Machine Learning Developer
Salary not listed • Lexington, MA, US • Full-time
Posted 1h ago
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Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
The Transportation Safety and Resilience Group is seeking individuals with a background in applied engineering, modeling, simulation, and machine learning to develop algorithms and systems for autonomous and semi-autonomous vehicles. This role involves creating new advanced decision support systems, architectures, and techniques for deploying semi-autonomous systems within the broader transportation domain. Key problem areas include algorithm development for collision avoidance, real-time contingency management, inter-vehicle coordination, and validation of decision support, surveillance, and tracking systems. The successful candidate will analyze operational problems, develop deployable solutions, and extend the group's impact across the transportation sector. Familiarity with modern machine learning approaches, particularly reinforcement learning, is expected. Additional responsibilities include leading applied research and development programs, formulating novel approaches to challenges, and publishing research findings.
Responsibilities
- Develop algorithms and systems for autonomous and semi-autonomous vehicles.
- Develop new advanced decision support systems, architectures, and techniques for semi-autonomous systems.
- Develop algorithms for collision avoidance logic.
- Develop algorithms for real-time contingency management.
- Develop algorithms for inter-vehicle coordination.
- Develop algorithms for validation of decision support, surveillance, and tracking systems.
- Analyze operational problems in detail and develop deployable solutions.
- Lead and develop applied research and development programs in the transportation domain.
- Formulate new approaches to existing challenges.
- Publish research results in conferences/journals.
Requirements
- PhD in engineering, physics, mathematics, or computer science, or a Master's degree with four years of relevant experience.
- Experience with state-of-the-art machine learning approaches and architectures.
- Experience developing algorithms and architectures for advancement and deployment of autonomous systems.
- Experience with reinforcement learning.
- Publication record with conference and/or journal articles.
- Experience with algorithmic software development in Python.
- Ability to collaborate well as part of a team with good interpersonal skills.
- Ability to effectively distill and distribute concepts and results to a wide audience.
Benefits
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (including vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- A range of work-life balance options