Green Card Sr Staff Machine Learning Engineer Jobs
Sr Staff Machine Learning Engineer roles qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, statistics, or a related field. Employers file PERM labor certification with the DOL before submitting the I-140 petition, making this a permanent residency pathway rather than a temporary work authorization.
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Get Access To All JobsABOUT THE ROLE
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
BASIC QUALIFICATIONS
- 6+ years of experience developing ML models to solve business problems.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields.
- Familiar with modern AI/ML frameworks (e.g., PyTorch).
PREFERRED QUALIFICATIONS
- Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
- Previous experience with state-of-the-art marketplace technology is preferred.
- Experience with causal inference and constrained optimization.
COMPENSATION
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
READY TO RIDE?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
ABOUT THE ROLE
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
BASIC QUALIFICATIONS
- 6+ years of experience developing ML models to solve business problems.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields.
- Familiar with modern AI/ML frameworks (e.g., PyTorch).
PREFERRED QUALIFICATIONS
- Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
- Previous experience with state-of-the-art marketplace technology is preferred.
- Experience with causal inference and constrained optimization.
COMPENSATION
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
READY TO RIDE?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
See all 2,254+ Green Card Sr Staff Machine Learning Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Sr Staff Machine Learning Engineer
Align your degree to the PERM job description
PERM labor certification requires your employer to document that the role requires a specific degree field. A master's in computer science or statistics supports EB-2 far more cleanly than a general engineering degree paired with unrelated coursework.
Target employers with active EB-2 filing history
Use Migrate Mate to filter Sr Staff Machine Learning Engineer roles by green card sponsorship history, so you're applying to employers who have already navigated PERM and I-140 for similar technical positions rather than starting that conversation from scratch.
Verify the prevailing wage tier before accepting an offer
PERM requires your employer to pay at least the DOL prevailing wage for the role and location. Use the OFLC Wage Search to check the Level III or Level IV wage for your target metro before salary negotiations so you know what the floor actually is.
Clarify the sponsorship scope in writing during offer negotiation
Some employers sponsor H-1B visa but not PERM, or they impose tenure requirements before starting green card filings. Ask directly whether the offer includes EB-2 or EB-3 sponsorship and confirm the expected timeline from PERM filing to I-140 submission.
Document your ML specialization for the I-140 petition
Senior staff roles often involve highly specialized subfields like large-scale model training, reinforcement learning, or ML infrastructure. Gather publications, patents, architecture designs, or internal impact reports now, since USCIS may request this evidence during I-140 adjudication.
Check your priority date against the visa bulletin early
EB-2 and EB-3 are both subject to per-country backlogs for applicants born in India or China. USCIS publishes the monthly Visa Bulletin, and your wait for adjustment of status can range from months to over a decade depending on your birth country.
Green Card Sr Staff Machine Learning Engineer: Frequently Asked Questions
Does a Sr Staff Machine Learning Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Sr Staff Machine Learning Engineer positions qualify for EB-2 because employers typically require a master's degree or equivalent in computer science, statistics, or a related technical field. If the employer defines the role as requiring only a bachelor's degree, EB-3 professional is the correct category. The job description language in the PERM application determines which category applies, so your employer's HR and immigration counsel need to draft the requirements precisely.
How does green card sponsorship differ from H-1B for this role?
H-1B is a temporary nonimmigrant status capped at 65,000 registrations per year, subject to a lottery, and tied to a specific employer. EB-2 and EB-3 green card sponsorship through PERM leads to permanent residency with no annual cap on petitions themselves. The tradeoff is timeline: PERM labor certification alone can take six to eighteen months, and applicants born in India or China face priority date backlogs that can extend the total wait by years.
What does the PERM process look like for a machine learning engineering position?
Your employer files an Application for Permanent Employment Certification with DOL, documenting that no qualified U.S. worker is available for the role at the prevailing wage. This requires a supervised recruitment campaign, typically lasting sixty to ninety days. DOL then certifies or audits the application. Once certified, your employer files the I-140 immigrant petition with USCIS. Only after I-140 approval and a current priority date can you file I-485 to adjust status to lawful permanent resident.
How can I find Sr Staff Machine Learning Engineer jobs that sponsor green cards?
Search Migrate Mate specifically for Sr Staff Machine Learning Engineer roles filtered by EB-2 or EB-3 sponsorship. Most general job boards don't surface green card sponsorship history, so you can't easily distinguish employers who have filed PERM for this occupation from those who only sponsor H-1B or not at all. Targeting employers with documented sponsorship history for this job title significantly reduces the risk of pursuing roles where sponsorship is technically possible but unlikely in practice.
Can my employer start the PERM process while I'm still on H-1B or OPT?
Yes. PERM can be filed while you hold valid H-1B status or are authorized to work under OPT. There's no requirement to be in a particular nonimmigrant status to begin the green card process. Many Sr Staff Machine Learning Engineers start PERM concurrently with an H-1B extension to build priority date history. USCIS allows you to continue renewing H-1B in three-year increments beyond the six-year cap once your I-140 is approved or your PERM has been pending for 365 days.