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Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description Naval Nuclear Laboratory has internship opportunities for college students to spend the summer of 2027 getting great work experience, in great locations, supporting the world's greatest Navy. Are you a Computer Engineering student that is interested in a challenging and unique internship supporting the Navy? If so, apply at NNL! NNL Summer Technical Internships offer you an immersive professional experience in your field of study. You have the opportunity to work directly with world class engineers, scientists, researchers, and technicians who will provide you with real-world experience and mentorship. We work with state-of-the-art techniques researching and developing new technologies and concepts; designing and testing software, components or integrated systems; developing models and performing data analysis; supporting operations and developing process controls and procedures. At NNL you are a part of a team working on deliverables that have a direct impact on the Navy's nuclear fleet. Program highlights include: Final presentation to management, peers, and other NNL employees Meet directly with NNL General Manager and Executive Leadership Partnership with a mentor Opportunity to tour local NNL site facilities Trip to a Naval Shipyard for a guided tour Extensive networking opportunities The NNL Internship is a 10-12 week program starting in May/June 2027. An internship position may result in a return internship or full-time employment offer upon successful completion of the program. Required Combination of Knowledge and Skill Candidates for Computer Engineering internship positions must be: Pursuing Computer Engineering, Software Engineering, Computer Science, or related BS, MS or PhD degrees from an accredited college or university Must have completed at least first full year of college by May 2027 Enrolled/continuing in a degree program throughout this internship Students must attach most recent unofficial college transcripts and resume (including anticipated graduation date) to the employment application. We will not accept any applications that do not include this information. Preferred Skills Cumulative minimum GPA 3.0/4.0 Prior related internship, co-op or work experience (paid or volunteer) Department of Energy (DOE), Department of Defense (DOD) or Naval Nuclear Program experience Experience with Git based repositories Experience with PowerApps, C++, and Python Compensation and Benefits NNL offers an outstanding Compensation and Benefits package for interns which includes: Competitive Salary Defined Contribution Retirement Plans:401(k) Plan with company match Capital Accumulation Plan (CAP) with company contribution Flexible work schedules and 9/80 work schedule option (every other Friday off). Hybrid work schedule may be available Stipend for qualified applicants (school and home address must be >50 miles from assigned work location) Pay Range $25.00/hour-$42.50/hour Salary information provided is a general guideline only. Hourly salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our team is organized around the north star goal of building an AI scientist - a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers - as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development Qualifications Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Preferred additional skills Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning Compensation The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $340,000 - $425,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. EEO statement As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Position overview Salary range: The salary range for this position is $165,900 -$242,000. This position includes membership in the Health Sciences Compensation Plan Application Window Open date: September 17, 2025 Most recent review date: Monday, Oct 13, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The University of California Davis, School of Medicine, Department of Radiation Oncology is recruiting a faculty position for an Assistant/Associate Professor in the Health Sciences Clinical Professor series (HSCP), salary commensurate with experience and qualifications. Expectations of a faculty in the HSCP series are primarily clinical and include teaching, service and scholarly and/or creative activities. Qualified candidates must have a Ph.D. in Medical Physics or related field of study pertinent to medical physics and be board eligible/certified. For the Associate level, a demonstrated ability to obtain extramural funding is highly desirable. The successful candidate will be expected to participate and/or provide significant leadership in the advanced clinical and research programs in image-guided IMRT and VMAT, SBRT, radiosurgery, brachytherapy, in vivo dosimetry, and informatics infrastructure development. The successful candidate will also be expected to teach in our medical physics courses for physician and physics residents, as well as contribute to continuing medical education efforts for our staff. The radiation oncology department is located in the NCI Designated Comprehensive Cancer Center in Sacramento, California. We have full-member status with the NRG-Radiation Therapy Oncology Group, an ACGME accredited physician residency training program, and CAMPEP accreditation for our medical physics residency program. There are research affiliations with the UC Davis School of Veterinary Medicine, UC