Green Card Principal Machine Learning Engineer Jobs
Principal Machine Learning Engineer roles rank among the most sponsorship-active positions in U.S. tech, making them strong candidates for EB-2 or EB-3 green card sponsorship. Employers must complete PERM labor certification with DOL before filing an I-140, and per-country backlogs can affect your timeline depending on your nationality.
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Get Access To All JobsINTRODUCTION
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.
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.
See all 442+ Green Card Principal Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Principal Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Principal Machine Learning Engineer
Align your credentials to EB-2 requirements
An EB-2 petition requires a master's degree or a bachelor's degree plus five years of progressive experience in machine learning or a closely related field. Document each role's scope carefully; USCIS scrutinizes whether experience was genuinely progressive, not lateral.
Use OFLC Wage Search before negotiating salary
Your PERM prevailing wage determination locks in a floor salary the employer must meet or beat. Pull the Level III or IV wage for your SOC code and metropolitan area using OFLC Wage Search so you enter salary talks knowing what DOL will certify.
Find green-card-sponsoring employers on Migrate Mate
Identifying which employers have a track record of sponsoring Principal Machine Learning Engineers through PERM is half the job search. Migrate Mate lists U.S. employers with verified employment-based green card sponsorship history, searchable by role and location.
Request a priority date strategy from your attorney
If you're a national of India or China, your priority date backlog can run years ahead of when PERM even files. Ask prospective employers whether they'll initiate PERM early, since your clock doesn't start until DOL receives that application.
Verify the job description matches your O*NET profile
PERM recruitment must demonstrate no qualified U.S. workers are available for the specific role as written. Cross-reference your job duties against the O*NET occupation profile for your SOC code to ensure the description supports, not undermines, the employer's recruitment test.
Secure AC21 portability before changing employers
Once your I-485 has been pending 180 days, you can move to a new Principal Machine Learning Engineer role in the same or similar occupation without restarting the green card process. Confirm the occupational similarity in writing with your new employer before resigning.
Green Card Principal Machine Learning Engineer: Frequently Asked Questions
Does a Principal Machine Learning Engineer role qualify for EB-2 green card sponsorship?
Yes, in most cases. EB-2 covers positions requiring an advanced degree or a bachelor's degree plus five years of progressive specialized experience. Principal-level machine learning roles typically require a master's degree or its equivalent in computer science, statistics, or a related field, which meets the EB-2 advanced-degree standard. Your employer will confirm the minimum requirements in the PERM application.
How does green card sponsorship through PERM differ from H-1B for this role?
H-1B visa is temporary work authorization requiring renewal every three years, subject to an annual lottery. PERM-based green card sponsorship leads to lawful permanent residence with no renewal requirement. The process is longer: your employer files a prevailing wage determination with DOL, conducts a formal recruitment test, then files an I-140 petition with USCIS. Per-country backlogs mean nationals of high-demand countries may wait years before an immigrant visa number becomes available, even after PERM is certified.
How do I find employers who sponsor the green card for Principal Machine Learning Engineers?
Migrate Mate lists U.S. employers with verified employment-based green card sponsorship history, searchable by role and city. Focusing your search on companies with an established PERM filing track record for machine learning roles saves time and avoids employers who are unfamiliar with or unwilling to fund the multi-year sponsorship process.
What happens to my green card application if I change employers mid-process?
If your I-485 has been pending for at least 180 days and you move to a same or similar occupation, AC21 job portability lets you keep your priority date and continue toward permanent residence without restarting PERM. If you change before the 180-day mark, the new employer must file a new PERM and I-140 from scratch, though an approved I-140 priority date can often be carried over.
Can a startup or small tech company sponsor a Principal Machine Learning Engineer for a green card?
Yes, there is no employer size requirement for EB-2 or EB-3 sponsorship. USCIS and DOL do, however, evaluate whether the employer can demonstrate the financial ability to pay the prevailing wage at the time of filing and throughout the process. Smaller companies should prepare audited financials or tax returns to support the offer of employment during PERM and I-140 adjudication.