You will:

• Design, develop, modify, and/or test software needed for various state-of-the-art self-driving vehicle applications and related products at Waymo. Duties include:

  • Develop infrastructure and frameworks for generating reliable, high quality data for foundation models; 
  • Deploy and maintain end-to-end data pipelines that deliver the foundation model data; 
  • Curate and deliver data sets, for both nominal and rare instances, that support the diverse ML tasks for foundation models; 
  • Collaborate with foundation model, Perception evaluation, and ML infrastructure teams to integrate data generation into model training and evaluation frameworks; and 
  • Collaborate with production teams to deploy foundation models in deployment settings; and Responsible for infrastructure reliability, data availability, and data quality

You have:

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field and 1 year of experience in the job offered or in a Software Engineer-related occupation.
• Position requires one year of experience in the following: 

1. C++ and Python;
2. Apache Spark, Apache Beam, and Google Cloud Dataflow;
3. AWS Data Pipeline or Faiss; and
4. ML data engineering, data pipelines, data curation, and data balancing

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.