Foundation Model Data Engineer

Waymo; San Francisco (CA); Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Health, dental, vision, life, disability insurance

401(k) with company match

20 days of vacation per year

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays per year

Job summary

Waymo is seeking a hybrid role to build and operate petabyte-scale data systems and machine learning pipelines. The ideal candidate will have strong software engineering skills, proficiency in Python and C++, and experience with large-scale data infrastructure.

Responsibilities include shepherding foundation models and collaborating with AI experts to improve products. The expected salary range is $213,000 to $263,000 annually, along with comprehensive benefits.

Qualifications

• Undergraduate degree in Computer Science, Machine Learning, Robotics, or similar.
• Proficiency in Python and C++.
• Experience building or maintaining large-scale data pipelines or ML infrastructure.

Responsibilities

• Build and operate petabyte-scale data systems and ML pipelines.
• Shepherd foundation models from prototypes to robust components.
• Develop automated infrastructure for efficient data solutions.

Skills

Python

C++

Large-scale data pipelines

Machine Learning infrastructure

Software engineering

Education

Undergraduate degree in Computer Science or related field

Tools

Flume

Spark

Kubeflow

Job description

Waymo is seeking a hybrid role to build and operate petabyte-scale data systems and machine learning pipelines. The ideal candidate will have strong software engineering skills, proficiency in Python and C++, and experience with large-scale data infrastructure.

Responsibilities include shepherding foundation models and collaborating with AI experts to improve products. The expected salary range is $213,000 to $263,000 annually, along with comprehensive benefits.