Sundayy
Machine Learning Engineer
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About The Company
Waymo is a pioneering autonomous driving technology company dedicated to transforming mobility. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been committed to creating the most trusted driver in the world—the Waymo Driver. The company's mission centers on enhancing access to mobility solutions while significantly reducing traffic-related fatalities. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed, Waymo's autonomous vehicles have collectively driven over 100 million miles on public roads across more than 15 U.S. states, complemented by tens of billions of miles in simulation. This extensive experience underscores Waymo’s leadership in autonomous vehicle technology and its ongoing efforts to improve safety, accessibility, and efficiency in transportation.
About The Role
We are seeking a highly skilled and innovative Machine Learning Researcher or Software Engineer to join the DUE ML Core London team at Waymo. In this role, you will be instrumental in developing advanced machine learning systems, simulation workflows, and insight tools that enhance the evaluation and onboarding processes for the Waymo Driver. Your work will involve building scalable models for training and fine-tuning large-scale generative models aimed at producing realistic driving behaviors and evaluating their performance. You will lead the implementation and iteration of novel reinforcement learning algorithms, reward functions, and training paradigms tailored specifically for autonomous driving applications. Additionally, you will develop cutting-edge deep learning and generative AI solutions, including large language models and vision-language models, to automate workflows, improve anomaly detection, and analyze driving behaviors with high precision. Your contributions will directly impact Waymo’s ability to evaluate and improve its autonomous vehicle fleet, driving innovation and safety in the autonomous driving industry.
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Qualifications
- M.S. or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
- 7+ years of hands-on experience developing and applying machine learning models, with a strong focus on reinforcement learning
- Demonstrated expertise in deep learning, sequence modeling, and generative models
- Strong publication record or impactful project delivery in reinforcement learning or related areas
- Proficiency in Python and standard ML frameworks such as JAX and TensorFlow
- Experience with large-scale distributed training and data processing pipelines
- Proven ability to lead complex, ambiguous technical projects from conception to successful completion
Responsibilities
- Design and develop scalable systems for training and fine-tuning large generative models to simulate realistic driving behaviors
- Lead the implementation and refinement of novel reinforcement learning algorithms, reward functions, and training paradigms tailored for autonomous driving
- Develop advanced deep learning and generative AI solutions, including large language models and vision-language models, to automate workflows and enhance behavioral analysis
- Oversee the production, deployment, and optimization of machine learning models for evaluating Waymo’s extensive vehicle fleet
- Monitor industry best practices and incorporate them into the development of reinforcement learning from human preferences (RLHF) systems
- Collaborate with cross-functional teams such as Prediction, Planning, and Research to deliver strategic ML solutions
- Engage with senior leadership to communicate technical insights and influence project directions
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Benefits
- Competitive salary within the range of £155,000—£163,000 GBP, commensurate with experience and skills
- Participation in Waymo’s discretionary annual bonus program and equity incentive plan
- Comprehensive benefits package including health, dental, and vision insurance
- Generous paid time off and holiday leave
- Opportunities for professional development and continuous learning
- Collaborative and innovative work environment focused on cutting-edge autonomous vehicle technology
Equal Opportunity
Waymo is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to these factors. We encourage individuals from all backgrounds to apply and join our mission to revolutionize mobility through innovation and safety.
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