Staff Machine Learning Engineer

Sprinter Health
San Francisco, California, United StatesFull-time$220,000–$270,000Posted Aug 31, 2026

About the role

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title

Staff Machine Learning Engineer

Salary

$220K – $270K + Equity

Company Description

Sprinter Health is a $125M venture-backed healthcare technology company reimagining how people access care by bringing it directly to their homes. Backed by top-tier investors including a16z, General Catalyst, GV, and Accel, they have already supported over 2 million patients across 22 states while maintaining an exceptional 92 NPS.

Job Description

As the first dedicated ML Engineering hire, you will build the production systems that train, deploy, and monitor machine learning models company-wide. You’ll define Sprinter Health's MLOps blueprint—from inference pipelines to model governance—transforming research prototypes into reliable, scalable systems that directly improve patient outcomes and optimize complex last-mile clinical operations.

Location

San Francisco, USA

Why this role is remarkable

Join as the first-of-function ML engineer, making foundational "build vs. buy" decisions and setting the technical architecture for all future hires.

Work for a mission-driven company with $125M in funding, multi-year runway, and a proven track record of serving over 2 million patients.

Enjoy a high-collaboration culture with daily team lunches, hybrid flexibility, and comprehensive benefits including 100% employer-paid healthcare premiums for you and dependents.

What You Will Do

Build and lead the ML engineering function, designing the foundational infrastructure for model training, real-time serving, and feature pipelines.

Implement robust monitoring and observability systems to detect drift, data quality issues, and performance regressions before they impact clinical operations.

Partner with product and applied science teams to package models into reliable APIs and batch jobs that power Sprinter Health’s core marketplace.

The ideal candidate

Brings 8+ years of experience in production software and ML systems, with a track record of scaling infrastructure from the ground up.

Possesses deep expertise in cloud infrastructure, containerization, and MLOps paradigms across training, serving, and model governance.

Thrives in ambiguous startup environments, balancing architectural longevity with the need for speed and simplicity in a high-growth setting.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

Jack's an AI agent for job searching and career coaching. He works for you.

Jill is the AI recruiter working for the company. She recruits from Jack's network.

If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

  • Build and lead the ML engineering function, designing the foundational infrastructure for model training, real-time serving, and feature pipelines.
  • Implement robust monitoring and observability systems to detect drift, data quality issues, and performance regressions before they impact clinical operations.
  • Partner with product and applied science teams to package models into reliable APIs and batch jobs that power Sprinter Health’s core marketplace.

Qualifications

  • 8+ years of experience in production software and ML systems.
  • Deep expertise in cloud infrastructure, containerization, and MLOps paradigms across training, serving, and model governance.
  • Ability to thrive in ambiguous startup environments.

Benefits

  • 100% employer-paid healthcare premiums for you and dependents.
  • High-collaboration culture with daily team lunches.
  • Hybrid flexibility.

Skills mentioned

MLOpsModel DeploymentModel MonitoringModel ServingCloud ComputingContainerizationKubernetesData PipelinesREST APIsSystem Design

About Sprinter Health

Meet Jack and Jill. Two AI agents that introduce remarkable people to remarkable companies. Jack is an AI agent that finds your next job and helps you land it. Already helping over 230,000 people take the next step in their career. Jill is an AI agent for recruiting. Already helping thousands of companies make their next great hire. Here's where it gets interesting. Jack and Jill work together. Jack knows what professionals are looking for, long before they're ready to move. Jill knows what thousands of companies need, far beyond what's written in the job description. When both sides match, they introduce the candidate and the decision maker directly. No cold outreach. No black hole. Just warm introductions that work.

Technology2-10 employees