Davis Department of Biomedical Engineering, Sutter Medical Foundation, and the Lawrence Livermore National Laboratory, and potential relationships with Cancer Center Network sites. Our downtown facility has two matched Elekta Versa linacs with Agility MLC, a TomoTherapy Radixact, and a GammaKnife ICON all managed by the Elekta Mosaiq EMR system. Treatment planning is performed with Raystation treatment planning system. Ancillary systems include SNC Suncheck, AlignRT and MIM Vista. UC Davis Cancer Center has a very active image-guided high dose rate (HDR) Brachytherapy (IGBT) suite with Samsung Neurologica Mobile CT, Elekta Flexitron afterloader, and the Oncentra brachytherapy treatment planning system treating gynecological, prostate, lung and skin sites. Our IGBT Special Procedure Suite is located within the department, and it is a substantial asset to our highly regarded brachytherapy programs that serve patients from Northern California and Nevada. The UC Davis department of Radiation Oncology clinic is committed to providing the most advanced treatment delivery and image-guided technologies. Clinical Experience: Board certified or eligible (ABR or CCPM) are required for this position, which includes experience in radiation therapy treatment planning and dosimetry with external beam and sealed source radioactive materials. The successful applicant will join our other faculty on the Approved List of the California Department of Public Health, Radiologic Health Branch as an individual approved to perform Radiation Shielding Design, Therapy Machine Calibrations, and Radiation Protection Surveys in accordance with California Code of Regulations, Title 17, sections 30305(a)(5), 30312(b)(4), and 30312(b)(5). Teaching experience: The department offers a CAMPEP accredited residency in clinical radiation therapy physics and participation in teaching within the training program is expected of all physics faculty. Each year a 50+ lecture series on radiation therapy physics is offered to medical students, residents, and fellows on a wide range of topics in medical physics in accordance with the syllabus recommended by the American Board of Radiology and CAMPEP. Lecturers include faculty from within Radiation Oncology, Radiology, Biomedical Engineering, School of Veterinary Medicine, and guest lecturers from other institutions. Written, oral, and mock exams are offered by the faculty for training purposes in addition to clinical rotations with the residents that may include participation in clinical research projects, typically involving technology development within the clinics established and emerging programs. Research Experience: This position is predominately clinical and teaching focused, however, there is ample opportunity for clinically applied research. The department has an NIH grant for participation in NRG Oncology clinical trials, and several of the faculty have funded research from both public and industry sources. Research opportunities within the department will be enhanced in 2025-26 with new technology including a TomoTherapy Radixact system with Synchrony real-time motion management. Clinical plans include a new Varian Edge machine to be installed for our expanding SRS-SBRT programs Administrative Experience: Effective communication skills, success in working in a collaborative environment, and demonstrated experience in adhering to policies and procedures are important aspects of this position. Experience in professional service including committees, leadership experience, and professional societies are encouraged and supported. Diversity/Collegiality: Demonstrated ability to work cooperatively and collegially within a diverse environment. Interested applicants should respond with a cover letter, a statement of teaching, current CV, authorization to release Information form and contact information for 3 references: All documents must be submitted as a PDF file. Qualifications Basic qualifications (required at time of application) Ph.D. in medical physics or other field of study pertinent to medical physics is required Board certified or eligible (ABR or CCPM) in radiation therapy physics Effective communication skills and success in working in a collaborative research environment are essential. Demonstrated ability to work cooperatively and collegially Teaching experience: including delivery of required lectures and course design. Preferred qualifications (other preferred, but not required, qualifications for the position) A track record in research publications and funding that are directly related to the mission of Radiation Oncology is preferred Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V. Cover Letter Statement of Research (Optional) Statement of Teaching Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form. Reference requirements 3-5 required (contact information only) Apply link: Help contact: About UC Davis As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy for Employees, Students and Third Parties APM - 035: Affirmative Action and Nondiscrimination in Employment To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, "Authorization to Release Information" into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration. UC Davis is a smoke and tobacco-free campus (). The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state for federal law. Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986 . click apply for full job details

