Green Card AI ML Platform Jobs
AI ML Platform roles qualify for EB-2 sponsorship when the position requires an advanced degree in machine learning, computer science, or a related field, and for EB-3 when a bachelor's degree meets the specialty occupation standard. Your employer files a PERM labor certification with the DOL before the I-140 petition, permanently tying your green card path to the role.
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Get Access To All JobsZoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible.
The Opportunity
Would you like to be part of the ML Training platform team that enables autonomous driving, driving scenario understanding, learned planning and trajectories, large scale driving simulations and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Foundation Models, Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
The ML Training platform team builds and operates the core part of the ML platform that powers model training at scale. We are responsible for developing and operating ML tools, deep learning frameworks, and distributed model training infrastructure to support foundational models and reinforcement learning. This team also owns the model repository and model lifecycle management tools used by our applied research teams for in- and off-vehicle ML use cases. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains.
In this role, you will:
- Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
- Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
- Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
Qualifications
- 2+ years of ML infrastructure experience.
- Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
- Experience working with cloud providers like AWS.
Bonus Qualifications
- Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
- Experience with building model lifecycle management tools and experimentation.
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible.
The Opportunity
Would you like to be part of the ML Training platform team that enables autonomous driving, driving scenario understanding, learned planning and trajectories, large scale driving simulations and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Foundation Models, Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
The ML Training platform team builds and operates the core part of the ML platform that powers model training at scale. We are responsible for developing and operating ML tools, deep learning frameworks, and distributed model training infrastructure to support foundational models and reinforcement learning. This team also owns the model repository and model lifecycle management tools used by our applied research teams for in- and off-vehicle ML use cases. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains.
In this role, you will:
- Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
- Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
- Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
Qualifications
- 2+ years of ML infrastructure experience.
- Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
- Experience working with cloud providers like AWS.
Bonus Qualifications
- Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
- Experience with building model lifecycle management tools and experimentation.
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Platform
Document your ML specialization for PERM
PERM requires your employer to prove the job genuinely requires your specific credentials. Gather transcripts, published research, and project documentation that link your advanced degree or specialized training directly to the AI ML Platform role's stated requirements.
Target employers with active I-140 filing history
Companies that have filed I-140 petitions for ML engineers in the past are already familiar with PERM requirements for technical roles. Prioritize these employers early, since their HR and legal teams won't need to be educated on the process from scratch.
Verify your SOC code before the offer stage
AI ML Platform roles typically fall under SOC 15-2051 or 15-1212. The SOC code your employer selects drives the prevailing wage determination from the OFLC Wage Search, so confirm it matches your actual duties before the job order is posted.
Negotiate the PERM timeline into your offer
PERM labor certification can take 12 to 18 months before the I-140 is even filed. Ask during offer negotiations whether the employer will start PERM immediately or delay, since that decision directly affects when your priority date is established.
Use Migrate Mate to filter for green card sponsoring roles
Search Migrate Mate to find AI ML Platform positions at employers with confirmed EB-2 and EB-3 sponsorship history, so you're applying to companies already set up to run PERM rather than ones that have never filed before.
Cross-check your O*NET profile against your job description
USCIS scrutinizes whether your duties match the specialty occupation definition. Pull the O*NET profile for your role's SOC code and confirm your offer letter's responsibilities align, since mismatches between the two are a common source of RFEs on I-140 petitions.
Green Card AI ML Platform: Frequently Asked Questions
Do AI ML Platform roles qualify for EB-2 or EB-3 green card sponsorship?
Most AI ML Platform positions qualify for EB-2 because they require an advanced degree in machine learning, computer science, statistics, or a closely related field. If the role requires only a bachelor's degree, it can qualify under EB-3 as a professional position. The classification affects your priority date queue but not your eligibility for PERM labor certification, which is required under both categories.
How does green card sponsorship for this role differ from H-1B sponsorship?
Green card sponsorship through PERM is a permanent immigration pathway, not a temporary status renewal. There is no annual lottery at the EB-3 level, and your employer files a labor certification with the DOL rather than competing for a cap slot. The process takes longer, often two to four years from PERM filing to an approved I-485, but the outcome is lawful permanent residency rather than a visa tied to your employer's continued sponsorship.
What does the PERM labor certification process look like for AI ML Platform positions?
Your employer must conduct a supervised recruitment campaign to demonstrate no qualified U.S. worker is available for the role. For AI ML Platform jobs, the DOL will assign a prevailing wage based on your SOC code and work location. The employer posts the position, collects and reviews applications, documents the results, and files ETA Form 9089. Only after DOL certifies that form does your employer file the I-140 petition with USCIS.
How do I find employers that will actually sponsor a green card for an AI ML Platform role?
Search Migrate Mate to identify companies with a documented history of EB-2 and EB-3 sponsorship for ML and platform engineering roles. Many employers in this space have sponsored before but don't advertise it in job postings. Filtering by sponsorship history means you start conversations with teams whose legal and HR processes are already built for PERM rather than negotiating from zero.
Can my employer start PERM while I'm on H-1B status, and what happens if my H-1B expires during the process?
Yes, your employer can file PERM while you're in valid H-1B visa status, and this is the standard path for most sponsored professionals in ML roles. If your H-1B expires before your green card is approved, you can extend it in three-year increments under AC21 portability rules once your I-140 is approved and your priority date is within one year of becoming current.