ML Engineer Jobs at Zoox with Visa Sponsorship
ML Engineer jobs at Zoox involve building autonomous vehicle technology from the ground up, working on perception, prediction, and planning systems that require deep learning expertise. Zoox has a consistent record of sponsoring work visas across the full spectrum of nonimmigrant and immigrant visa categories for engineering roles.
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Get Access To All JobsINTRODUCTION
The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment. This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners.
ROLE AND RESPONSIBILITIES
In this role, you will...
- Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow.
- Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities.
- Engineer temporal processing modules to improve the stability and consistency of predictions over time.
- Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints.
- Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering.
QUALIFICATIONS
- MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
- Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
- Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
- Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
- Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.
BONUS QUALIFICATIONS
- Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
- Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
- Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.
COMPENSATION
- 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.
INTRODUCTION
The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment. This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners.
ROLE AND RESPONSIBILITIES
In this role, you will...
- Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow.
- Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities.
- Engineer temporal processing modules to improve the stability and consistency of predictions over time.
- Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints.
- Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering.
QUALIFICATIONS
- MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
- Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
- Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
- Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
- Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.
BONUS QUALIFICATIONS
- Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
- Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
- Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.
COMPENSATION
- 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.
See all ML Engineer Jobs at Zoox
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Get Access To All JobsTips for Finding ML Engineer Jobs at Zoox
Align your ML specialty to Zoox's stack
Zoox's ML work centers on sensor fusion, 3D object detection, and behavior prediction for autonomous vehicles. Framing your resume around these domains, not generic deep learning, signals direct fit to their perception and prediction teams.
Verify your visa type matches the role level
Zoox sponsors multiple visa categories including H-1B, E-3, TN, and OPT. Confirm which category applies to your nationality before your final interview round, since USCIS filing timelines and employer obligations differ significantly across categories.
Front-load LCA questions before offer negotiation
Your employer files a Labor Condition Application with DOL before your H-1B or E-3 can proceed. Ask the recruiting coordinator early whether the posted role's prevailing wage level aligns with your target compensation, so there are no surprises at the offer stage.
Use Migrate Mate to filter open ML roles
Zoox posts ML Engineer openings across seniority levels, but not all list explicit sponsorship language. Migrate Mate filters Zoox's active job listings by visa-sponsored roles, saving you from applying to headcount that won't support your immigration status.
Prepare a portfolio of deployment-ready ML work
Zoox's interview process for ML Engineers typically includes a system design round specific to robotics or AV perception. Prepare examples of ML models you've taken from research to production, particularly in real-time inference or safety-critical environments.
Plan your OPT bridge if H-1B selection fails
If you're on F-1 OPT and miss the H-1B lottery, your 60-day grace period after OPT expiration doesn't extend your work authorization. Discuss STEM OPT extension eligibility with Zoox's immigration counsel before your OPT end date, not after lottery results.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for ML Engineers?
Yes, Zoox sponsors H-1B visas for ML Engineer roles. As an autonomous vehicle company, Zoox regularly works with immigration counsel to file H-1B petitions for engineering positions. Sponsorship typically covers both the initial cap-subject petition and extensions, and Zoox has demonstrated consistent sponsorship activity across engineering functions including machine learning.
Which visa types does Zoox commonly use for ML Engineer roles?
Zoox sponsors a broad range of visa categories for ML Engineers, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa for exchange visitors, and employment-based Green Card pathways such as EB-2 and EB-3. The right category depends on your nationality and career stage.
What qualifications and experience does Zoox expect for ML Engineer roles?
Zoox ML Engineer roles typically require a graduate degree in computer science, robotics, or a related field, along with hands-on experience in deep learning frameworks like PyTorch or TensorFlow. Experience in perception systems, sensor fusion, or real-time inference pipelines is highly relevant. Roles at senior levels often expect prior work in safety-critical or latency-sensitive production environments.
How do I apply for ML Engineer jobs at Zoox?
You can browse and apply for ML Engineer roles at Zoox directly through their careers page, or use Migrate Mate to filter Zoox's open positions by visa sponsorship eligibility. Applications typically require a resume, and shortlisted candidates go through recruiter screens, technical assessments covering ML fundamentals and system design, and final rounds with the hiring team.
How do I plan my timeline if Zoox is sponsoring my H-1B?
H-1B cap-subject petitions can only be filed once per year, with the registration window opening in March and employment starting no earlier than October 1. If you're starting a job search now, factor in that a successful lottery selection and USCIS approval can take six months or more. Confirm with Zoox's immigration team whether premium processing is available to shorten the adjudication window.