W
source · wttj·req · jb_96c8230def·listed 2d ago
Staff Machine Learning Engineer (Simulation)
Waymo·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjSalary disclosed
compensation · disclosed
$145,000 — $157,000
source · wttj
Summary
the pitchJoin Waymo, a leader in autonomous vehicle technology, as a Staff Machine Learning Engineer. In this role, you will lead the development of advanced deep learning and machine learning models, enhance user feedback analysis, oversee the production and optimization of machine learning models, and collaborate closely with multiple teams. You will have the opportunity to make a significant impact on the performance of our technology stack and contribute to the future of transportation.
Role
posted by company- 5+ years of experience with hands-on experience in machine learning projects
- Strong coding experience in C++ and/or Python
- Experience in at least one of: Foundational Models, VLM, Deep Learning
- B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
- Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale
- Large-scale data processing and analytical skills
- Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization
- Deep learning experience with Transformers
- M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning
Key responsibilities
- Lead the development of cutting-edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows.
- Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system.
- Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.