Onboard Vision-Language ML Engineer

Waymo LLC; Mountain View (CA); Sur place; USD 170 000 - 216 000; Plein temps

Avantages offerts par ce poste

Annual bonus

Equity incentive

Benefits program

Résumé du poste

Waymo LLC in Mountain View, CA, is seeking a research-focused engineer to architect and train large-scale onboard ML perception models that underpin the Waymo Driver’s safety and real-time performance within strict compute limits.

You will drive cross-functional collaboration to develop robust training pipelines, apply multimodal vision-language and transformer-based architectures, and contribute to a vibrant, inclusive team culture that values diverse backgrounds while delivering cutting-edge

Qualifications

• BS or MS in Computer Vision, Machine Learning, Robotics, or a related field.
• Fluency in Python or C++, with PyTorch or Jax for matrix manipulation and module implementation.
• Deep understanding and proven practical experience with model distillation frameworks and quantization techniques for real-time compute constraints.
• Hands-on experience building, training, or deploying Multimodal Foundation Models or Vision-Language Models (VLMs).

Responsabilités

• Architect and train large-scale onboard ML perception models that are instrumental to ensuring vehicle safety and regulatory compliance.
• Drive cross-functional collaboration to engineer robust, high-reliability training pipelines within a dynamic, rapid-delivery environment.
• Leverage deep computer vision expertise to design novel, custom architectures from first principles to solve complex perception challenges.
• Contribute to a vibrant and positive team culture where diverse skill sets and backgrounds are valued.

Connaissances

Python

C++

PyTorch

Jax

Model distillation

Quantization

Multimodal Foundation Models

Vision-Language Models

Formation

BS in Computer Vision, ML, Robotics

MS in Computer Vision, ML, Robotics

Description du poste

Waymo LLC in Mountain View, CA, is seeking a research-focused engineer to architect and train large-scale onboard ML perception models that underpin the Waymo Driver’s safety and real-time performance within strict compute limits.

You will drive cross-functional collaboration to develop robust training pipelines, apply multimodal vision-language and transformer-based architectures, and contribute to a vibrant, inclusive team culture that values diverse backgrounds while delivering cutting-edge