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 Uber, Lila Sciences, and DoorDash. Scan the live roles below and apply to whichever ones fit.
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Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities:As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.
Responsibility
General Responsibilities
These are ongoing or overarching tasks that guide the strategic and collaborative aspects of the role:
Problem Solving: Identify complex challenges and provide creative solutions to advance the capabilities and functionalities of the products.
Collaboration: Work with cross-functional teams, including data scientists and software engineers. Build and maintain sustainable partnerships with team members from various technical backgrounds.
Communication: Communicate technical details effectively to the team and engage in technical discussions to contribute ideas and solutions.
Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to enhance product innovation and effectiveness.
Daily Responsibilities
These tasks are more routine or technical, involving hands-on activities that need to be performed regularly:
Design and Development: Design LLM based methodology and algorithms tailored to specific product needs.
Data Handling: Perform data preprocessing and feature engineering to improve product inputs and performance.
Evaluation: Conduct experiments to evaluate the performance of products and use a variety of metrics and testing methods to ensure the solutions meet design specifications.
Implementation and Optimization: Implement and optimize machine learning pipelines.
Monitoring and Maintenance the deployed intelligence solutions to ensure they continue to perform accurately and efficiently.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges:In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $236,700 - $309,025
Zone B: $213,030 - $278,123
Zone C: $196,461 - $256,491
Qualifications:Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
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Find Machine Learning JobsMachine Learning Job Market in San Francisco
Who's Hiring
- Uber52

- Lila Sciences48

- DoorDash44

- Pinterest39

- OpenAI30

Top Industries Hiring
- Technology & Software170
- Biotechnology & Pharmaceuticals35
- Science & Research30
- Artificial Intelligence26
- Banking & Financial Services22
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 Uber, Lila Sciences, and DoorDash and others right now, based on current listings on Migrate Mate as of November 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 68% of machine learning openings tied to San Francisco are remote or hybrid as of November 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, Biotechnology & Pharmaceuticals, and Science & Research, based on current listings on Migrate Mate as of November 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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