AI Data Engineer Jobs at Zoox with Visa Sponsorship
AI Data Engineer jobs at Zoox sit at the core of the company's mission to build autonomous vehicles from the ground up, turning raw sensor and simulation data into the training pipelines that teach cars to drive. Zoox has a broad, established sponsorship track record across multiple visa categories for engineering talent.
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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.
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Zoox
Align your portfolio to AV data pipelines
Zoox's AI Data Engineers work on sensor fusion, labeling infrastructure, and large-scale ML training datasets. Before applying, build or document examples involving lidar, camera, or radar data processing. Generic ML portfolios won't stand out here.
Target teams building simulation and labeling tooling
Zoox posts AI Data Engineer roles across both real-world data ops and simulation pipeline teams. Identifying which sub-team aligns with your background lets you tailor your application and speak directly to their data infrastructure challenges in interviews.
Confirm your visa category before the offer stage
Zoox sponsors multiple nonimmigrant categories, including H-1B, E-3, TN, and F-1 OPT. Clarify which category applies to your situation before you receive a written offer, since each category has different filing timelines and employer obligations that affect your start date.
Plan OPT timing around Zoox's onboarding cycles
If you're on F-1 OPT, your work authorization window is fixed. Zoox typically onboards engineers in cohorts, so misaligning your OPT start date with a delayed offer or background check can cost you weeks of authorized work time.
Use Migrate Mate to find open AI Data Engineer roles at Zoox
Job listings for specialized roles like AI Data Engineer move fast at autonomous vehicle companies. Search Migrate Mate to filter for open positions at Zoox that explicitly support visa sponsorship, so you're applying to roles confirmed to be accessible to international candidates.
Get your STEM credentials assessed before the H-1B petition
Zoox's AI Data Engineer roles require a specialty occupation determination from USCIS. If your degree is from outside the U.S. or in a field adjacent to computer science, get a formal credential evaluation from a NACES-approved agency before your employer files the I-129 petition.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for AI Data Engineers?
Yes, Zoox sponsors H-1B visas for AI Data Engineer roles. Because these positions require specialized knowledge in machine learning infrastructure, data pipelines, or autonomous systems, they typically meet USCIS's specialty occupation standard. Your employer files the H-1B petition on your behalf using Form I-129, and sponsorship is subject to the annual cap and lottery unless you qualify for a cap-exempt route.
Which visa types are commonly used for AI Data Engineer roles at Zoox?
Zoox supports a broad range of visa categories for engineering roles, including H-1B, H-1B1 visa, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways such as EB-2 and EB-3. F-1 OPT and CPT are common entry points for recent graduates, while H-1B and E-3 visa are standard for longer-term employment. The right category depends on your nationality, education, and where you are in your career.
What qualifications are expected for AI Data Engineer positions at Zoox?
Zoox typically looks for a bachelor's or master's degree in computer science, data engineering, or a closely related field, combined with hands-on experience building large-scale data pipelines, ML training infrastructure, or labeling systems. Familiarity with sensor data formats and autonomous vehicle datasets is a strong differentiator. For H-1B purposes, your degree must directly relate to the duties of the role, which Zoox and their immigration counsel will assess.
How do I apply for AI Data Engineer jobs at Zoox?
Start by browsing open AI Data Engineer roles through Migrate Mate, which filters for positions at Zoox that support visa sponsorship. Once you identify a role, apply directly through Zoox's careers portal. Tailor your resume to highlight data pipeline architecture, ML infrastructure, or AV data experience. If you're on a time-sensitive visa status like OPT, note your authorization end date clearly during the process to allow Zoox's recruiting and immigration teams enough lead time.
How do I think about timing if I need Zoox to file an H-1B for me?
The H-1B cap lottery registration opens each March for an October 1 start date. If you're hired after the lottery closes, your earliest cap-subject H-1B start date is the following October. If you're on OPT with a STEM extension, you may have enough runway to bridge the gap. Discuss your timeline with Zoox's immigration team early in the offer process so filing deadlines don't create a gap in your work authorization.