Senior ML Engineer - Perception LLM/VLM, Equity & Bonus

Waymo; San Francisco (CA); On-site; USD 204,000 - 259,000; Full time

Benefits offered by this job

Annual bonus program

Equity incentive plan

Generous benefits program

Job summary

A leading autonomous driving technology company in San Francisco is seeking a Machine Learning Engineer to optimize and develop large-scale model training pipelines for foundation models. The ideal candidate has over 5 years of experience in Machine Learning, with strong expertise in LLM/VLM pre-training. This position offers a competitive salary range of $204,000 to $259,000 and additional benefits such as annual bonuses and equity incentives.

Qualifications

• 5+ years of experience in Machine Learning, focusing on large-scale model development.
• Proven expertise in LLM/VLM pre-training and continual learning.
• Hands-on experience with model training and deployment.

Responsibilities

• Design and optimize large-scale continual pre-training pipelines for VLM foundation models.
• Conduct research on novel pre-training techniques for multimodal data streams.
• Develop metrics for evaluating performance and transferability of models.

Skills

Machine Learning

Large-scale model development

Python programming

Deep learning frameworks

Education

Master's degree in Computer Science or related field

Tools

Jax

TensorFlow

PyTorch

Job description

A leading autonomous driving technology company in San Francisco is seeking a Machine Learning Engineer to optimize and develop large-scale model training pipelines for foundation models. The ideal candidate has over 5 years of experience in Machine Learning, with strong expertise in LLM/VLM pre-training. This position offers a competitive salary range of $204,000 to $259,000 and additional benefits such as annual bonuses and equity incentives.