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Naval Nuclear Laboratory (NNL) Naval Reactors Facility (NRF) Security Engineering is responsible for maintaining the physical security of the NRF site. Some of the tasks are researching new equipment, creating preventative maintenance procedures, creating work tasks, working on a computer system and network, supporting design of new facilities and infrastructure, as well as interpreting DOE manuals and orders as they apply to NRF. This position may require supporting the NRF site during non-standard hours either through phone communications or coming to the work location. Security engineers work closely with Security Police officers, Facilities and Construction engineering, Instrumentation & Control technicians, NRF Locksmiths, and peers at the other NNL location. This position requires working with construction groups, reviewing drawings, supporting development of Physical security plans, review of power outages and excavation permits. It is important for the candidate to be detail oriented, familiar with construction drawings and able to work with multiple groups. Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in a related technical, engineering or science field and a minimum of 9 years of relevant experience; or Masters degree from an accredited college or university in a related technical, engineering or science field and a minimum of 7 years of relevant experience; or Doctorate degree from an accredited college or university in a related technical, engineering, science field and a minimum of 3 years of relevant experience; or Currently a Principal Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer at the Company. Preferred Skills Degrees in Electrical Engineering or Electrical Engineering Technology are preferred. Experience with construction drawing sets. Strong attention to detail. Excellent verbal and written skills. Able to communicate effectively to all individuals within an organization. Experience with power systems. Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $117,900.00 - $184,300.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details

Commercial Counsel, Datacenters & Construction 1 week ago Be among the first 25 applicants About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role As a Commercial Counsel for Datacenters & Construction at Anthropic, you'll lead legal execution for Anthropic's largest physical infrastructure transactions: direct datacenter leases, construction agreements, and the financing structures that enable infrastructure investments at massive scale. This role focuses on facilities where Anthropic has direct control through ownership or long term lease, complementing the colo & networks, and cloud compute legal teammates (facilities where Anthropic is tenant, and our hyperscaler relationships, respectively). You'll work in close partnership with specialized outside counsel on financing and real estate matters, serving as the in house coordinator who ensures external work product aligns with Anthropic's commercial objectives and integrates with our overall compute strategy. Responsibilities Negotiate long term datacenter leases with major developers, and represent some of Anthropic's largest and lengthiest capital commitments Support and structure power purchase agreements, negotiate utility interconnection agreements, and manage utility related legal requirements or initiatives e.g., renewables Coordinate construction adjacent agreements including design build contracts, equipment procurement, and commissioning schedules Manage legal workstreams for complex financing structures (e.g., sale leasebacks, tax components, or project finance vehicles) Work closely with specialized outside counsel (real estate and financing specialists), ensuring their work product aligns with Anthropic's commercial objectives Collaborate with compute team's transaction managers who handle operational execution and project management, providing legal and risk management expertise Coordinate with finance and corporate development on strategic deal structuring Understand how datacenter legal structures interact with the compute capacity they will house e.g., power requirements, cooling specifications, security standards, and expansion rights all flow from decisions made elsewhere in the Compute organization Escalate novel structures or terms that create downstream risk for Anthropic's operational flexibility to managers; ensure facility designs accommodate AI specific requirements including high density power, liquid cooling infrastructure, and rapid scaling capacity You Might Be a Good Fit If You Have JD and active membership in at least one U.S. state bar At least 8 years of relevant legal experience with meaningful exposure to project finance, construction contracts, or infrastructure real estate transactions Fluency in commercial real estate and construction contracting; datacenter lease structures, construction risk allocation, and financing arrangements (and how they will interact) Experience with EPC, AIA, and design build arrangements at scale Comfort with project finance structures and the interplay between lease, financing, and development agreements Ability to coordinate effectively with specialized outside counsel while maintaining strategic direction Strong judgment about when deal terms create downstream risk for operational flexibility Effective collaboration skills for working with business teams who handle transaction management and site selection Communication skills that translate complex real estate and financing concepts into clear risk assessments for business