Senior Machine Learning Engineer (Perception)

• We are seeking an AI engineer to design and develop auto-labeling algorithms and platforms to facilitate AI model development for the Perception component of our autonomous driving stack

• In this role, you will work closely with Machine Learning engineers, data scientists, and software engineers to build scalable and high-performance pipelines that auto-label PBs of multimodal data and manage versioned datasets used by ML engineers to prototype and train online models with maximized productivity

• The Perception Labeling and Tools team aims to automate the dataloop and lead data-driven model development platforms and processes

• Data mining tools and data pipelines, such as active learning framework, miner scheduling and visualization tools, CLIP embedding indexes, etc

• Labeling platforms such as human labeling web apps, labeling task and labeler management platform, auto-labeling pipelines

• Dataset management app for label data curation and versioned dataset management and model-loop integration

• Collaborate with ML engineers to research, implement, or improve autolabeling algorithms to generate auto-labeled data for model training and prototyping

• Work with ML engineers and data scientists to evaluate auto-label data quality and seek a feedback loop to continuously improve model performance

• Work with other software engineers in the team to integrate auto-label datasets and pipelines into the Dataloop platform to deliver impact on end-to-end data-driven ML development

• Continuously define problems and opportunities to iterate the application with a visionary product roadmap that keeps stakeholders on the same page

• Stay up-to-date with the latest trends and technologies in autonomous driving perception and machine learning, especially auto-labeling and unsupervised learning

Benefits

• Paid parental leave

• Affinity groups and sports clubs

• Work from home opportunities

• Health insurance

• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away

• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside

• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes

• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

• 5+ years of experience in software engineering and data-driven ML development

• Experience with data management tools and frameworks

• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

• Experience with human labeling or auto-labeling

• Experience in ML-related development in the Autonomous Driving industry

• Experience in scalable AI computation frameworks such as Ray