Senior ML Engineer Jobs in San Francisco, CA
Senior ML Engineer jobs in San Francisco are in high demand, concentrated in SoMa, Mission Bay, and the Financial District across AI infrastructure, enterprise software, and biotech. Employers hiring right now include Uber, DoorDash, and Pinterest. See the openings below and apply to the ones that match your experience.
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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 Senior ML Engineer JobsSenior ML Engineer Job Market in San Francisco
Who's Hiring
- Uber52

- DoorDash39

- Pinterest39

- Lila Sciences30

- Anthropic22

Top Industries Hiring
- Technology & Software139
- Artificial Intelligence22
- Biotechnology & Pharmaceuticals22
- Science & Research17
- Banking & Financial Services13
Senior ML Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a senior ml engineer job in San Francisco?
San Francisco's senior ML engineer market centers on AI-native startups in SoMa, large tech platforms headquartered in the city, and biotech firms in Mission Bay. Candidates who stand out have production-level experience with large-scale model deployment, a public portfolio of applied ML work, and fluency with the MLOps tooling those sectors use. Networking through local ML meetups and research seminars also gives you a concrete edge over remote applicants.
Which companies hire senior ml engineers in San Francisco?
Employers hiring senior ml engineers in San Francisco right now include Uber, DoorDash, and Pinterest, based on current listings on Migrate Mate as of November 2026. The local market mixes AI-focused startups, established enterprise software companies, and research-driven biotech firms, all of which maintain dedicated ML engineering teams in the city.
Are there remote senior ml engineer jobs in San Francisco?
Yes, though availability depends on the role. Senior ML engineers working on model research, data pipelines, and evaluation frameworks tend to work remotely more often than those supporting on-premise infrastructure or hardware-adjacent teams. About 70% of senior ml engineer openings tied to San Francisco are remote or hybrid as of November 2026, with the highest share coming from enterprise software and AI platform companies headquartered here.
How can I get a senior ml engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is moving into a junior ML engineer or ML platform engineer role at one of the city's many mid-stage AI startups, which tend to have faster promotion tracks than large tech companies. Contributing to open-source ML projects, completing applied capstone work through local university programs such as UC Berkeley or UCSF data science initiatives, and attending Bay Area ML research events all help you build the portfolio and local connections that San Francisco employers expect before considering a promotion to the senior level.
Which industries hire the most senior ml engineers in San Francisco?
San Francisco senior ml engineer roles concentrate in Technology & Software, Artificial Intelligence, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. San Francisco's density of AI-native companies, enterprise cloud platforms, and research-oriented biotech firms creates sustained demand for ML talent well beyond what most other U.S. cities generate.
Related Jobs in California
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