Machine Learning Manager Jobs in San Francisco, CA
Machine Learning Manager jobs in San Francisco are in high demand, concentrated in SoMa, the Financial District, and Mission Bay across AI, enterprise software, fintech, and biotech. Employers hiring right now include DoorDash, Pinterest, and Uber. Find a role that fits below and apply directly.
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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 Manager JobsMachine Learning Manager Job Market in San Francisco
Who's Hiring
- Pinterest75

- DoorDash63

- Uber40

- Genentech29

Top Industries Hiring
- Technology & Software219
- Science & Research35
- Artificial Intelligence29
- Banking & Financial Services23
- Biotechnology & Pharmaceuticals23
Machine Learning Manager Jobs in San Francisco: Frequently Asked Questions
How do I get a machine learning manager job in San Francisco?
Focus your search on San Francisco's dense AI and enterprise software corridor in SoMa and Mission Bay, where most openings are. Candidates who stand out here combine hands-on ML engineering depth with demonstrated team leadership and cross-functional collaboration with product and data science. Experience shipping production ML systems at scale carries significant weight, and a portfolio of measurable business outcomes matters more than credentials alone in this market.
Which companies hire machine learning managers in San Francisco?
Companies currently hiring machine learning managers in San Francisco include DoorDash, Pinterest, and Uber, per current listings on Migrate Mate as of September 2026. San Francisco attracts a mix of large tech platforms, high-growth AI startups, and established fintech and healthcare firms, all competing for experienced ML leadership.
Are there remote machine learning manager jobs in San Francisco?
Yes, though most machine learning manager roles require some in-person presence given the team oversight and cross-functional coordination involved. About 66% of machine learning manager openings tied to San Francisco are remote or hybrid as of September 2026, with hybrid arrangements most common among larger tech employers in SoMa and the Financial District. Strategic and planning responsibilities tend to be the most remote-friendly parts of the role.
How can I get a machine learning manager job in San Francisco with little or no experience?
The most realistic entry path is moving up from a senior ML engineer or lead data scientist role at one of San Francisco's many AI-focused startups or mid-size tech companies, where team structures are flatter and management responsibility comes earlier. Companies in Mission Bay's biotech cluster and SoMa's startup ecosystem frequently promote individual contributors into manager roles. Building a record of mentoring junior engineers and owning end-to-end ML projects strengthens that transition locally.
Which industries hire the most machine learning managers in San Francisco?
San Francisco machine learning manager roles concentrate in Technology & Software, Science & Research, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. San Francisco's position as a global hub for AI research, enterprise software, and fintech means these sectors drive sustained, year-round demand for ML leadership rather than cyclical hiring spikes.
Related Jobs in California
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