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Machine Learning Engineer

latentSan FranciscoEngineering
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Salary
$225K – $300K
Job type
Full-time
Experience
Senior
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

This position suits experienced engineers who want to own production-grade machine learning systems that impact clinical workflows in San Francisco. Latent is hiring a Machine Learning Engineer to build and deploy foundation models and reinforcement learning infrastructure for healthcare operations.

Role Overview

Latent is seeking a Machine Learning Engineer based in San Francisco to design, build, and operate production-grade machine learning systems operating in clinical workflows. The position focuses on shipping reliable systems from ambiguous problem definitions through to production deployment, targeting senior and staff-level professionals who can take full ownership of critical infrastructure.

Key Responsibilities

Own end-to-end machine learning systems covering architecture, data processing, modeling, evaluation, and production infrastructure.
Train and fine-tune large language models for clinical reasoning, medical question answering, and evidence-grounded generation.
Balance performance tradeoffs involving accuracy, latency, cost, and safety in high-stakes production environments.
Build evaluation frameworks to verify model safety and clinical validity.
Integrate machine learning systems into product workflows and patient-facing applications.
Monitor production system performance and iterate based on real-world feedback.
Collaborate with engineers and clinicians to define correctness metrics for complex clinical workflows.

Requirements

Strong foundation in machine learning and software engineering.
Proven track record of building and owning production machine learning systems where reliability and correctness are critical.
Experience taking ambiguous machine learning problems from inception to production deployment.
Practical experience using PyTorch or comparable frameworks.
Capacity to operate independently in high-ambiguity settings with minimal guidance.
Product and engineering judgment regarding the appropriate application of machine learning.
Experience navigating fast-paced, early-stage environments.
Background working on systems with real-world consequences in domains such as healthcare, finance, or infrastructure.

Nice to Have

Experience deploying large language models in production.
Background building distributed systems or large-scale data pipelines.
Familiarity with clinical, biomedical, or regulated datasets.

Skills and Tools

PyTorch
Large Language Models
Distributed Systems
Data Pipelines

Salary and Benefits

Compensation ranges from $225K to $300K with equity offerings.
Comprehensive medical, dental, and vision insurance for employees and dependents.
Flexible paid time off policy.
Paid parental leave.
Fertility and family-building stipend provided through Carrot.

About the Company

Latent operates an enterprise pharmacy intelligence platform powered by a clinical agentic engine designed to help health systems scale pharmacy operations. The platform assists over 60 leading health systems serving approximately 70 million individuals across the patient pharmacy journey. The organization was founded by Sriram Somasundaram and Rishabh Jain, and has secured financial backing from investors including Transformation Capital, Spark Capital, Conviction, General Catalyst, and Y Combinator.

How to Apply

Interested candidates should submit their application directly through the official company careers page.

Skills and tech stack

Questions candidates ask

What is the location of the Machine Learning Engineer role?

The position is located in San Francisco.

What is the salary range and compensation structure?

The salary ranges from $225K to $300K and includes equity offerings.

What experience level is Latent targeting for this hire?

The company is primarily hiring for senior and staff-level engineers.

What benefits are provided with this role?

Benefits include medical, dental, and vision insurance for employees and dependents, flexible PTO, paid parental leave, and a fertility and family-building stipend through Carrot.

What technologies and frameworks are required?

Hands-on experience with PyTorch or similar frameworks is required.

Ready to apply?

The application is on the official latent careers page.

Apply on company site