Senior Staff ML Engineer - Autonomy & Gen AI

Waymo

Mountain View (CA)

On-site

USD 238,000 - 302,000

Full time

14 days+

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Job summary

Waymo is seeking researchers and software engineers to advance the Waymo Driver through scalable ML systems and evaluation tools. You will lead DL/ML model development and automate high-volume workflows, while designing Gen AI LLM/VLM solutions for driving behavior analysis and anomaly detection.

You will monitor best practices from Alphabet and the industry to improve evaluation pipelines, and collaborate with product and business teams on multi-label classifications, sentiment analysis, and

Qualifications

  • B.S. in Computer Science, Robotics, Machine Learning, or equivalent practical experience.
  • 7+ 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.
  • Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale.

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.
  • Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection.
  • Proactively monitor and assimilate best practices to develop advanced evaluation and data collection systems.
  • Enhance User Feedback Analysis with multi-label classifications, sentiment analysis, comment summarization, root cause analysis and trend analysis.
  • Oversee the production and optimization of machine learning models powering Waymo's fleet.

Skills

C++/Python
Machine Learning
Foundational Models
VLM/Deep Learning
ML Frameworks

Education

B.S. in CS/Robotics/ML

Tools

TensorFlow
PyTorch
Hugging Face Transformers

Job description

Waymo is seeking researchers and software engineers to advance the Waymo Driver through scalable ML systems and evaluation tools. You will lead DL/ML model development and automate high-volume workflows, while designing Gen AI LLM/VLM solutions for driving behavior analysis and anomaly detection.

You will monitor best practices from Alphabet and the industry to improve evaluation pipelines, and collaborate with product and business teams on multi-label classifications, sentiment analysis, and

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