Green Card Machine Learning Manager Jobs
Machine Learning Manager roles qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, data science, or a related field. Employers sponsor permanent residency through the PERM labor certification process, which benchmarks your offered salary against DOL prevailing wages for the SOC code covering ML leadership roles.
Find Green Card Machine Learning Manager JobsOverview
Showing 5 of 2,056+ Machine Learning Manager jobs
See all 2,056+ Machine Learning Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Manager roles.
Get Access To All JobsINTRODUCTION
We are seeking a Senior Machine Learning Engineer to drive behavioral optimization and alignment for our Large Driving Model (LDM). In this role, you will play a foundational part in the LDM Behavioral Alignment team, taking a holistic, vertical view of complex autonomous driving behaviors. Your objective is to analyze, define, and systematically improve vehicle actions by working fluidly across data, training, and model stacks.
Rather than focusing on an isolated layer, you will target the root causes of insufficient driving performance and implement end-to-end solutions—ranging from advanced dataset curation to reinforcement learning (RL)—to directly deliver safer, smoother, and more predictable on-road behavior.
ROLE AND RESPONSIBILITIES
- Diagnose performance bottlenecks for targeted driving behaviors, establishing clear solution roadmaps across data, modeling, training recipe, and reinforcement learning loops.
- Design data mining strategies and metrics to understand targeted model behavior to drive performance insights, measure progress, and inform model fine-tuning and alignment.
- Design, experiment with, and deliver RL algorithms, Supervised Fine-Tuning (SFT) strategies, and RL reward structures to optimize on-road driving policies.
- Partner across the Autonomy organization with Infrastructure, Perception, and Motion Planning teams to implement high-impact solutions while successfully handing off long-term platform productionization to system owners.
- Provide technical guidance, code reviews, and mentorship for junior and mid-level engineers, fostering high standards for system design.
BASIC QUALIFICATIONS
- B.S. or M.S. in Computer Science, Machine Learning, Robotics, or related fields.
- 5+ years of experience as an ML Engineer, Motion Planning Engineer, or Data Engineer within the LLM/VLM, autonomous driving, robotics, or computer vision space.
- Advanced proficiency in Python and deep learning frameworks (e.g., PyTorch), with a track record of training and fine-tuning large-scale models.
- Experience with Reinforcement Learning (RL), reward design, and policy optimization.
- Strong understanding of traditional planning concepts, edge cases, kinematic feasibility, and vehicle physics.
- Demonstrated ability to navigate highly ambiguous projects, shifting focus dynamically to solve vertical problems and deliver validated on-road impact.
- Strong cross-functional communication skills, with an ability to clearly balance technical trade-offs in a fast-paced environment.
INTRODUCTION
We are seeking a Senior Machine Learning Engineer to drive behavioral optimization and alignment for our Large Driving Model (LDM). In this role, you will play a foundational part in the LDM Behavioral Alignment team, taking a holistic, vertical view of complex autonomous driving behaviors. Your objective is to analyze, define, and systematically improve vehicle actions by working fluidly across data, training, and model stacks.
Rather than focusing on an isolated layer, you will target the root causes of insufficient driving performance and implement end-to-end solutions—ranging from advanced dataset curation to reinforcement learning (RL)—to directly deliver safer, smoother, and more predictable on-road behavior.
ROLE AND RESPONSIBILITIES
- Diagnose performance bottlenecks for targeted driving behaviors, establishing clear solution roadmaps across data, modeling, training recipe, and reinforcement learning loops.
- Design data mining strategies and metrics to understand targeted model behavior to drive performance insights, measure progress, and inform model fine-tuning and alignment.
- Design, experiment with, and deliver RL algorithms, Supervised Fine-Tuning (SFT) strategies, and RL reward structures to optimize on-road driving policies.
- Partner across the Autonomy organization with Infrastructure, Perception, and Motion Planning teams to implement high-impact solutions while successfully handing off long-term platform productionization to system owners.
- Provide technical guidance, code reviews, and mentorship for junior and mid-level engineers, fostering high standards for system design.
BASIC QUALIFICATIONS
- B.S. or M.S. in Computer Science, Machine Learning, Robotics, or related fields.
- 5+ years of experience as an ML Engineer, Motion Planning Engineer, or Data Engineer within the LLM/VLM, autonomous driving, robotics, or computer vision space.
