We are seeking an AI/ML engineer to develop applications in weather and Earth systems domains from end to end, including dataset procurement, algorithm development and training, and integration of models into operational prototypes. A solid foundation in data science is critical for this role, as is a deep technical knowledge of weather and/or Earth systems science. Experience applying modern machine learning techniques to satellite and radar observations, in situ meteorological measurements, camera, satellite imagery, or numerical weather prediction models is strongly desired. The ideal candidate will be able to think broadly about how modern AI/ML approaches can enhance environmental sensing, forecasting, and decision support capabilities, and be eager to contribute to both real-time operational system development and research-oriented trade studies. Key project opportunities include: - Conceptualizing, developing, testing, and deploying AI/ML algorithms using large-scale environmental datasets and high-performance computing resources - Assessing algorithm performance through rigorous statistical and operational metrics, and documenting results in formal publications - Building novel models and decision-support tools for weather situational awareness - Contributing to NOAA, FAA, and DoW programs aimed at advancing national weather sensing, forecasting, and decision support needs Our team provides both high-level and deeply technical analyses, including trade studies, reports, presentations, and publications (conferences, journals, etc.) for government sponsors. We take pride in serving as independent subject matter experts to the U.S. government and seek individuals who value the responsibility and impact associated with this mission. Requirements - Ph.D. in Meteorology, Earth Systems Science, or related field of study, or M.S. in a related field of study with 5+ years of relevant work experience - Demonstrated 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 demonstrated experience with very large datasets - Demonstrated proficiency in technical writing through journal publications, conference papers, and/or reports - Outstanding oral presentation skills as demonstrated by conference presentations, etc. Recent Graduate Hiring Range: $145,200 - $170,000 Experienced Hiring Range: $145,200 - $220,000 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: - 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 - ... and much more! Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks. Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. Requisition ID: 43418