About the job
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV). We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet.
Responsibilities
Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets
Develop methods for data mining and recipes for automated data collection/model update flywheels
Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates
Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion.
Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs.
Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation.
Qualifications
Minimum
A degree in Computer Science, Engineering, or a related technical field
4+ years of professional experience in the field of software engineering and machine learning
Proficiency in C++ and Python
Experience in designing distributed systems processing data at scale, especially ML data infra
Good foundational understanding of ML principles and SOTA methods
Passionate about building world-class ML infrastructure
Strong communication skills
Preferred
Experience with implementing data compliance & data governance solutions
Experience with VLM/LLMs