Waymo is looking to improve the efficiency and efficacy of its multi-modal models and techniques for the Waymo Driver.
Requirements
- Experience in ML-related software development
- Experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment
- Experience with computer vision models, or LLMs, or vision language models
- Experience in LLM and / or multi-modality LM pretraining and fine-tuning, and their infrastructure
- Experience in model distillation techniques and infrastructure
- Familiarity with vision-based models and their development challenges
Responsibilities
- Design, set the roadmap, and implement the multi-stage training system that builds the foundation models and onboard models
- Optimize end-to-end training latency, to meet our release cadence while minimizing time-to-impact from new issues in the field to model update on the car
- Solve large-scale training with multi-model, multi-task, and large models, with millions of miles of driving data
- Provide technical leadership on the efficacy and efficiency of production critical models’ training system
- Drive and accelerate collaborations between Perception, infra teams at Waymo, and Alphabet collaborators
Other
- Master’s degree or PhD in Computer Science, Engineering, or a related technical field
- 8+ years of experience in ML-related software development
- 6+ years of experience in ML-driven production systems
- 4+ years of experience in a technical leadership role leading technical teams and setting technical directions
- Passion to drive engineering excellence and efficient model development through flywheel automation
- Agility in a fast-paced environment
