Tech Stack
Responsibilities
- Own research initiatives end-to-end, including problem formulation, experimental design, modeling, and evaluation.
- Develop novel architectures, training methods, and objectives leveraging longitudinal patient data.
- Work on verifiable reinforcement learning, mid-training, and post-training of foundation models.
- Design rigorous evaluation methodologies to assess model reasoning, correctness, and clinical relevance.
- Make and own tradeoffs between model capability, interpretability, and verifiability in high-stakes settings.
Benefits
- Equity
- Health Insurance
Culture
Cross-Functional TeamsCustomer-ObsessedImpact-OrientedStartup Energy
Requirements
Preferred: Publications at top-tier ML venues (e.g., NeurIPS, ICML, ICLR)
Regions: Us
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About latent
Industry: healthtech
Size: startup
Latent Health is building systems that understand both clinical knowledge at scale and longitudinal patient history to provide personalized healthcare with patient-specific context and verifiable reasoning. They focus on leveraging a clinically diverse patient dataset for their machine learning models.
View company profile →Compensation
Base salary: $225,000 USD
Equity: Meaningful equity in an early-stage, Series A company