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Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
- Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
- Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
- Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
- Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
Requirements
What you’ll need- Master’s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
- Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models.
- Experience in Python, R, and modern ML libraries.
- Experience with GenAI, LLMs, and transformer architectures.
- Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Relocation assistance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI modelsnatural language understandingmachine learningmodel evaluationPythonRGenAILLMstransformer architecturesAI pipelines
Soft Skills
mentoringcode reviewsresearch guidancetechnical workshops
Certifications
Master’s in Computer SciencePhD in Computer Science