BAE Systems Machine Learning Scientist II in Burlington, Massachusetts
Looking to develop innovative algorithm and software solutions for challenging real-world problems in entrepreneurial, collaborative, agile, multidisciplinary teams focused on advancing the state-of-the-art? You ve found the right place!
BAE Systems is looking for a Research Scientist to join theirSpecial Activity Exploitation (SAX)research group. SAX is part of BAE Systems FAST Labs division which is heavily involved in advanced research concepts primarily from the various government research labs and organizations, including DARPA and IARPA. Members of the group are involved in the entire cycle of research development, from the initial concept ideation and program shaping with potential customers and new business pursuits through the execution and transition of research concepts to BAE Systems business areas and products. Most programs involve small teams of principal engineers and academically strong assistant researchers.
TheSAX directorate is a cutting-edge, multidisciplinary research and engineering organization that is the FAST Labs lead for invention and application of innovative machine learning, control, and optimization approaches to learn patterns of behavior from a wide range of data sources, including real-time sensor feeds. Exploitation uses of these behavioral models include anomaly and change detection, prediction of future behavior, and recognition of complex events and activities. Applications of our technology include terrestrial, maritime, and space domains over a range of sensing modalities (e.g., radar, full motion video, radio communication) spanning the technology readiness spectrum from basic research through fielded operational systems. Our cutting edge projects and opportunities advance the frontiers of science as well as contributing to practical systems that solve real problems.
We are seeking a highly creative Research Scientist to contribute to the development of advanced algorithms and systems in diverse research areas applying machine learning, probabilistic reasoning, adaptive control, and/or optimization to cutting edge problems such as learning normal behavior patterns of tracked entities (e.g., dismounts, vehicles, vessels, aircraft, satellites, software-defined radios, cyber system users and hosts) to detect anomalous activity or changes in patterns, predict future behavior, or provide advance warning of impending threats to friendly assets. You must be highly motivated, have solid problem-solving abilities, and be willing to perform a wide variety of related tasks.
You must be a team player with a proactive attitude and the capacity to be creative and productive in a dynamic, fast-paced environment. You must have strong writing and general communication skills, and strong presentation skills are a definite plus. You may participate in meetings with customers, co-contractors, and/or sub-contractors. Some travel may be required to support customer or collaborator meetings, software integration and testing, and/or capability demonstrations.
Typically our project workflow involves: (1) researching solutions developed in-house or published in scientific literature to determine applicability and identify strengths and weaknesses; (2) creating prototypes (typically in MATLAB) to support demonstration and evaluation of key algorithmic ideas on (often real) data; and (3) developing robust, real-time implementations suitable for target hardware/software environments.
As a successful candidate, you: (a) will participate in small teams of research, software, and (potentially) systems engineers that may include members from collaborating universities, other companies, and customer organizations; and (b) will interact directly with customers to participate in design reviews, support integration, testing, and demonstration, and/or produce clear, user-friendly documentation. Solid general written and oral communication skills are critical to your professional success in this role.
U.S. citizenship is required.
Typical Education & Experience
Typically a Bachelor's Degree and 2 years work experience or equivalent experience
Required Skills and Education
Required education: Bachelors Degree with 2 years experience or aMasters degree in Computer Science or Engineering-related discipline with or without professional experience (specialization in Machine Learning, Statistics, Computational Neuroscience, and/or Controls and Optimization particularly valuable);
Must be a US Citizen and eligible to obtain a security clearance
Detailed knowledge (including understanding of strengths and weaknesses of various approaches), application, analysis, and development in at least one of machine learning, probabilistic reasoning, adaptive control, and/or optimization
MATLAB proficiency to perform: (1) rapid design, prototyping, analysis, and simulation of, and experimentation with, advanced algorithms and applications; and (2) data analysis
Strong writing and presentation skills
Experience presenting to technical audiences
Preferred Skills and Education
- Record of publications will be viewed favorably
About BAE Systems Electronic Systems
BAE Systems is a premier global defense and security company with approximately 90,000 employees delivering a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support and services. BAE Systems is a premier global defense and security company with approximately 90,000 employees delivering a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support and services.
The Electronic Systems (ES) sector spans the commercial and defense electronics markets with a broad portfolio of mission-critical electronic systems, including flight and engine controls; electronic warfare and night vision systems; surveillance and reconnaissance sensors; secure networked communications equipment; geospatial imagery intelligence products and systems; mission management; and power-and energy-management systems. Headquartered in Nashua, New Hampshire, ES employs approximately 13,000 people globally, with engineering and manufacturing functions primarily in the United States, United Kingdom, and Israel. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression
Machine Learning Scientist II
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