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Key skills for this role
Extend triagers from simulation to fleet/service data
Strong Python / Pyspark / SQL skills
Coursework in machine learning, computer vision, or NLP. Understanding of supervised learning, model evaluation, and common sources of dataset bias and label noise.
Analyze error cases and translate findings into pipeline improvements
Hands-on experience building production LLM/VLM applications, including agentic workflows, RAG, tool calling, evaluation, and/or fine-tuning.
Familiarity with software-engineering practices such as Git, unit testing, debugging, and code reviews.
Strong Scala skills.
Experience with Spark optimization and distributed data-processing systems.
Experience with autonomous vehicles, robotics, mapping, or transportation-related datasets.
Experience evaluating multimodal or vision-language models.
Currently enrolled in a B.S. or M.S. program in a relevant discipline.
Experience with prompt optimization, model fine-tuning, or human-in-the-loop ML systems.
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Available to commit to a minimum three-month assignment.
Able to commit a minimum of 40 hours per week.
Able to work on-site at one of our office locations.
Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations.
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
USD 3000 / hour
Contract
Mid
Hybrid
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