ML Engineer Jobs in San Francisco, CA
ML Engineer jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, with strong demand across AI, enterprise software, and biotech. Employers actively hiring right now include Uber, DoorDash, and Pinterest. Find a role that fits below and apply directly.
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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 ML Engineer JobsML Engineer Job Market in San Francisco
Who's Hiring
- Uber48

- DoorDash43

- Pinterest39

- OpenAI30

- Anthropic30

Top Industries Hiring
- Technology & Software161
- Science & Research30
- Artificial Intelligence26
- Banking & Financial Services22
- Electronics & Hardware13
ML Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a ml engineer job in San Francisco?
Focus your search on San Francisco's AI-first startups in SoMa and Mission Bay, enterprise software companies in the Financial District, and biotech firms clustered near UCSF's Mission Bay campus. Deep experience with large language models, MLOps pipelines, and production model deployment gives candidates a clear edge here. Demonstrating work on real-world systems at scale matters more in this market than credentials alone.
Which companies hire ml engineers in San Francisco?
San Francisco ml engineer roles are posted by Uber, DoorDash, and Pinterest and others right now, based on current listings on Migrate Mate as of November 2026. The city's employer base skews heavily toward venture-backed AI startups, large tech platforms, and research-driven biotech companies, many of which maintain engineering headquarters in SoMa and Mission Bay rather than the broader Bay Area.
Are there remote ml engineer jobs in San Francisco?
Yes, ml engineering is one of the more remote-friendly technical roles since most of the work involves model development, experimentation, and code review rather than on-site hardware. About 68% of ml engineer openings tied to San Francisco are remote or hybrid as of November 2026, with research-oriented and MLOps roles most likely to offer full flexibility. Production deployment and on-call responsibilities often require some in-person presence.
How can I get a ml engineer job in San Francisco with little or no experience?
The most realistic entry path is through a junior ML or data engineer role at a mid-stage San Francisco startup, where teams are small enough that early-career contributors can take on model work quickly. Open-source contributions, Kaggle competition results, and personal projects deployed on real infrastructure are what San Francisco hiring managers look for at the entry level. Biotech and fintech firms in the city also hire ML associates who grow into full engineering roles.
Which industries hire the most ml engineers in San Francisco?
The sectors hiring the most ml engineers in San Francisco are Technology & Software, Science & Research, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. San Francisco's density of AI-native companies, large consumer tech platforms, and UCSF-adjacent biotech makes it one of the few cities where multiple industries compete simultaneously for the same ml engineering talent.
Related Jobs in California
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