Technology E-3 Sponsorship Jobs in California
California is the center of U.S. technology hiring, and it's one of the most active states for E-3 visa sponsorship. Companies like Apple, Google, Meta, and Salesforce regularly hire Australian professionals into software engineering, product, and data roles. San Francisco, San Jose, and Los Angeles account for the majority of open positions.
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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.
E-3 Technology Job Roles in California
See all 3,896+ Technology E-3 Jobs in California
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Search Technology Jobs in CaliforniaTechnology E-3 Sponsorship Jobs in California: Frequently Asked Questions
Which technology companies in California sponsor E-3 visas?
Many of California's largest technology employers have established E-3 visa sponsorship processes, including Apple, Google, Meta, Salesforce, Nvidia, Adobe, and Intuit. Startups in the Bay Area and Los Angeles also sponsor E-3 visas, though their processes are typically less standardized than those of larger companies. Checking a company's prior hiring history is a reliable indicator of willingness to sponsor.
Which California cities have the most technology E-3 sponsorship jobs?
The San Francisco Bay Area, including San Jose and Silicon Valley, accounts for the highest concentration of technology E-3 sponsorship roles in California. Los Angeles has a growing technology sector, particularly in fintech, media technology, and e-commerce. San Diego has a strong presence in biotech software and defense technology. Remote roles based in California also appear regularly, though visa sponsorship terms can vary.
What types of technology roles typically qualify for E-3 sponsorship in California?
Roles that consistently qualify include software engineer, data scientist, machine learning engineer, product manager, cybersecurity analyst, cloud architect, and UX designer. The E-3 requires the position to be a specialty occupation, meaning it must theoretically and practically require at least a bachelor's degree in a specific technical field. Generalist roles or positions where any degree field is acceptable are less likely to qualify.
How do I find technology E-3 sponsorship jobs in California?
Migrate Mate is built specifically for this search. It filters technology roles in California by E-3 visa sponsorship, so you're only seeing positions from employers who have indicated a willingness to sponsor. This saves significant time compared to applying broadly and asking about sponsorship at the offer stage. Migrate Mate also surfaces employer sponsorship history, which is useful context before applying to California technology companies.
Are there any California-specific considerations for E-3 sponsorship in technology?
California's strong worker-protection laws can affect employment terms but don't change federal E-3 requirements. One practical consideration is that California technology roles are highly competitive, and many employers have internal immigration teams or preferred law firms experienced with E-3 filings, which generally makes the sponsorship process more straightforward. Australian professionals should confirm that any offer letter specifies the role as full-time, as E-3 status requires a legitimate employer-employee relationship.
What is the prevailing wage for E-3 technology 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.