Latent
Research Scientist
San Francisco · Staff+
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About the role
- 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.
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
- 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
Requirements
- 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
- Comfort working in a fast-moving, early-stage environment
Nice to have
- Publications at top-tier ML venues (e.g., NeurIPS, ICML, ICLR)
- Experience with LLMs, NLP, or sequence modeling
- Experience working with longitudinal or structured data at scale
- Experience working with clinical, biomedical, or scientific domains
- Backed by top-tier investors including General Catalyst, Conviction, and Y Combinator
- Real ownership and visibility
- High-impact role on a small, fast-growing team
Compensation
- Competitive compensation, including meaningful equity
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
- Work on verifiable reinforcement learning, mid-training, and post-training of foundation models
- Strong foundation in machine learning, deep learning, or a related technical field
- 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.
Company info
- 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.
This listing is sourced directly from Latent's careers page and normalized into a canonical job model.