Menlo Ventures
San Francisco, California
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 Staff Infrastructure Engineer on our team you will work end to end, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines. Familiarity with language model training, evaluation, and inference is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 3+ years of highly relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, ) The expected salary range for this position is: $315,000 - $560,000 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.
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 Staff Infrastructure Engineer on our team you will work end to end, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines. Familiarity with language model training, evaluation, and inference is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 3+ years of highly relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, ) The expected salary range for this position is: $315,000 - $560,000 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.
Cellanome Job Board
Director of Corporate & Business Development We're a well-funded start-up. You'll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth. Here's what sets us apart. We've set our sights on some of the biggest challenges facing biology today. We're amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads on. We're passionate about developing the next generation technologies that will unravel the complexities of biology. This is a unique opportunity to build, be part of an exciting start up and be surrounded by good humans who are super capable, humble and down to earth. Reporting into the Head of Operations & Corporate/Business Development, the Director of Corporate & Business Development will lead our strategy and partnership initiatives within the Cell & Gene Therapy and Drug Discovery sectors. This is a critical role that will shape how Cellanome's technology and products are positioned, marketed, and sold to BioPharma customers, including CDMOs. The ideal candidate will combine deep technical expertise with proven business development experience to identify, evaluate, and close strategic deals that accelerate our growth. Source, evaluate, and negotiate development deals, licensing agreements, and strategic partnerships with pharmaceutical, biotech, and CDMO companies in the Cell & Gene Therapy and Drug Discovery sectors. Cultivate and manage consortiums to advance collaborative research initiatives and multi partner programs leveraging Cellanome's technology. Collaborate closely with internal teams to define and refine product offerings that leverage Cellanome's technology platform to meet market needs. Build and maintain a robust pipeline of qualified opportunities and drive deals through to closure. Develop market intelligence and competitive insights to inform product strategy and positioning. Represent Cellanome at industry conferences and customer meetings. Role Requirements Typically requires a minimum of 15 years of BioPharma or Life Sciences experience with substantial focus on Cell & Gene Therapy and/or Drug Discovery. Scientific degree (PhD preferred, MS considered) in cell biology or related field; MBA a plus. Strong technical background with deep understanding of cell therapy workflows, gene therapy development, drug discovery, and associated analytical and manufacturing requirements. Demonstrated business development track record including development deals and/or licensing agreements. Proven experience cultivating and managing consortiums or multi partner collaborative development programs. Proven ability to identify, qualify, and close complex strategic partnerships. Excellent communication and negotiation skills with ability to engage effectively at all organizational levels, from technical staff to C suite executives. Valid passport and driver's license. Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations. Preferred Qualifications Experience with single cell analysis technologies or imaging platforms. Existing relationships within BioPharma business development and R&D organizations. Experience working with CDMOs or in a CDMO environment. We provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $195,000 - $240,000/year. Within the range, individual pay is determined by work location and additional factors, including job related skills, experience, and relevant education or training. What you can expect from us You'll feel the energy when you walk in our door - we work hard, we have fun and we have ambitious plans to grow. Cellanome offers a comprehensive employment package that includes a competitive salary, generous stock options, great individual and family health plans, a 401(k) and flexibility to balance work and life. We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Director of Corporate & Business Development We're a well-funded start-up. You'll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth. Here's what sets us apart. We've set our sights on some of the biggest challenges facing biology today. We're amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads on. We're passionate about developing the next generation technologies that will unravel the complexities of biology. This is a unique opportunity to build, be part of an exciting start up and be surrounded by good humans who are super capable, humble and down to earth. Reporting into the Head of Operations & Corporate/Business Development, the Director of Corporate & Business Development will lead our strategy and partnership initiatives within the Cell & Gene Therapy and Drug Discovery sectors. This is a critical role that will shape how Cellanome's technology and products are positioned, marketed, and sold to BioPharma customers, including CDMOs. The ideal candidate will combine deep technical expertise with proven business development experience to identify, evaluate, and close strategic deals that accelerate our growth. Source, evaluate, and negotiate development deals, licensing agreements, and strategic partnerships with pharmaceutical, biotech, and CDMO companies in the Cell & Gene Therapy and Drug Discovery sectors. Cultivate and manage consortiums to advance collaborative research initiatives and multi partner programs leveraging Cellanome's technology. Collaborate closely with internal teams to define and refine product offerings that leverage Cellanome's technology platform to meet market needs. Build and maintain a robust pipeline of qualified opportunities and drive deals through to closure. Develop market intelligence and competitive insights to inform product strategy and positioning. Represent Cellanome at industry conferences and customer meetings. Role Requirements Typically requires a minimum of 15 years of BioPharma or Life Sciences experience with substantial focus on Cell & Gene Therapy and/or Drug Discovery. Scientific degree (PhD preferred, MS considered) in cell biology or related field; MBA a plus. Strong technical background with deep understanding of cell therapy workflows, gene therapy development, drug discovery, and associated analytical and manufacturing requirements. Demonstrated business development track record including development deals and/or licensing agreements. Proven experience cultivating and managing consortiums or multi partner collaborative development programs. Proven ability to identify, qualify, and close complex strategic partnerships. Excellent communication and negotiation skills with ability to engage effectively at all organizational levels, from technical staff to C suite executives. Valid passport and driver's license. Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations. Preferred Qualifications Experience with single cell analysis technologies or imaging platforms. Existing relationships within BioPharma business development and R&D organizations. Experience working with CDMOs or in a CDMO environment. We provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $195,000 - $240,000/year. Within the range, individual pay is determined by work location and additional factors, including job related skills, experience, and relevant education or training. What you can expect from us You'll feel the energy when you walk in our door - we work hard, we have fun and we have ambitious plans to grow. Cellanome offers a comprehensive employment package that includes a competitive salary, generous stock options, great individual and family health plans, a 401(k) and flexibility to balance work and life. We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.