Machine Learning Engineer Jobs at Zoox with Visa Sponsorship
Machine Learning Engineer jobs at Zoox involve working on perception, prediction, and planning systems that power a robotaxi designed for dense urban environments, as the company builds autonomous vehicles from the ground up. 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
Within the System Behavior Analysis (SBA) organization, the Behavioral Automated Triage (BAT) team builds the ML, deep learning, and data pipelines that help Zoox understand and triage failures our robots encounter on the road. You will build agentic, LLM-powered triage systems and run them in production, keeping pipelines healthy that teams across Zoox use daily, while working closely with stakeholders across safety, planning, and quality assurance.
ROLE AND RESPONSIBILITIES
Design and improve ML/DL algorithms on large-scale data to automate test and triage workflows.
Build and run agentic LLM systems (e.g., Claude or Gemini) that automate triage, from prototype to production.
Run multiple production pipelines: monitor them, respond to issues, and fix the root causes.
Work with stakeholders across data science, ML, autonomous drive planning, and quality assurance.
* Build monitoring tools and use them to keep improving your algorithms in production.
BASIC QUALIFICATIONS
PhD or Master's in a STEM field and 4+ years in Triage, Performance Analytics, for fortune 500 including infrastructure as code, ML, NLP, or deep learning.
Strong productionization, CI/CD experience for medium to large projects Python, with a solid grasp of dashboards, eval, algorithms and data manipulation.
Experience with RAG, PyTorch, TensorFlow, or HuggingFace.
Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.
* Has run multiple production pipelines on platforms like Databricks and AWS, including fixing production issues.
PREFERRED QUALIFICATIONS
Experience with self correcting models, installation and maintenance of LLMs, data visualization tools like Looker/Dash/Databricks Dashboards.
Experience in Performance Monitoring at Scale, Support environments, autonomous driving, robotics.
* Strong verbal and written communication skills.
COMPENSATION
- Base Salary Range: $166,000 - $234,000 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.
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
Within the System Behavior Analysis (SBA) organization, the Behavioral Automated Triage (BAT) team builds the ML, deep learning, and data pipelines that help Zoox understand and triage failures our robots encounter on the road. You will build agentic, LLM-powered triage systems and run them in production, keeping pipelines healthy that teams across Zoox use daily, while working closely with stakeholders across safety, planning, and quality assurance.
ROLE AND RESPONSIBILITIES
Design and improve ML/DL algorithms on large-scale data to automate test and triage workflows.
Build and run agentic LLM systems (e.g., Claude or Gemini) that automate triage, from prototype to production.
Run multiple production pipelines: monitor them, respond to issues, and fix the root causes.
Work with stakeholders across data science, ML, autonomous drive planning, and quality assurance.
* Build monitoring tools and use them to keep improving your algorithms in production.
BASIC QUALIFICATIONS
PhD or Master's in a STEM field and 4+ years in Triage, Performance Analytics, for fortune 500 including infrastructure as code, ML, NLP, or deep learning.
Strong productionization, CI/CD experience for medium to large projects Python, with a solid grasp of dashboards, eval, algorithms and data manipulation.
Experience with RAG, PyTorch, TensorFlow, or HuggingFace.
Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.
* Has run multiple production pipelines on platforms like Databricks and AWS, including fixing production issues.
PREFERRED QUALIFICATIONS
Experience with self correcting models, installation and maintenance of LLMs, data visualization tools like Looker/Dash/Databricks Dashboards.
Experience in Performance Monitoring at Scale, Support environments, autonomous driving, robotics.
* Strong verbal and written communication skills.
COMPENSATION
- Base Salary Range: $166,000 - $234,000 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.
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 30+ Machine Learning Engineer Jobs at Zoox
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs at Zoox.
Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at Zoox
Align your ML focus to AV-specific domains
Zoox hires ML Engineers for perception, motion forecasting, and sensor fusion, not general-purpose ML. Frame your resume around LiDAR, camera, or radar data pipelines so your profile matches their active hiring areas rather than broad machine learning.
Prepare your specialty occupation documentation early
H-1B petitions for ML roles require demonstrating the position meets specialty occupation standards. Pull together degree transcripts, a detailed job description from Zoox, and any publications or patents that establish your theoretical depth in relevant subfields before your offer stage.
Use Migrate Mate to filter Zoox ML openings by visa type
Zoox posts across multiple ML Engineering tracks simultaneously. Migrate Mate lets you filter Zoox roles by the visa categories they sponsor, so you can target the openings explicitly matched to your current status, whether OPT, H-1B, or E-3.
Confirm your OPT STEM extension eligibility before accepting
Zoox is E-Verify enrolled, which is required for the 24-month STEM OPT extension. Before signing an offer, verify your degree is on the current STEM Designated Degree Program list so your extension timeline lines up with their onboarding plans.
Ask recruiters about cap-exempt petition timing
If you missed the H-1B lottery, ask Zoox's recruiting team whether they'll file a cap-exempt petition if you hold concurrent status at a qualifying institution or previous cap-counted approval. Autonomous vehicle research roles can sometimes support this pathway.
Account for PERM timing if you're targeting a Green Card
EB-2 and EB-3 PERM labor certification processing at DOL currently runs many months before an I-140 can be filed. Raise permanent residency intentions with Zoox's immigration team early so they can schedule the recruitment process without delaying your timeline.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for Machine Learning Engineers?
Yes, Zoox sponsors H-1B visas for Machine Learning Engineer roles. The company has a consistent pattern of petitioning for engineers across its autonomy stack, including perception, prediction, and planning functions. Because ML Engineering clearly meets USCIS specialty occupation standards, H-1B petitions for these roles are well-supported by degree requirements in computer science, electrical engineering, or a closely related field.
Which visa types does Zoox commonly use for Machine Learning Engineer roles?
Zoox sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, J-1 visa, and F-1 OPT and CPT for Machine Learning Engineers, and supports EB-2 and EB-3 Green Card pathways for longer-term employees. Australian citizens can use the E-3 visa as an H-1B alternative with no lottery. Canadian and Mexican nationals working in qualifying engineering occupations may be eligible for TN visa status.
How do I apply for Machine Learning Engineer jobs at Zoox?
Search for Machine Learning Engineer openings directly on Zoox's careers page, or browse their current postings filtered by visa sponsorship eligibility on Migrate Mate. Zoox typically screens for strong fundamentals in deep learning, experience with large-scale data systems, and familiarity with at least one autonomous vehicle domain such as perception or sensor fusion. A coding screen and systems design interview are standard parts of the process.
What qualifications does Zoox expect for Machine Learning Engineer candidates?
Zoox generally looks for a master's or PhD in computer science, machine learning, robotics, or a closely related field, along with hands-on experience building and deploying models at scale. For senior roles, domain depth in areas like 3D object detection, trajectory prediction, or onboard inference optimization carries significant weight. Strong programming skills in Python and C++ are expected across most ML Engineering tracks.
How do I manage timing between my visa status and a Zoox offer?
If you're on F-1 OPT, confirm your remaining authorized period before your anticipated start date, since Zoox's onboarding and background check process can take several weeks. For H-1B transfers, Zoox can file a concurrent petition so you're covered on day one. If you're between roles and in a 60-day grace period, prioritize getting the offer signed and the petition filed before that window closes.