Senior Software Engineer, AI Simulation
2 weeks ago
Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has concentrated on creating the Waymo Driver—The World's Most Experienced DriverTM—to enhance mobility access while preventing countless traffic-related fatalities. The Waymo Driver is the backbone of Waymo One, a fully autonomous ride-hailing service, and is adaptable to various vehicle platforms and applications. With over one million rider-only trips facilitated by its extensive experience of driving autonomously across tens of millions of miles on public roads and simulating tens of billions of miles in controlled environments across more than 13 U.S. states, Waymo is at the forefront of the industry.
The Driver Understanding and Evaluation (DUE) team at Waymo is focused on developing comprehensive metrics to assess the Waymo Driver's performance in real-world scenarios. This team integrates advanced technologies to evaluate the Waymo Driver's behavior effectively.
The DUE Machine Learning team is seeking to merge human insights with deep learning models to generate training and evaluation data for a multitude of metrics and components that define the Waymo Driver. We are in search of researchers and software engineers who are enthusiastic about advancing computer vision and machine learning methodologies for our autonomous vehicle evaluation systems, and who are dedicated to enhancing the performance of our technological framework.
Your Responsibilities:
- Lead the innovation and refinement of state-of-the-art computer vision algorithms and machine learning models to optimize human-led triaging and automate high-volume processes.
- Develop Reinforcement Learning strategies based on industry best practices and human preference data collection and evaluation systems.
- Enhance User Feedback Analysis by collaborating with product and business teams to create and implement tools for multi-label classifications, sentiment analysis, comment summarization, root cause analysis, and trend analysis of rider feedback.
- Steer technical direction and provide valuable technical insights and guidance to the team.
- Collaborate with various teams (e.g., Prediction, Planning, Research, PMs, TPMs), other technical leads, and senior leadership across Waymo to drive significant strategic initiatives.
- B.S. in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
- Proficiency in coding with C++ or Python.
- Experience in at least one of the following areas: Computer Vision, Foundational Models, NLP, or Robotics.
- 5+ years of hands-on experience in computer vision and machine learning projects.
- Familiarity with ML frameworks such as TensorFlow, PyTorch, and Hugging Face's transformers, along with expertise in deep learning models and large-scale ML deployment.
- M.S. or Ph.D. in Computer Science or a related quantitative field with a focus on machine learning.
- Experience in developing tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
- Strong skills in large-scale data processing and analysis.
The expected base salary range for this full-time position across US locations is provided below. Actual starting pay will depend on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can provide more details about the specific salary range for the role location or, if the role is 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 comprehensive Company benefits program, subject to eligibility requirements.
Salary Range
$226,000 - $286,000 USD
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