AI/ML Engineer - Weather & Earth Systems
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 Air Traffic Control & Weather Systems Group at MIT Lincoln Laboratory is seeking an AI/ML engineer to develop end-to-end applications in weather and Earth systems domains. This role involves dataset procurement, algorithm development and training, and integration of models into operational prototypes. A strong foundation in data science and deep technical knowledge of weather and/or Earth systems science are critical. The ideal candidate will apply modern machine learning techniques to environmental data and enhance environmental sensing, forecasting, and decision support capabilities. This position contributes to both real-time operational system development and research-oriented trade studies, supporting national weather sensing and forecasting needs.
Responsibilities
- Conceptualize, develop, test, and deploy AI/ML algorithms using large-scale environmental datasets and high-performance computing resources.
- Assess algorithm performance using rigorous statistical and operational metrics and document results in formal publications.
- Build novel models and decision-support tools for weather situational awareness.
- Contribute to NOAA, FAA, and DoW programs advancing national weather sensing, forecasting, and decision support needs.
- Provide high-level and deeply technical analyses, including trade studies, reports, and presentations for government sponsors.
Requirements
- Ph.D. in Meteorology, Earth Systems Science, or related field, or M.S. with 5+ years of relevant experience.
- Proficiency in Python and Linux environments.
- Experience with advanced AI/ML techniques, specifically deep learning approaches.
- Strong foundation in meteorological datasets and/or Earth system science.
- Experience with high-performance supercomputing and/or cloud computing environments.
- Strong analytical skills and experience with very large datasets.
- Proficiency in technical writing through publications and reports.
- Outstanding oral presentation skills.
Benefits
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- Work-life balance options
