Über
This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer.
You will:
Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo's systems, both onboard autonomous vehicles and offboard in simulation
Drive the development or significantly contribute to end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire life-cycle from pre-training and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents
Partner with cross-functional teams within the organization to land innovative tech in production
Implement and extend large large scale data and evaluation pipelines.
You have:
Bachelor or Master's degree in Computer Science, similar technical field of study, or equivalent practical experience
Experience in ML engineering and applied Deep Learning
Experience with large scale distributed system
Proficient programming skills (eg: Python, C/C++)
We prefer:
ML infra experience: training, evaluating and deploying ML models at scale
Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning
Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow)
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. Salary Range $204,000—$259,000 USD
Sprachkenntnisse
- English
Hinweis für Nutzer
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