stakeholders Genuine interest in infrastructure development and appreciation for why datacenter capacity is mission critical for frontier AI Strong Candidates May Have In house experience at datacenter developers supporting leasing, project development, and financing transactions Background at infrastructure private equity firms with exposure to datacenter or similar infrastructure investments Experience at large technology companies with datacenter construction programs (Meta, Google, Microsoft) supporting development transactions from the buy side Law firm experience at practices with infrastructure finance or project development specialization, particularly those who have worked on datacenter, power, or similar infrastructure financings Prior involvement in transactions requiring sophisticated understanding of construction timelines, commissioning requirements, and operational handoff Familiarity with tax structures, sale leaseback arrangements, or other financing vehicles used in large scale infrastructure development Role specific policy For this role, we expect staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. Annual Salary $265,000-$320,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How We're Different We believe that the highest impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large scale research efforts. And we value impact - advancing our long term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT 3, Circuit Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. Seniority level Mid Senior level Employment type Full time Job function Legal Industries Research Services Referrals increase your chances of interviewing at Anthropic by 2x San Francisco, CA $265,000.00-$320,000.00 3 days ago Get notified about new Commercial Lawyer jobs in San Francisco, CA.

National Radio Astronomy Observatory Title: Tour Guide Location: NRAO, PO Box 2, GREEN BANK, West Virginia, United States of America Requisition Number: 163 Job Family: Tour Guide Pay Type: Hourly Required Education: CRA Position Description: Position Summary The Green Bank Observatory (GBO) enables leading edge research at radio wavelengths by offering telescope, facility and advanced instrumentation access to the astronomy community as well as to other basic and applied research communities. With radio astronomy as its foundation, the GBO is a world leader in advancing research, innovation, and education. In addition to its scientific work, the Observatory is committed to outreach and education. The Observatory offers a wide range of programs and resources for students, teachers, and the general public, including tours, lectures, and online resources. At GBO, we are seeking seasonal full-time Tour Guides to communicate the Observatory's mission to the public and provide assistance in creating, organizing, and conducting astronomy/science awareness programs for visitors to the observatory. This is a Safety Sensitive Position as noted below. Tour guides must have a pleasant disposition, excellent communication skills, and patience and tact in working with the public. They must be comfortable with public speaking and be able to deliver presentations with a professional appearance. Demonstrated comfort with learning scientific material, experience interacting with the public, and enthusiasm for public education are key success factors in the performance of this role. These positions will be based at the Green Bank Observatory and are initially for a 12-week period. Continuation may be possible depending on need and availability. What You Will be Doing: Leading guided tours, which includes giving auditorium presentations and driving tour buses. Creating a welcoming experience by greeting guests and providing excellent customer service. Assisting with school field trips and motor coach tours. Delivering informal docent programs to the public and youth groups. Monitoring exhibits and assisting with basic troubleshooting. Opening & closing the Science Center building and exhibit hall as scheduled. Assisting with cleaning and upkeep of buses and presentation and public spaces throughout the day. Assisting with stocking the gift shop and covering the register and front desk as needed. Other duties as assigned. Work Environment Work is mission driven, team oriented and typically performed in a public facility within a research and development environment. This position also includes some time in the office and some time spent outdoors. Who You Are: You have a High School diploma You are at least age 18 with a valid driver's license You are comfortable with the physical demands required for prolonged periods of speaking, frequent standing, walking, climbing in and out of buses, driving a tour bus, operating a wheelchair lift, and occasionally lifting up to 50 lbs. You have demonstrated public speaking skills While not required, you may have experience: working with the public taking high school or college level science or engineering courses. Competency Summary High level of competency in Microsoft software products and web-based systems. Attention to detail is critical Excellent communication skills Additional Requirement Schedule flexibility required, including regular weekend availability Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Compensation Associated Universities, Inc. strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. The starting salary/hourly rate of this position is $15.00 per hour. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 15-15 Hourly Wage PI618aed0fcad3-5032

