Machine Learning Engineer - Perception Offline Driving Intelligence

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Join to apply for the Machine Learning Engineer - Perception Offline Driving Intelligence role at Zoox The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world.
We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments.

As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding.
You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency.
Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.

In This Role, You Will

Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environmentsImplement model architectures and sophisticated training techniquesBuild large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities.Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline.Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system

Qualifications

MS or PhD in Computer Science, Machine Learning, or related technical fieldDemonstrated experience training and deploying large language models (LLMs)Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projectsExperience training models with large scale data

Bonus Qualifications

Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)Experience with autonomous robotics systems

$180,000 - $256,000 a year

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.
Seniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesAutomotiveReferrals increase your chances of interviewing at Zoox by 2x
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