Research Scientist

# Research Scientist Latent San  Francisco Full-time $225,000 – $300,000 / yearAI tools:

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You’ll lead research on modeling approaches that help clinical AI learn from longitudinal patient data, from formulating research questions through validation. The work covers foundation-model training, reinforcement learning, and rigorous evaluation, with findings intended to inform deployable systems and real clinical workflows.
* Permanent* On-site
* Senior / Staff### Skills and expertise

PyTorch deep learning reinforcement learning foundation models longitudinal patient datamodel evaluationNLPsequence modeling### Key responsibilities
* Lead research initiatives from problem formulation and experimental design through modeling and evaluation.
* Develop architectures, training methods, and objectives using longitudinal patient data.
* Design evaluations of model reasoning, correctness, and clinical relevance.## How this job compares

Compared with 65 open senior research jobs on October 10, 2026.Pay:
This job pays $225K to $300K a year. The 27 open senior research jobs that publish US pay start at $170K on average, so this job starts about 32% higher.

Similar open jobs:
We Love AI Jobs lists 65 open senior research jobs at 33 companies.

Remote work:
This job is on site. 15 of the 65 senior research jobs (23%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. The role centers on developing and evaluating new machine-learning approaches, including reinforcement learning and foundation-model training. Research findings are intended to shape clinical AI systems used in practice.## Full description

About Latent Latent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients. One engine works across the pharmacy journey to identify patients who qualify for care, improve medication access, capture eligible prescriptions and support patients throughout treatment. Latent’s platform enables more than 60 leading health systems that collectively serve an estimated 70 million people.

Founded by Sriram “Sri” Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.

The Role As a Machine Learning Engineer, Research, you will own the design and development of novel modeling approaches that advance state-of-the-art clinical intelligence.

You will drive research from ambiguous problem definition through to validated results and downstream impact, shaping the technical direction of how models learn from longitudinal patient data.

We are primarily hiring for senior and staff-level engineers who are comfortable owning critical research problems end-to-end.

This role involves working on problems that directly impact real patient outcomes.

What You’ll Do
• 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
• Collaborate with clinicians and engineers to define meaningful problem formulations grounded in real-world workflows
• Partner with ML engineers to ensure research translates into deployable…