Open-Rank, Term Information Sciences and Technology Faculty Arlington, VA Fairfax, VA Manassas, VA Instructional Faculty Opening on: Dec Add to favorites View favorites Department: Col of Engineering and Computing Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax / Manassas (Sci-Tech) / Arlington, VA Workplace Type: Hybrid Eligible Sponsorship: This position is eligible for sponsorship Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the Department: The Department of Information Sciences and Technology (IST) includes 45 full-time faculty with research spanning artificial intelligence, cybersecurity, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS in Information Technology serving more than 2,000 students, and also oversees the MS in Applied Information Technology (AIT), the MS in Information Systems (IS), and participates in interdisciplinary programs and the IT PhD. IST's research is supported by NSF, DoD, NIH, DARPA, and other federal agencies. About the Position: The Department of Information Sciences and Technology invites applications for multiple renewable-term, non-tenure-track faculty positions at the academic rank of Assistant, Associate or Full Professor, or at the rank of Instructor, beginning Fall 2026. Candidates for this position will be expected to teach and develop undergraduate and graduate courses; participate in university, college, and departmental governance; professional and public service; advising students; and performing related instructional assignments such as supervising senior projects, student internships, and practicum. Applicants at the rank of Associate or Full Professor must have interests in outreach, curriculum development, and significant experience in an academic setting in teaching for at least six years post Ph.D. Responsibilities: Teaches at the undergraduate and/or graduate level in the classroom and/or online; As department needs dictate, develops and coordinates courses and manages adjunct faculty and graduate teaching assistants; Participates in student advising; and Performs other departmental/university service duties and serves the profession. Required Qualifications: Applicants for the position of Assistant/Associate or Full Professor must have received a Ph.D. in Information Sciences, Information Technology, Computer Science, or related field; Senior applicants for Associate Professor or Professor positions should also have an established record of teaching experience;' Applicants who have received an MS/MA in the fields listed above or an MBA/MPA with a significant portion of the program devoted to Information Technology will be considered for Instructor positions; and Demonstrated potential for excellence in teaching. Preferred Qualifications: Applicants in all areas of Information Science and Technology, computing, and related areas will be given full consideration. We are particularly interested in applicants in the areas of Artificial Intelligence (including Generative AI & LLM, Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, Information System Design, Databases, Web Application Development and Programming, Operating Systems, Project Management, and Senior Design Capstone. Strong applicants from other areas are encouraged to apply and will also be considered; Related industry and/or teaching experience, preferably both; Administrative and/or managerial experience; and Ability to build collaborations with other departments within the College and across the University. Instructions to Applicants: For full consideration, applicants must apply for the Open-Rank, Term Information Sciences and Technology Faculty at Complete and submit the online application to include three professional references with contact information; and upload 1) a cover letter, 2) complete CV with publications, 3) statement of professional goals including your perspective on teaching (upload as Philosophy of Teaching), 4) research statement (optional), and 5) transcript (optional). Review of applications will continue until the position is filled. Posting Open Date: December 10, 2025 For Full Consideration, Apply by: January 19, 2026 Open Until Filled: Yes A Force for Innovation in the Heart of Northern Virginia's Technology Corridor About the College The College of Engineering and Computing (CEC) at George Mason University is a fast-growing force for innovation in research and education. Ranked nationally in the top 100 in both undergraduate and graduate education, the CEC enrolled a record high of 10,933 students in fall 2023. The college has 34 undergraduate, master's, and doctoral degree programs including several first-in-the-nation offerings. Of its 320 full-time faculty, 93 are tenured, 77 are tenure-track, 90 are term faculty, and 60 are research faculty. As part of a nationally ranked research university, CEC research teams expended $65 million in sponsored research awards in the past year and had projects with over $119 million in current and anticipated awards. The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architecture, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more. The college encourages and supports multidisciplinary research and provides ample opportunity for faculty to work with other disciplines. About the University and the Region George Mason University is the largest and most diverse public research university in Virginia, with an enrollment of more than 40,000 students studying in over 200 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education. The university has campuses in