Machine Learning Scientist

Job Description

Job Description Looking to make a difference innovating in disruptive technologies? Solving the Defense and Intelligence Communities’ hardest problems with innovative software and hardware solutions, BAE Systems FAST LabsTM is technology’s leading-edge destination for thought leaders. FAST Labs is growing, and we are looking for a Machine Learning Scientist to develop advanced sensor exploitation algorithms through the application of cutting-edge artificial intelligence (AI), machine learning (ML), and statistical signal processing methods.
As part of a team of researchers, software, and systems engineers, you will act as principal investigator (PI) or task lead on R&D projects involving machine learning, in collaboration with chief scientists. Your contributions will help develop new and existing customer relationships at DARPA, Air Force Research Lab (AFRL), Office of Naval Research (ONR), and the Intelligence Community (IC) in areas relating to challenging algorithm development applications. As PI, you will lead and execute the following:

• Research techniques and solutions developed in-house, by or with universities, or published in scientific literature
• Participate in external project interactions with customers, other companies, and academic institutions
• Generate ideas for potential proposals and write technical sections of white papers and proposals
• Lead/participate in the creation of prototypes (typically in MATLAB or Python) and design reviews
• Design, develop, execute, and implement research projects involving complex sub-systems
• Support demonstration and transition of new technology from R&D to BAE Systems’ business areas and customers
• Deliver technical reporting, documentation, and support briefings for customers on technical concepts
• Author/co-author external publications (conference or workshop papers/presentations, journal articles, and books) and/or invention disclosures as appropriate

Location
This position will be based out of our facility in renowned Research Triangle Park, NC. Relocation is available. Some travel is required for collaboration with customers and with staff across our US business areas and facilities. We offer competitive compensation and benefits, a supportive and fun work environment with real offices where you can think (no cubes!), and a respectful, inclusive team culture.Typical Education & Experience Bachelor’s Degree with 4+ year of professional research experience
• Master’s Degree with 2+ years of professional research experience
• Doctorate with research experience
• Contributes to/participates in professional societiesRequired Skills and Education

• US citizen or green card holder, with ability to get a SECRET clearance
• Demonstrated written and oral communication and presentation skills
• Commitment to inclusive teamwork and collaboration, as well as ability to work independently on hard problems
• Track record of innovative research in AI/ML algorithms and technologies
• Technically knowledgeable and experienced in two or more of the following domain areas:
  • Machine learning detection and classification
  • Real-time tracking
  • Fusion and exploitation of multimodal sensor data, including RF and acoustic sources
  • Deep learning, transfer learning, reinforcement learning, and/or active learning
  • High performance GPU computing
  • Autonomy and sensor tasking
  • Game theory
  • Natural language processing
  • Activity based intelligence, e.g. anomaly detection, patterns of life, behavior recognition
  • Time series data analysis
  • Bayesian methods
  • Reduced order modeling
  • Embedded analytics at the edge
  • Feature engineering and dimensionality reduction

Preferred Skills and Education

• PhD degree in a technical field (EE, CS, OR, applied math or physics) with relevant thesis topic and 4+ years of relevant professional experience
• Proficiency with software prototyping, problem decomposition, and analysis tools (e.g. MATLAB/Octave, Python, Java)
• Experience leading multi-disciplinary technical teams and mentoring less experienced scientists
• Software engineering with OOP paradigms, e.g. C++, C#, or Java, and programmatic data access, e.g. SQL
• Experience with common deep learning frameworks, e.g. TensorFlow, PyTorch
• Experience in computer vision and in analyzing GMTI, EO, IR, RF, FMV, WAMI, EW, satellite imagery
• Parallel computing and algorithm acceleration or optimization, e.g. CUDA, OpenCL, MPI
• Record of publications, patents, proposals, university collaborations, and/or involvement with professional societies will be viewed favorably
• Active SECRET or higher clearance preferred

About BAE Systems Electronic Systems BAE Systems Electronic Systems is the global innovator behind game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere – from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact – for our customers and the communities we serve.