- Advanced proficiency in Python and deep learning frameworks (e.g., PyTorch), with a track record of training and fine-tuning large-scale models.
- Experience with Reinforcement Learning (RL), reward design, and policy optimization.
- Strong understanding of traditional planning concepts, edge cases, kinematic feasibility, and vehicle physics.
- Demonstrated ability to navigate highly ambiguous projects, shifting focus dynamically to solve vertical problems and deliver validated on-road impact.
- Strong cross-functional communication skills, with an ability to clearly balance technical trade-offs in a fast-paced environment.
See all 2,056+ Green Card Machine Learning Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Machine Learning Manager Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Manager
Match your credentials to EB-2 requirements
PERM filings for Machine Learning Manager roles are typically classified under EB-2, requiring a master's degree or equivalent. If your highest degree is a bachelor's, document five years of progressive ML leadership experience to satisfy the advanced-degree equivalent standard USCIS recognizes.
Verify prevailing wage before accepting offers
Use the OFLC Wage Search to look up the prevailing wage for your specific SOC code and work location before negotiating compensation. Your offered salary must meet or exceed the DOL-certified wage level, or PERM will be denied regardless of your qualifications.
Target employers with active PERM filing history
Search for Machine Learning Manager roles at employers who have filed PERM applications for similar ML or AI leadership titles before. Prior PERM activity signals that the employer's HR and legal teams already understand the process, reducing delays caused by internal inexperience with green card sponsorship.
Use Migrate Mate to find sponsoring employers
Filter job searches specifically by green card sponsorship history so you don't waste time on roles where PERM is not on the table. Migrate Mate surfaces Machine Learning Manager positions at employers with documented EB-2 and EB-3 sponsorship activity, letting you apply where permanent residency is a realistic outcome.
Clarify sponsorship timing during the offer stage
Ask directly whether the employer will initiate PERM immediately after hire or wait for a performance review period. Many ML-focused companies delay green card filing by 12 to 18 months, which matters if you're currently on OPT or H-1B visa and need to track your authorized stay against PERM milestones.
Align your O*NET occupation profile with the job description
PERM requires the job duties to map cleanly to the DOL occupation classification. Review the O*NET profile for Machine Learning Manager or the closest matching SOC code and confirm that your employer's job description reflects the specialized duties listed, reducing the risk of an audit or denial on occupational classification grounds.
Green Card Machine Learning Manager: Frequently Asked Questions
Does a Machine Learning Manager role qualify for EB-2 or EB-3 green card sponsorship?
Most Machine Learning Manager positions qualify under EB-2 because they require a master's degree or equivalent in computer science, data science, or a related field. If the employer's minimum requirement is a bachelor's degree with at least five years of specialized ML experience, the role can also be filed under EB-3 as a skilled worker. The classification depends on how the employer documents the minimum requirements in the PERM application.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B is a temporary work visa renewed in two or three-year increments, subject to an annual lottery cap. PERM is the first step toward permanent residency and has no annual cap at the EB-2 or EB-3 petition level. The tradeoff is timeline: H-1B status can begin within months, while PERM plus I-140 approval typically takes one to three years before you can file for adjustment of status, and priority date backlogs add further wait time for some nationalities.
What does the PERM labor certification process look like for a Machine Learning Manager?
Your employer files an ETA Form 9089 with DOL after completing a mandatory recruitment period to demonstrate no qualified U.S. workers are available for the role. For a Machine Learning Manager position, DOL scrutinizes whether the stated degree and experience requirements are genuinely necessary and not inflated. Once PERM is certified, your employer files an I-140 immigrant petition with USCIS, and you can apply for adjustment of status once your priority date becomes current.
How can I find Machine Learning Manager jobs where employers will sponsor a green card?
Migrate Mate lets you search specifically for Machine Learning Manager roles at employers with documented green card sponsorship history, filtering out positions where PERM sponsorship is unlikely. Searching this way saves time and surfaces companies whose HR and legal teams have already navigated the PERM process for similar ML leadership roles, which is a meaningful signal of a smoother sponsorship experience.
Can my employer start the PERM process while I am on H-1B status?
Yes. Employers routinely begin PERM while you are in active H-1B status, and the two processes run in parallel. Filing PERM early is strategically important because the priority date on your approved I-140 determines your place in the green card queue. If your PERM is certified and I-140 approved before your sixth year of H-1B, AC21 allows annual H-1B extensions beyond the standard six-year cap until your green card is adjudicated.