At Boston Fusion, we recognize diversity is the catalyst for limitless creativity.
As a Principal Research Scientist for Boston Fusion, you will have the opportunity to utilize your knowledge of scientific research and software engineering best practices to contribute and drive research efforts in development of systems core to the success of future Intelligence, Surveillance, and Reconnaissance (ISR) activities.
This role will develop new approaches, investigate existing algorithms and models, design and perform scientific analyses, and develop solutions to complex research problems for military and intelligence community customers.
Every day, we go above and beyond to solve complex problems, making a difference for our nation. We do this by bringing together smart, curious people with diverse life experiences who collaborate creatively to achieve innovative technological breakthroughs. We are proudly building a work environment where you can bring your authentic self to work.
Due to the nature of our project work, we can only consider candidates with current US Citizenship.
Day to Day Responsibilities
- Lead proposal/business capture teams to shape, write and review proposals
- Interface with customers, including travel, to shape marketing efforts and effectively communicate technical results
- Investigate fundamental topics in a scientific field such as signal processing, artificial intelligence, machine learning, data science, physics and/or math
- Lead teams of two or more Scientists, Engineers, and Programmers, including identifying, assigning, and completing research and development tasks appropriate to each member of the team
- Provide strategic leadership role in working with a project / proposal team to identify the research approach, hypotheses to be tested, and program milestones to achieve all program objectives
- Facilitate collaboration in large, complex teams to ensure resulting technology (algorithms, software, frameworks) achieves all research objectives
- Select, improve, or design computational models
- Identify relevant research approaches, hypotheses to be tested, and program milestones to achieve all program objectives with project and/or proposal teams
- Provide scientific, technical and software design support to projects and proposals
- Design statistically valid experiments to test and validate resulting computational models
- Provide leadership and guidance in the analysis of results of the experiments using sound scientific principles
- Design experiments to test and validate computational models
- Establish and maintain a professional rapport with all project stakeholders (internal and external)
- Additional project and proposal duties as assigned
Additional Responsibilities:
- Occasional travel to attend and present at customer meetings and essential industry conferences
Required Education and Experience:
- Master's degree (13+ years' experience) or PhD (10+ years' experience) in cognitive sciences, engineering, mathematics, physics, or related field
- Excellent analytical and problem-solving skills
- Ability to prioritize and manage time effectively
- Excellent communication, writing and presentation skills
- Ability to work both collaboratively and independently
Required Technical Qualifications:
Demonstrates strong competency in every category and a mastery of at least one category
- Demonstrated competency in AI/ML, and/or signal processing and/or human-machine systems, and/or cognitive sciences, or social sciences, and/or computer vision, or other technical discipline
- Experience implementing modeling and analysis techniques, including machine learning and probabilistic modelling etc.
- Understanding of mathematical principles which underlie these modeling methods.
- Experience in implementing algorithms in standard programming languages such as Python, Java, C++.
- Experience in using sound software development techniques, e.g., testing, documentation, source control.
Preferred Technical Qualifications:
- Classical applied probabilistic, mathematical, and/or artificial intelligence methods (planning, searching, logic, uncertain knowledge, probabilistic reasoning, natural language processing)
- Machine learning frameworks (e.g., PyTorch, Scikit-learn) and concepts (e.g., supervised, unsupervised, active, and reinforcement learning; neural networks; generative, discriminative models)
Preferred Domain Knowledge:
- 5+ years of experience applying technology to US Department of Defense and/or Intelligence Community problems, including but not limited to the following: intelligence analysis, command and control, logistics, ISR, information operations, missile defense, operations in the cyber, space, or maritime domains
- 10+ years of experience in a research leadership role
Work Authorization/Security Clearance Requirements:
- U.S. citizenship (REQUIRED), DoD security clearance (PREFERRED)
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