Senior ML Engineer Jobs at Zoox with Visa Sponsorship
Zoox builds autonomous vehicles from the ground up, and Senior ML Engineers here work on perception, prediction, and planning systems that push the boundaries of what autonomous tech can do. Zoox has an established track record of sponsoring work visas across multiple categories for this function.
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Get Access To All JobsINTRODUCTION
The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.
ROLE AND RESPONSIBILITIES
In this role, you will...
- Design and train Vision-Language-Action (VLA) solutions for robotaxis
- Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
- Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following
- Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
- Partner with cross-functional teams to integrate perception signals
BASIC QUALIFICATIONS
- MS or PhD in Computer Science or related field
- Background in deep learning solutions for VLM and VLA models
- Track record in post-training large-scale models, CPT, SFT, RL
- Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
- Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
PREFERRED QUALIFICATIONS
- Deep knowledge of cutting-edge computer vision techniques
- Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
- Experience with integrating large language models to various tasks
COMPENSATION
- Base Salary Range: $189,000 - $290,000 a year
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. Follow us on LinkedIn
ACCOMMODATIONS
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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. 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.
INTRODUCTION
The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.
ROLE AND RESPONSIBILITIES
In this role, you will...
- Design and train Vision-Language-Action (VLA) solutions for robotaxis
- Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
- Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following
- Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
- Partner with cross-functional teams to integrate perception signals
BASIC QUALIFICATIONS
- MS or PhD in Computer Science or related field
- Background in deep learning solutions for VLM and VLA models
- Track record in post-training large-scale models, CPT, SFT, RL
- Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
- Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
PREFERRED QUALIFICATIONS
- Deep knowledge of cutting-edge computer vision techniques
- Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
- Experience with integrating large language models to various tasks
COMPENSATION
- Base Salary Range: $189,000 - $290,000 a year
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. Follow us on LinkedIn
ACCOMMODATIONS
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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. 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 Senior ML Engineer Jobs at Zoox Jobs
Align your portfolio to autonomy-specific ML
Zoox evaluates Senior ML Engineers on experience with real-world perception, sensor fusion, or motion planning systems. Frame your projects around production-deployed models at scale, not academic benchmarks or general-purpose NLP or recommendation systems.
Request LCA filing details early in offer negotiation
Your employer files a Labor Condition Application with DOL before your H-1B petition can move forward. Ask your Zoox recruiter which prevailing wage level the role is classified under, since Senior ML Engineer positions can span Level II through Level IV depending on scope.
Prepare for multi-round technical depth on ML systems
Zoox interviews for this level typically involve system design for real-time inference pipelines and debugging live model failures, not just coding exercises. Strong candidates walk through production trade-offs, latency constraints, and how they've handled distribution shift in deployed environments.
Use Migrate Mate to filter open roles by sponsorship type
Not every Senior ML Engineer opening at Zoox is posted with clear sponsorship details. Use Migrate Mate to browse current openings filtered by the visa categories Zoox actively supports, so you can target the right positions from the start.
Senior ML Engineer at Zoox jobs are hiring across the US. Find yours.
Find Senior ML Engineer at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for Senior ML Engineers?
Yes, Zoox sponsors H-1B visas for Senior ML Engineers. The company participates in the annual H-1B cap registration process and also supports cap-exempt scenarios where applicable. If you're already in H-1B status with another employer, Zoox can file an H-1B transfer, which lets you start working as soon as USCIS receives the petition.
Which visa types does Zoox commonly sponsor for Senior ML Engineers?
Zoox sponsors a range of visa categories for this role, including H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 for exchange visitors, and employment-based Green Cards through EB-2 and EB-3 pathways. The right category depends on your nationality and current immigration status.
How do I apply for Senior ML Engineer jobs at Zoox?
Applications go through Zoox's careers portal, where Senior ML Engineer roles are listed by team and focus area, covering perception, prediction, planning, and infrastructure. Tailoring your resume to reflect autonomous systems experience improves your chances of clearing the initial screen. You can also browse current openings filtered by sponsorship eligibility on Migrate Mate before applying directly.
What qualifications does Zoox expect for Senior ML Engineer roles?
Zoox typically looks for a graduate degree in machine learning, computer science, or a related engineering field, combined with hands-on experience deploying ML models in production at scale. For the senior level specifically, experience with real-time inference, sensor data pipelines, or safety-critical systems in automotive or robotics environments is a strong differentiator over general-purpose ML backgrounds.
How do I plan my timeline if I need visa sponsorship for a Zoox offer?
Timeline depends on your visa category. E-3 and TN visas can move quickly, sometimes within weeks of an offer, since neither requires lottery registration. H-1B petitions filed under cap require USCIS registration in March for an October 1 start, so a spring offer may mean a multi-month wait. Premium processing is available for H-1B petitions and reduces USCIS adjudication to 15 business days.
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