Design, build, train, and deploy AI/ML and LLM-based models
Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment
Apply strong understanding of ML and AI fundamentals to real-world biomedical problems
Develop and optimize models using Python and modern ML frameworks
Research emerging techniques and propose innovative solutions aligned with product and business needs
Independently analyze complex, ambiguous problems and determine appropriate modeling approaches
Evaluate and recommend technical solutions and system architectures
Translate research concepts into scalable, production-ready systems
Contribute to long-term ML and AI strategy and technical vision
Lead cross-project research and development initiatives
Provide technical mentorship and guidance to junior researchers and engineers
Establish best practices for experimentation, model development, and deployment
Influence technical roadmaps and architectural decisions

7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering
Graduate degree in Computer Science, Engineering, or a related technical field
Strong hands-on experience building, training, and deploying ML and AI models, including LLMs
Deep understanding of model fundamentals and architecture design
Proven ability to solve problems end-to-end, from research through implementation
Advanced proficiency in Python for model development and training
Experience customizing models rather than relying solely on pre-built solutions
Ability to independently research, evaluate, and propose technical approaches

Senior Staff – Research Scientist

Key skills