Role at a glance
- Salary
- $175K – $215K/yr
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Experience building or maintaining large-scale data pipelines or ML infrastructure
- Education
- Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
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Role Summary
The AI Foundations team develops machine learning solutions for autonomous driving, including foundation models and related evaluation infrastructure. This hybrid role builds large-scale data systems and ML pipelines and helps move model innovations from research into the Waymo Driver and on-road improvements.
What You'll Do
- Build and operate petabyte-scale data systems and ML pipelines for foundation model development
- Shepherd foundation models from research prototypes to robust components within the Waymo Driver
- Create automated infrastructure for benchmarking, monitoring, and safely releasing models
- Use large-scale compute and frameworks like Flume and JAX to process datasets and train and deploy models
- Drive improvements in the speed, reliability, and efficiency of the ML development lifecycle
- Partner with AI Foundations, ML, and Platform experts to transform model innovations into on-road improvements
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Masters degree in Computer Science, Machine Learning, Robotics, or a similar technical field, or equivalent practical experience; proficiency in Python and C++; familiarity with a modern deep learning framework; experience with large-scale data pipelines or ML infrastructure.
Required
- Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
- Proficiency in Python
- Proficiency in C++
- Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
- Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow)
Preferred
- Strong hands-on SWE skills, able to drive development of large, complex shared codebases
- Experience in AV planning and related research
- Experience designing and building distributed systems or MLOps platforms (e.g., model versioning, experiment tracking, CI/CD for ML)
- Prior work in an industrial or research setting developing methodologies for the evaluation of ML models
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
In this hybrid role, you will report to a Senior Research Scientist.
You will:
- Build and operate the petabyte-scale data systems and ML pipelines at the heart of Waymo's foundation model development
- Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver
- Create the automated infrastructure for rigorously benchmarking, continuously monitoring, and safely releasing models
- Wield large-scale compute and frameworks like Flume and JAX to process massive datasets and train/deploy complex models
- Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle
- Partner with AI Foundations, ML, and Platform experts to transform model innovations into tangible on-road improvements
You have:
- Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
- Proficiency in Python
- Proficiency in C++
- Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
- Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow)
We prefer:
- Strong hands-on SWE skills, able to drive development of large, complex shared codebases
- Experience in AV planning and related research
- Experience designing and building distributed systems or MLOps platforms (e.g., model versioning, experiment tracking, CI/CD for ML)
- Prior work in an industrial or research setting developing methodologies for the evaluation of ML models
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.
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.