Green Card ML Engineer Jobs
ML Engineer roles qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, statistics, or a related field, and for EB-3 when a bachelor's degree suffices. Employers file PERM labor certification with DOL before petitioning USCIS, making documented specialty-occupation duties and prevailing-wage compliance central to a successful sponsorship.
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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 ML Engineer
Document your ML specialization before applying
PERM requires your employer to prove the role needs your specific qualifications. Compile publications, model deployment records, and performance benchmarks that tie your ML credentials to the job duties your employer will list on the labor certification.
Target employers with dedicated immigration infrastructure
Large tech firms and research-driven companies with in-house immigration counsel move PERM cases faster and with fewer errors. Look for ML roles at organizations that have sponsored foreign workers before, not just those posting open positions.
Search green card sponsoring ML jobs on Migrate Mate
Filter by EB-2 or EB-3 sponsorship history to find ML Engineer roles at employers who have actually filed PERM cases. Migrate Mate surfaces this DOL disclosure data so you skip the manual search through raw government filings.
Understand the prevailing wage before negotiating your offer
DOL sets four wage levels for ML Engineer roles by location. Use the OFLC Wage Search to check the Level II or Level III rate for your target metro area before your offer conversation, since your salary must meet or exceed the certified wage.
Ask your employer about EB-2 versus EB-3 at the offer stage
If your role genuinely requires a master's degree or you hold a strong credentials profile, EB-2 often means a shorter priority date wait for most nationalities. Clarify which category your employer intends to file under before you accept the offer.
Plan for the PERM recruitment audit window
DOL requires your employer to conduct good-faith recruitment and retain records for five years in case of an audit. Delays in starting that recruitment phase are the most common reason PERM timelines slip, so confirm your employer has begun the process.
Green Card ML Engineer: Frequently Asked Questions
Does an ML Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most ML Engineer positions qualify for EB-2 because employers routinely require a master's degree or equivalent in computer science, machine learning, or statistics. If the posted job description accepts a bachelor's degree, your employer will file under EB-3 instead. The distinction matters for priority date wait times, which vary significantly by your country of birth.
How does green card sponsorship differ from H-1B for ML Engineer roles?
Green card sponsorship through PERM and an I-140 petition leads to permanent residency, not a temporary work visa. There is no annual lottery for EB-3 the way there is for H-1B visa, and once your I-140 is approved your priority date is locked even if you change employers under portability rules. The tradeoff is a longer overall timeline, often two to five years from PERM filing to a green card in hand for most nationalities.
What does the PERM labor certification process look like for ML Engineer jobs?
Your employer files a PERM application with DOL certifying that no qualified U.S. worker was available for the ML Engineer role at the prevailing wage. DOL requires a specific recruitment campaign before filing, including job postings and documentation of applicant review. Once DOL certifies the PERM, your employer files the I-140 immigrant petition with USCIS, which locks in your priority date.
How can I find ML Engineer jobs where the employer will sponsor a green card?
Search for ML Engineer roles on Migrate Mate, which filters positions by employers with confirmed EB-2 and EB-3 PERM filing history drawn from DOL disclosure data. This removes the guesswork of cold-applying to companies that have never sponsored a foreign worker, letting you focus your effort on employers who have already run the process.
Can I use O*NET to confirm whether my ML Engineer duties support a specialty occupation?
Yes. The O*NET profile for ML Engineer and related data science occupations lists the typical education requirements, core tasks, and required knowledge areas that DOL and USCIS use when evaluating specialty occupation and PERM eligibility. If your day-to-day duties align closely with the O*NET task list, your employer's labor certification case is on stronger footing.