Latent Health
Research Scientist
$225K–$300K
San Francisco · On-site · Full-time · Posted Sep 29, 2026
About the job
Own research and develop novel machine-learning models for clinical intelligence, from problem formulation and evaluation through deployment in healthcare workflows.
What you'll do
- Lead research initiatives, including experimental design, modeling, and evaluation.
- Develop architectures, training methods, and objectives using longitudinal patient data; work on reinforcement learning and foundation-model training.
- Design rigorous evaluations and collaborate with clinicians and engineers to translate research into deployable systems.
What they ask for
- Strong foundation in machine learning, deep learning, or a related technical field.
- Track record of driving ML research or novel modeling from idea to validated results.
- Hands-on experience with PyTorch or similar frameworks.
- Experience with ambiguous research problems and systems with real-world consequences.
Nice to have
- Publications at top-tier ML venues such as NeurIPS, ICML, or ICLR.
- Experience with LLMs, NLP, sequence modeling, reinforcement learning, longitudinal data, or clinical, biomedical, or scientific domains.
Pay
$225K – $300K USD base salary
Tools
PyTorch
AI focus
Research and develop clinical intelligence models, including verifiable reinforcement learning and mid-training and post-training of foundation models; evaluate reasoning, correctness, interpretability, verifiability, and clinical relevance.
Model-written summary · the original posting is authoritative