Senior Machine Learning Engineer, Zoox

• 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

Desirable

• 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