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583
Open Roles
$195K–$262K
Median Salary
$312K+
Top 10% Pay
6%
Remote-Friendly

About Data & ML Jobs in San Francisco roles

San Francisco remains the undisputed global epicenter for Data and Machine Learning professionals, driven by an unparalleled density of frontier AI labs, established tech giants, and well-funded startups pushing the boundaries of generative models and predictive analytics. The local ecosystem offers highly competitive compensation packages that consistently outpace other major tech hubs, reflecting the fierce competition for specialized talent in deep learning, natural language processing, and scalable data infrastructure. Notable players like OpenAI, Anthropic, and Scale AI, alongside a vibrant community of early-stage ventures, are actively recruiting top-tier engineers and researchers, fostering a dynamic culture where cutting-edge innovation, substantial equity upside, and frequent in-person collaboration are the norm.

Hiring demand for Data and ML roles in San Francisco is experiencing explosive growth, significantly outpacing last year's figures as companies rush to integrate generative AI capabilities into their core products. Early to growth-stage startups are currently driving the highest volume of new openings, particularly seeking full-stack ML engineers who can efficiently bridge the gap between model development and production deployment.

Data & ML Jobs in San Francisco salary overview

The median salary range across these 583 positions is $195K–$262K. Top earners make $312K+.

Latest openings

Forward Deployed Machine Learning Engineer
Black Forest Labs · San Francisco, CA
$180K–$270K
Engineering Manager, Data Platform
Chime Financial · San Francisco, CA
Research Scientist
Genmo · San Francisco, CA
IT Business & Data Analyst
Pax Labs · San Francisco, CA
$95K–$125K
Business Data Analyst
Zipline International · South San Francisco, CA
$110K–$135K
Senior ML/AI Engineer
Beast Industries · San Francisco, CA
Forward Deployed AI Engineer, West
Arize Ai · San Francisco, CA
$125K–$175K
$220K–$275K
Analytics Engineer, Safety Systems
Openai · San Francisco, CA
$210K–$260K
Forward Deployed AI Engineer, Aviation Regulatory
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Expansion
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Community Engagement
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Land Use and Government Affairs
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Launch, Design, and Construction Handoff
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Legal Real Estate
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Operations
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, People
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Real Estate and Development
Zipline International · South San Francisco, CA
$112K–$300K
Forward Deployed AI Engineer, Site Acquisition
Zipline International · South San Francisco, CA
$112K–$300K
Senior Staff Machine Learning Engineer
Doordash · San Francisco, CA
$242K–$357K
$242K–$357K
$137K–$201K
Staff Machine Learning Engineer - DashPass
Doordash · San Francisco, CA
$137K–$201K
Senior Applied AI Engineer - Multimodal Transformers
Kodiak Robotics · San Francisco, CA
$200K–$260K
Staff Machine Learning Engineer - Deployment
Kodiak Robotics · San Francisco, CA
$200K–$265K
Staff AI Engineer
Amplitude · San Francisco, CA
$227K–$341K
Senior Manager, Ads & Promotions Analytics
Doordash · San Francisco, CA
$219K–$323K
Manager, Data Science
Doordash · San Francisco, CA
$184K–$271K
Senior/Staff Data Scientist, EPD
Ziphq · San Francisco, CA
$180K–$220K
Lead Data Scientist
Doordash · San Francisco, CA
$219K–$323K
View all 583 roles →

Frequently asked questions

What is the typical salary range for Data and ML engineers at San Francisco startups versus big tech companies?
At San Francisco startups, Data and ML engineers typically see base salaries ranging from $160,000 to $220,000 with significant equity potential, whereas established big tech companies in the Bay Area often offer base salaries between $180,000 and $250,000, complemented by substantial liquid RSUs and signing bonuses.
Are there remote-friendly Data and ML roles based in San Francisco?
While many traditional tech companies offer remote or hybrid flexibility, the current wave of frontier AI and ML startups in San Francisco heavily favors in-office or hybrid models (typically 3-4 days on-site) to foster rapid collaboration and tight-knit research environments.
Which San Francisco startups are currently hiring the most for machine learning and data science positions?
High-growth AI startups such as Anthropic, OpenAI, and Scale AI, along with enterprise data platforms like Databricks, are among the most active recruiters for ML researchers, data scientists, and AI infrastructure engineers in the San Francisco market.

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