Machine Learning Engineer jobs in San Francisco at marketplace startups
Browse active Machine Learning Engineer roles at marketplace startups in San Francisco — updated in real time and AI-summarized. Apply directly.
Machine Learning Engineer, Fulfillment
Develop machine learning solutions to optimize transportation platforms and fulfillment operations.
Staff Machine Learning Engineer, Assistance Engineering
Build machine learning models to enhance user experiences and assistance systems at scale.
Staff Machine Learning Engineer - Retention
Build and optimize machine learning models to improve user retention on a service marketplace platform.
Machine Learning Engineer, Frontier Data Products
Build and refine machine learning models for high-impact AI data products.
Senior Machine Learning Engineer
Build ML models for pricing, matching, and demand across the Uber Freight marketplace.
Staff Machine Learning Engineer
Build and scale ML models powering Shipt's marketplace.
Senior Machine Learning Engineer, Recommendations
Builds and maintains software systems at Lyft's facility in San Francisco, CA.
Staff Machine Learning Engineer - Ranking System
Ship production ML systems that power matching and recommendations at TaskRabbit.
Staff Machine Learning Engineer
Build ML models — pricing, matching, demand — powering the Uber Freight marketplace at an early-stage, high-growth moment.
Machine Learning Engineer jobs in other locations
Other roles in San Francisco
Frequently asked questions
What are Machine Learning Engineer in San Francisco jobs at marketplace startups like?
Machine Learning Engineer in San Francisco jobs at marketplace startups sit at the intersection of platform building and two-sided market dynamics. Teams focus on balancing supply and demand, trust and safety, payments and payouts, and the rapid scaling that marketplaces require. Day-to-day work spans product, infrastructure, growth, and operations depending on the role.
How much do Machine Learning Engineer in San Francisco jobs pay at marketplace startups?
Compensation varies widely by funding stage, location, seniority, and equity. Early-stage marketplace startups (pre-seed to Series A) often offer lower cash but meaningful equity; later-stage and public marketplaces tend to pay closer to top-of-market cash. Listings on Marketplace Jobs include a salary range when the company shares it.
Are there remote Machine Learning Engineer in San Francisco jobs at marketplace startups?
Yes. A large share of marketplace startups hire remotely or in hybrid setups, especially for engineering, AI/ML, product, and growth roles. Use the Remote and Hybrid filters on Marketplace Jobs to narrow your search.
Which marketplace startups are hiring for Machine Learning Engineer in San Francisco roles?
Marketplace Jobs syncs live job feeds directly from each company's applicant tracking system (ATS), so the companies and roles shown here are currently open. Browse the Companies page to see which marketplace startups are actively hiring.
How do I apply to Machine Learning Engineer in San Francisco jobs on Marketplace Jobs?
Every listing links directly to the company's own application page — we don't host applications. Click Apply on any job to open the company's ATS in a new tab and submit your application there.
Is Marketplace Jobs affiliated with the companies listed?
No. Marketplace Jobs is an independent job board that aggregates postings from publicly available applicant tracking systems (such as Greenhouse, Lever, and Ashby). We pull these listings automatically and do not have a direct partnership or integration with the companies shown. We are not affiliated with, endorsed by, or sponsored by any of them, and all trademarks and job postings belong to their respective owners.