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Key job responsibilities
- Lead and execute complex, ambiguous research projects from ideation to production deployment
- Drive technical strategy and roadmap decisions for ML/AI initiatives
- Establish best practices for ML experimentation, evaluation, and deployment
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Demonstrated work on innovative R&D projects, particularly in early-stage development with measurable business impact
- Hands-on experience with both Foundation Models/LLMs and traditional ML approaches
- ML-Ops and scaled deployment experience in production environments
- Experience using Unix/Linux
- Experience in professional software development
- Publications at top-tier peer-reviewed conferences or journals, or equivalent patents
- Experience with autonomous AI frameworks (e.g. Dreamer, PlaNet, JEPA, NVIDIA Cosmos)
- Knowledge of decentralized optimization methods (e.g. swarm intelligence) Familiarity with advanced optimization and control methods (multi-objective optimization, constrained optimization, discrete optimization, model-based optimization, stochastic optimization, distributed control).
- Experience developing and maintaining digital twins
- Experience with multiscale geospatial modeling and forecasting
- Experience leading cross-functional initiatives and influencing technical direction
- Track record of translating research into production systems at scale
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