Green Card Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Your employer files a PERM labor certification with DOL before petitioning USCIS, permanently sponsoring your residency rather than tying you to a temporary status.
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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 as a Machine Learning Engineer
Align your credentials to EB-2 requirements
A U.S. master's degree or a foreign equivalent in computer science, statistics, or a related field positions you for EB-2. Document your degree equivalency early, because PERM audits frequently scrutinize whether your qualifications match the job's minimum requirements.
Target employers with active PERM filing history
Search DOL OFLC disclosure data to confirm an employer has filed PERM certifications for ML Engineer roles recently. A company that has never run a PERM case for your job category faces a steeper learning curve, slowing your green card timeline considerably.
Use Migrate Mate to filter sponsoring employers
Search for Machine Learning Engineer roles on Migrate Mate to surface employers who have sponsored green cards for this specific job title, so you're applying to companies already equipped to run your PERM case from day one.
Verify your role meets DOL prevailing wage
Run your job title and work location through OFLC Wage Search before negotiating an offer. Your offered salary must meet the DOL prevailing wage for the role, or your PERM application will fail regardless of your qualifications or the employer's intent.
Clarify sponsorship scope during the offer stage
Confirm in writing whether the employer will cover premium processing for the I-140 and whether they sponsor dependents. ML Engineer roles attract competitive offers, but sponsorship terms vary widely and are rarely spelled out unless you ask directly before signing.
Check your O*NET job zone before the employer files
Machine Learning Engineer maps to O*NET job zone four or five, which supports the specialty occupation requirement underpinning both EB-2 and EB-3 eligibility. Share this with your employer's attorney to head off any PERM audit questions about whether the role requires a degree.
Green Card Machine Learning Engineer: Frequently Asked Questions
Does a Machine Learning Engineer role qualify for EB-2 or EB-3 sponsorship?
Both categories apply depending on your credentials and the employer's job description. EB-2 requires a master's degree or higher, or a bachelor's plus five years of progressive experience. EB-3 covers professionals with a bachelor's degree in a relevant field. Most ML Engineer positions specify a degree in computer science, mathematics, or statistics, which satisfies the minimum requirements for either category under PERM.
How does green card sponsorship differ from H-1B sponsorship for ML Engineers?
H-1B visa ties you to a specific employer on a temporary, renewable status and subjects you to the annual lottery. Green card sponsorship through PERM leads to permanent residency with no cap concerns at the EB-3 level for many countries and no renewal cycle. The tradeoff is time: PERM, I-140, and adjustment of status together can take two to four years for most nationalities, compared to a few months for an H-1B approval.
How do I find Machine Learning Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you filter ML Engineer roles by employers who have a documented history of PERM and I-140 sponsorship for this specific job title. That's more reliable than asking during a cold application, since many companies sponsor for some roles but not others depending on the team, budget, and headcount.
What does the PERM labor certification process look like for an ML Engineer role?
Your employer must conduct a supervised recruitment process to prove no qualified U.S. workers are available for the role at the offered wage. DOL reviews the documentation and, if certified, issues a PERM approval that the employer then uses to file an I-140 immigrant petition with USCIS on your behalf. The full PERM stage alone currently averages several months to over a year depending on whether an audit is triggered.
Can I change jobs while my green card is pending as an ML Engineer?
Once your I-140 is approved and your priority date is current, portability rules under AC21 allow you to change to a same or similar role without restarting the process. Machine Learning Engineer and related ML-focused titles are generally considered similar enough to support portability, but you'll want your new employer and immigration counsel to confirm the SOC code alignment before you switch.