Principal Machine Learning Engineer Visa Sponsorship Jobs in California
Principal machine learning engineer visa sponsorship jobs in California are concentrated at large tech employers including Google, Meta, Apple, Amazon, and Salesforce, with major hiring hubs in the Bay Area, Los Angeles, and San Diego. These senior-level roles require deep expertise in ML systems at scale, and many California employers have established sponsorship programs for H-1B visa and other work visas.
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INTRODUCTION
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.
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: Monitor and maintain the deployed intelligence solutions to ensure they continue to perform accurately and efficiently.
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.
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.
Principal Machine Learning Engineer Job Roles in California
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Search Principal Machine Learning Engineer Jobs in CaliforniaPrincipal Machine Learning Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for principal machine learning engineers in California?
Large technology companies account for most sponsorship activity for principal machine learning engineers in California. Google, Meta, Apple, Amazon, Microsoft, Salesforce, Adobe, and NVIDIA all have documented histories of sponsoring H-1B and employment-based green card petitions for senior ML engineering roles. Mid-size AI-focused companies such as Databricks, Scale AI, and Waymo also actively sponsor at the principal level.
What visa types are available for principal machine learning engineers in California?
Principal machine learning engineer roles qualify as specialty occupations, so H-1B is the primary path for most international candidates. H-1B1 visa is available to Chilean and Singaporean nationals. E-3 visa covers Australian nationals. Canadian and Mexican citizens may qualify under TN visa as engineers, provided they hold a qualifying engineering or computer science degree. F-1 students may use OPT or STEM OPT while transitioning. EB-2 and EB-3 employment-based green cards are common long-term paths at this seniority level.
How to find principal machine learning engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for this search, listing California employers with verified visa sponsorship histories for roles including principal machine learning engineer. Because the role is senior and technical, filtering by employers with active H-1B or LCA filing records saves significant time. Migrate Mate surfaces that filing history by employer and role, so you can identify which California companies actively sponsor at the principal level rather than relying on job postings alone.
Which cities in California have the most principal machine learning engineer sponsorship jobs?
The San Francisco Bay Area, encompassing San Francisco, San Jose, Mountain View, Sunnyvale, and Palo Alto, accounts for the highest concentration of principal ML engineer sponsorship activity in California. Los Angeles is a growing secondary hub, driven by entertainment technology, autonomous vehicles, and health tech. San Diego has a notable cluster tied to defense technology and biotech firms. Remote roles headquartered in California also count toward the state's sponsorship totals.
Are there California-specific considerations for principal machine learning engineer sponsorship?
California's large public research university network, including UC Berkeley, Stanford, UCLA, and UCSD, generates a significant pipeline of PhD and master's-level ML talent that many California employers are accustomed to sponsoring. The state's density of AI-focused startups and hyperscale tech companies means employers here often have established immigration counsel and repeat sponsorship processes for senior roles, which can make the process more structured compared to employers in states with less immigration volume.
What is the prevailing wage for sponsored principal machine learning engineer 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.