Research Scientist

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 systems

What We’re Looking For

Strong foundation in machine learning, deep learning, or a related technical field

Track record of driving ML research or novel modeling work from idea to validated results

Experience working on ambiguous research problems with limited prior art

Hands-on experience with PyTorch or similar frameworks

Ability to operate independently in high-ambiguity environments with minimal guidance

Strong technical judgment — you can identify meaningful problems, design appropriate approaches, and evaluate results rigorously

Comfort working in a fast-moving, early-stage environment

Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)

Nice to Have

Publications at top-tier ML venues (e.g., NeurIPS, ICML, ICLR)

Experience with LLMs, NLP, or sequence modeling

Experience with reinforcement learning or alignment methods

Experience working with longitudinal or structured data at scale

Experience working with clinical, biomedical, or scientific domains

Why Join Latent

Backed by top-tier investors including General Catalyst, Conviction, and Y Combinator

Work alongside a high-caliber team building products our healthcare partners love

Work on mission-critical problems at the intersection of AI and healthcare

Real ownership and visibility

High-impact role on a small, fast-growing team

Benefits

Competitive compensation, including meaningful equity

Medical, dental, and vision insurance for employee and dependents

Flexible PTO policy

Paid parental leave

Fertility and family-building stipend through Carrot