Machine Learning Manager Visa Sponsorship Jobs in California
California is the top state for machine learning manager visa sponsorship, driven by major tech employers like Google, Meta, Apple, and Amazon across the San Francisco Bay Area, Los Angeles, and San Diego. These roles sit at the intersection of research and engineering leadership, making them strong candidates for H-1B visa and EB-2 sponsorship.
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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:
- Design, develop, and train cutting-edge world class machine learning models (including NER, personalization, prediction, and LLM fine-tuning) to power Atlassian products.
- Ship production-ready ML systems by collaborating with engineering, product, and analytics teams to integrate AI features into Atlassian services as well as performing machine learning model optimization techniques and writing production quality code.
- Conduct experimentation and model evaluation, ensuring performance, scalability, and reliability of deployed models.
- Define and monitor product metrics, using data analysis to guide improvements and measure impact.
- Contribute to Atlassian's next-gen AI initiatives, including foundational model development and researching and advancing the state of ML techniques to land new unique features for Atlassian's AI offerings.
- Communicate findings and recommendations to senior leaders through clear presentations and insights.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary: $276,200/yr.
Compensation:
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.
MINIMUM REQUIREMENTS:
Master's degree or foreign equivalent degree in Computer Science, Electrical Engineering, or a related field of study, and three (3) years of related work experience.
Must have three (3) years of experience with/in:
- Spark and Cloud data environments (AWS, Databricks, or Azure)
- Building and scaling machine learning models using large amounts of data
- Utilizing Python or Java to write performant production-quality code
- Anomaly detection for dataset analysis for the purpose of training, validating, and shipping machine learning models
- Agile development practices
- SQL
- BI tooling using Tableau, Excel, Power BI, or Looker
100% Telecommuting is permitted.
Please email resume to: postings@atlassian.com and must reference Job code: "CA013" to be considered.
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.
Overview:
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:
- Design, develop, and train cutting-edge world class machine learning models (including NER, personalization, prediction, and LLM fine-tuning) to power Atlassian products.
- Ship production-ready ML systems by collaborating with engineering, product, and analytics teams to integrate AI features into Atlassian services as well as performing machine learning model optimization techniques and writing production quality code.
- Conduct experimentation and model evaluation, ensuring performance, scalability, and reliability of deployed models.
- Define and monitor product metrics, using data analysis to guide improvements and measure impact.
- Contribute to Atlassian's next-gen AI initiatives, including foundational model development and researching and advancing the state of ML techniques to land new unique features for Atlassian's AI offerings.
- Communicate findings and recommendations to senior leaders through clear presentations and insights.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary: $276,200/yr.
Compensation:
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.
MINIMUM REQUIREMENTS:
Master's degree or foreign equivalent degree in Computer Science, Electrical Engineering, or a related field of study, and three (3) years of related work experience.
Must have three (3) years of experience with/in:
- Spark and Cloud data environments (AWS, Databricks, or Azure)
- Building and scaling machine learning models using large amounts of data
- Utilizing Python or Java to write performant production-quality code
- Anomaly detection for dataset analysis for the purpose of training, validating, and shipping machine learning models
- Agile development practices
- SQL
- BI tooling using Tableau, Excel, Power BI, or Looker
100% Telecommuting is permitted.
Please email resume to: postings@atlassian.com and must reference Job code: "CA013" to be considered.
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.
Machine Learning Manager Job Roles in California
See all 1,297+ Machine Learning Manager Jobs in California
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Search Machine Learning Manager Jobs in CaliforniaMachine Learning Manager Jobs in California: Frequently Asked Questions
Which companies sponsor visas for machine learning managers in California?
The most active sponsors for machine learning manager roles in California include Google, Meta, Apple, Amazon, Microsoft, Salesforce, Adobe, and NVIDIA. Biotech and fintech employers such as Gilead Sciences and Stripe also sponsor these roles. DOL Labor Condition Application disclosure data consistently shows these companies filing for senior ML and AI management positions at scale across California offices.
Which visa types are most common for machine learning manager roles in California?
The H-1B is the most common visa for machine learning managers in California, as the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates with exceptional research records may qualify for the O-1A. Those pursuing permanent residence often transition through EB-2 NIW or employer-sponsored EB-2 or EB-3 PERM pathways.
Which cities in California have the most machine learning manager sponsorship jobs?
The San Francisco Bay Area accounts for the largest share of machine learning manager sponsorship jobs in California, concentrated in San Francisco, Mountain View, Menlo Park, Sunnyvale, and Cupertino. Los Angeles is a secondary hub, with growth in AI-focused companies and entertainment technology. San Diego has a smaller but active cluster tied to biotech and defense technology employers sponsoring ML leadership roles.
How to find machine learning manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically to roles offering visa sponsorship, so you can search machine learning manager positions in California without sifting through employers unlikely to sponsor. The platform is built for international candidates, covering H-1B and other common work visa categories. Filtering by state and role on Migrate Mate narrows results to California employers actively seeking sponsored ML managers.
Are there state-specific considerations for machine learning managers seeking visa sponsorship in California?
California's prevailing wage requirements under DOL guidelines are among the highest in the country, reflecting the Bay Area and Los Angeles cost of living. Employers filing H-1B Labor Condition Applications for machine learning manager roles in California must attest to wages meeting or exceeding the prevailing wage for the specific metropolitan area. California's strong university pipeline from Stanford, UC Berkeley, and UCLA also means significant competition for sponsored roles.
What is the prevailing wage for sponsored machine learning manager jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.