Green Card Machine Learning Jobs
Machine learning roles sit squarely within EB-2 and EB-3 specialty occupation categories, making them strong candidates for PERM-based green card sponsorship. Employers file a labor certification with DOL before petitioning USCIS, permanently tying your residency to a qualifying ML position rather than a temporary work authorization cycle.
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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.
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Get Access To All JobsTips for Finding Green Card Sponsorship in Machine Learning
Frame your ML credentials for PERM documentation
PERM requires your employer to prove the role genuinely needs a degree in a specific field. Gather transcripts, publications, and project portfolios that show your machine learning specialization maps directly to the advertised job duties, not just general software engineering.
Target employers with active PERM filing history
Not every tech employer sponsors green cards, even if they hire on H-1B visa. Search DOL PERM disclosure data to identify companies that have filed labor certifications for ML-specific job titles like 'Machine Learning Engineer' or 'Research Scientist' in the past two years.
Search green card jobs on Migrate Mate
Migrate Mate filters job listings specifically by green card sponsorship history, so you're not guessing which ML employers will file PERM. Use it to surface roles where sponsorship is already part of the hiring process, not an afterthought you negotiate later.
Distinguish EB-2 NIW from employer-sponsored EB-2
If your ML research has national-scale impact, a National Interest Waiver lets you self-petition under EB-2 without a PERM labor certification. Published models, patents, or government-funded research often support NIW eligibility, bypassing the employer-driven recruitment advertising timeline entirely.
Negotiate PERM filing timing before signing an offer
Ask prospective employers whether they will file PERM within your first year, since the Department of Labor recruitment and audit process adds 12 to 18 months before USCIS even sees your I-140. Clarifying this in the offer stage prevents multi-year delays after you've already started.
Verify your ML job title matches DOL wage-level categories
PERM prevailing wages are calculated against specific SOC codes. 'Machine Learning Engineer' and 'Data Scientist' map to different O*NET profiles with different wage levels. Confirm with your employer which SOC code they plan to use via OFLC Wage Search before the labor certification is filed.
Green Card Machine Learning: Frequently Asked Questions
Do machine learning roles qualify for EB-2 or EB-3 green card sponsorship?
Most machine learning positions qualify under EB-2 because they typically require an advanced degree in computer science, statistics, or a related field and involve work that cannot be performed by someone without that specialized education. Roles at the entry or mid-level that require only a bachelor's degree may fall under EB-3 instead. Your employer's attorney will determine the correct category based on the actual job requirements, not your personal credentials.
How does green card sponsorship differ from H-1B for ML engineers?
H-1B is a temporary work visa capped at 85,000 new slots annually and subject to a lottery. Green card sponsorship through PERM and I-140 is permanent residency with no annual cap at the EB-3 level for most countries outside India and China. The PERM process takes longer up front, often 18 to 24 months from labor certification to I-140 approval, but the outcome is lawful permanent residency rather than a renewable temporary status.
Where can I find machine learning jobs that offer green card sponsorship?
Migrate Mate is built specifically for this search. It surfaces ML job listings filtered by employers with documented green card sponsorship history, so you can focus your applications on companies that have already filed PERM labor certifications for similar roles rather than cold-applying and asking later whether sponsorship is available.
What does the PERM labor certification process require from my employer?
Your employer must conduct a DOL-supervised recruitment campaign to demonstrate that no qualified U.S. worker is available for the role. For ML positions, this typically includes job postings in specific formats over a mandatory 30-day period. DOL reviews the recruitment results before certifying the labor application, which then becomes the foundation for your I-140 immigrant visa petition with USCIS.
Can I switch ML jobs while my green card application is pending?
Portability rules under AC21 allow you to change to a same or similar ML role once your I-140 has been approved and your I-485 adjustment of status application has been pending for at least 180 days. 'Same or similar' is evaluated against the SOC code and job duties on the original petition, so moving from one machine learning engineering role to another typically qualifies, but a significant shift in responsibilities could raise questions.