Machine Learning Engineer - Autonomy Lab
Solution Development
You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
Hands-on Prototyping
You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain).
Strategy
You’ll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering agenda regarding future technology.
Collaboration
You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research and engineering directions.
Mentoring
You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.
About the Role
As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems.
Requirements
- BS in Computer Science or related discipline with eight (8) years of experience;
- MS in the same fields with five (5) years of experience;
- PhD in Computer Science with two (2) years of experience.
You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week. Flexible to travel to other SEI offices, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.
Qualifications
- Deep Technical Knowledge: Extensive research or engineering activities in applied machine learning and artificial intelligence; tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas; systems engineering principles; multi-disciplinary project teams; requirements for successful deployment and operation of complex systems.
- Machine Learning: Profound understanding of machine learning principles; designing and implementing complex machine learning functions and architectures tailored to specific autonomous systems; simulation environments; model experimentation software (e.g., MLFlow or Weights & Biases); rigorous model development and selection.
- Robotics & Autonomy: Strong understanding of robotics principles and design techniques; sensor fusion, navigation, object search/tracking, collision avoidance, multi-agent collaboration, human-machine teaming.
- Test & Evaluation: Designing and conducting test and evaluation activities for ML components; working with model experimentation software; rigorous model development and selection.
- Applied Full-Stack Implementation: Strong development experience; designing and implementing software and systems resources for packaging and managing requirements for AI and ML prototypes; tools like Docker; cloud platforms (Azure, AWS, Google Cloud Platform).
- Communication and Collaboration: Strong written and verbal communication skills; interacting collaboratively and diplomatically with customers and colleagues; presenting complex ideas to people who may not have a deep understanding of the subject area.
- Dedication: Meeting deadlines while multi-tasking; under pressure and with shifting priorities.
- Knowledge and Learning: Broad technical interests; deep knowledge of a particular field such as machine learning, autonomy and adaptive systems, or data analytics.
Skills
- Thought Leadership and Publications: Synthesizing lessons learned from research or engineering activities for publication; reputation for the highest level of research and engineering integrity; published research, code (e.g., models, data, software applications), or technical perspectives.
- Familiarity with Emerging Trends and Opportunities: Technical challenges and emerging trends in computing and information science; opportunities in industry and government.
- Technical Leadership: Leading technical projects; collaborating across research teams and mentoring other researchers; delivering successful research and engineering proposals to funding agencies and leading the resulting projects.
- Government Projects: Working or being familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors.
Benefits
Comprehensive medical, prescription, dental, and vision insurance; generous retirement savings program with employer contributions; tuition benefits; paid time off and observed holidays; life and accidental death and disability insurance; free Pittsburgh Regional Transit bus pass; childcare assistance; fitness center access; and much more!
Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff – Regular Full Time/Part time Full time
Pay Basis
Salary
More Information
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