Machine Learning Jobs in San Francisco, CA
Machine learning jobs in San Francisco concentrate in AI research, fintech, healthcare tech, and enterprise software, with the heaviest hiring in SoMa, Mission Bay, and the Financial District. Employers posting roles right now include DoorDash, Lila Sciences, and Uber. Scan the live roles below and apply to whichever ones fit.
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Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We build products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed systems and AI-powered optimizations to scale products for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by scalable distributed systems and advanced AI solutions. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Architecting and launching products to power key consumer experience and business outcomes.
- Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
- Proficiency in at least one programming language such as Python, Go, or Java
- Experience in building and productionizing innovative end-to-end ML systems.
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Track record of designing and delivering large-scale consumer products
- Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. Proven experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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Find Machine Learning JobsMachine Learning Job Market in San Francisco
Who's Hiring
- DoorDash72

- Lila Sciences65

- Uber52

- Pinterest46

- OpenAI39

Top Industries Hiring
- Technology & Software248
- Science & Research52
- Electronics & Hardware39
- Banking & Financial Services39
- Biotechnology & Pharmaceuticals33
Machine Learning Jobs in San Francisco: Frequently Asked Questions
How do I get a machine learning job in San Francisco?
The strongest path into San Francisco's machine learning market is through its AI-first tech companies, early-stage startups in SoMa and Mission Bay, and the large fintech and healthcare tech firms anchored downtown. Candidates with hands-on experience in model deployment, MLOps, or applied NLP stand out locally. Contributing to open-source projects and building a visible portfolio on GitHub helps significantly in a market where hiring teams move fast and technical screens come early.
Which companies hire machine learnings in San Francisco?
San Francisco machine learning roles are posted by DoorDash, Lila Sciences, and Uber and others right now, based on current listings on Migrate Mate as of September 2026. The local market is a mix of established tech giants with dedicated AI divisions, fast-growing startups building foundation models, and financial services firms investing heavily in ML infrastructure.
Are there remote machine learning jobs in San Francisco?
Yes, though it depends on the role: research and data-focused positions tend to be more remote-friendly, while MLOps and on-site infrastructure roles typically require in-person work. About 66% of machine learning openings tied to San Francisco are remote or hybrid as of September 2026, reflecting the city's strong hybrid culture. Model experimentation and research work are the functions most commonly offered with location flexibility.
How can I get a machine learning job in San Francisco with little or no experience?
The most realistic entry point in San Francisco is an ML engineer associate or data analyst role at a mid-size startup, where teams are small enough that junior contributors take on meaningful work early. San Francisco's dense startup ecosystem in SoMa and Dogpatch regularly hires candidates who demonstrate project-based learning, Kaggle competition results, or research experience from local universities such as UC San Francisco or San Francisco State. Roles in data labeling, ML quality assurance, and analytics engineering often serve as direct stepping stones.
Which industries hire the most machine learnings in San Francisco?
San Francisco machine learning roles concentrate in Technology & Software, Science & Research, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. San Francisco's position as the hub of foundation model development, combined with its large fintech corridor and growing health tech cluster in Mission Bay, drives sustained demand across all three sectors.
Related Jobs in California
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