Machine Learning Scientist (All Levels)
Conducts machine learning research in medical NLP for conversation summarization, evidence extraction, and outcome prediction. Publishes at top AI conferences, deploys models to production, and requires MS/PhD plus strong PyTorch/TensorFlow experience.
About the job
What You'll Do
- Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.
- Actively contribute to the wider research community by sharing and publishing original research
- Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.
- Dial deeply into real-time feedback from clinicians to guide further refinements and innovations
- Be results-oriented in the face of ambiguous problems and uncertain outcomes
What You'll Bring
- Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.
- High-impact publications at peer-reviewed AI conferences (e.g. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H).
- Significant real-world impact, as demonstrated through open source contributions and deployed technology.
- Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
- Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.
Skills
PyTorch, JAX, TensorFlow, Natural Language Processing, Machine Learning, Deep Learning, Multi-Gpu Training, Statistical Analysis, Foundation Models
Similar jobs
AI Research jobs
Mercor
San Francisco, CA
Leads the design, measurement, publication, and adoption of APEX benchmarks evaluating frontier models on economically valuable professional work. The role requires rigorous research judgment, strong coding and statistical skills, and excellent communication across technical, commercial, and research audiences.
Tessera Labs
San Jose, CA
Research Scientist defining and executing research on reliable long-horizon agents in enterprise environments. The role focuses on post-training and reinforcement learning, agent memory, evaluation, verification, and structured representations, combining hands-on experimentation with product delivery and publication.
OpenAI
San Francisco, CA
Conduct rigorous people research and applied data science to evaluate talent programs, organizational health, and employee experiences. The role requires advanced expertise in research design, experimentation, measurement, causal inference, statistical modeling, and responsible handling of sensitive employee data.
Baseten
San Francisco, CA
Build and ship agentic AI product experiences, internal automation, and customer-facing features across the stack. The role requires 5+ years of software engineering experience, hands-on experience with AI or LLM-powered products, Python proficiency, and strong autonomy.
Earnin
Mountain View, CA
Build agent-driven chatbots and generative AI workflows for financial-wellness products, owning features from design through impact measurement. The role requires at least three years of software engineering experience, strong system design, maintainable coding practices, and a bachelor’s degree or equivalent experience.