Fairfax, Arlington, and Prince William County. Its proximity to Washington, D.C. provides unmatched geographical access to federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. The region is consistently rated as being among the best places to live in the country and has an outstanding local public school system. About the Future In conjunction with Amazon's decision to establish a second headquarters in Northern Virginia, the Commonwealth of Virginia announced a multi-year plan to invest in the growth of degree programs in computing. As a result, Mason has committed to accelerate its plans to grow its capacity in computing and high-tech fields. Among the university's exciting initiatives are the launch of the Institute for Digital Innovation-a university think tank and incubator to serve the digital economy-and the expansion of Mason Square, home to its Arlington facilities. In 2025, Fuse, a new 355,000 square foot building, will open to students, faculty, and research teams. This net-zero facility will house the Institute for Digital Innovation, state-of the-art classrooms, labs, and collaborative spaces. It will also include retail space, and leasing opportunities for local businesses. These initiatives reflect hundreds of millions of dollars in new investment by Mason that will rapidly elevate the university's already leading national position in computing and related areas.

Research Engineer, Reward Models Platform Remote-Friendly (Travel-Required) San Francisco, CA Seattle, WA New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts - turning days of manual experimentation into hours. You'll build the tools and infrastructure that enable researchers across the organization to develop, evaluate, and optimize reward signals for training our models. Yourscalable platforms will make it easy to experiment with different reward methodologies, assess their robustness, and iterate rapidly on improvements to help the rest of Anthropic train our reward models. This is a role for someone who wants to stay close to the science while having outsized leverage. You'll partner directly with researchers on the Rewards team and across the broader Fine Tuning organization to understand what slows them down: running human data experiments before adding to preference models, debugging reward hacks, comparing rubric methodologies across domains. Then you'll build the systems that make those workflows 10x faster. When you have bandwidth, you'll contribute directly to research projects yourself. Your work will directly impact our ability to scale reward development across domains, from crafting and evaluating rubrics to understanding the effects of human feedback data to detecting and mitigating reward hacks. We're looking for someone who combines strong engineering fundamentals with research experience - someone who can scope ambiguous problems, ship quickly, and cares as much about the science as the systems. Note: For this role, we conduct all interviews in Python. Responsibilities Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment Implement monitoring and observability systems to track reward signal quality and surface issues during training runs Collaborate with researchers to translate science requirements into platform capabilities Optimize existing systems for performance, reliability, and ease of use Contribute to the development of best practices and documentation for reward development workflows We may be a good fit if you Have prior research experience Are excited to work closely with researchers and translate ambiguous requirements into well scoped engineering projects Have strong Python skills Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user facing tooling Can balance building robust, maintainable systems with the need to move quickly in a research environment Are results oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work and are motivated by Anthropic's mission to develop safe AI Strong candidates may also have experience with Experience with ML research Building internal tooling and platforms for ML researchers Data quality assessment and pipeline optimization Experiment tracking, evaluation frameworks, or MLOps tooling Kubernetes, distributed systems, or cloud infrastructure Familiarity with reinforcement learning or fine tuning workflows Representative projects Building infrastructure that allows researchers to rapidly test new rubric designs against small models before scaling up Developing automated systems to detect reward hacks and surface problematic behaviors during training Creating tooling for comparing different grading methodologies and understanding their effects on model behavior Building a data quality flywheel that helps researchers identify problematic transcripts and feed improvements back into the system Developing dashboards and monitoring systems that give researchers visibility into reward signal quality across training runs Streamlining dataset preparation workflows to reduce latency and operational overhead Compensation The expected base compensation for this position is below. Our total compensation package for full time employees includes equity, benefits, and may include incentive compensation. $315,000 - $340,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large scale research efforts. And we value impact - advancing our long term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT 3, Circuit Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. EEO Statement As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.