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 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 Machine Learning Manager JobsMachine Learning Manager Job Market in San Francisco
Who's Hiring
- Uber52

- DoorDash39

- Pinterest39

- Anthropic22

- Genentech22

Top Industries Hiring
- Technology & Software129
- Artificial Intelligence22
- Science & Research17
- Banking & Financial Services17
- Social Media9
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 Uber, DoorDash, and Pinterest, per current listings on Migrate Mate as of November 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 69% of machine learning manager openings tied to San Francisco are remote or hybrid as of November 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, Artificial Intelligence, and Science & Research, based on current listings on Migrate Mate as of November 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.
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