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2 months ago

Staff Technical Lead Manager (AI)

238 000 - 302 000$
Work format
hybrid
Work type
fulltime
Grade
lead
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Staff Technical Lead Manager (AI): Leading a top-tier applied ML team to build models for autonomous vehicle behavior understanding and evaluation with an accent on deep learning, Gen AI, and large-scale production systems. Focus on designing LLM/VLM solutions for anomaly detection, optimizing model performance for expansive fleets, and driving technical direction across cross-functional teams.

Location: Hybrid work schedule in Mountain View, CA; San Francisco, CA; or New York City, NY

Salary: $238,000–$302,000 USD

Company

Waymo is an autonomous driving technology company dedicated to building the world's most experienced driver to improve mobility and safety.

What you will do

  • Lead an applied ML team focused on AV behavior understanding using deep learning and Gen AI.
  • Design and build Gen AI LLM/VLM solutions for behavior analysis and anomaly detection.
  • Enhance user feedback analysis by implementing tools for sentiment assessment and root cause analysis.
  • Oversee the production and optimization of ML models for a fleet traveling millions of miles.
  • Drive technical direction and provide guidance to the team.
  • Collaborate with PMs and senior leadership to align technical agendas with business objectives.

Requirements

  • B.S. in Computer Science, Robotics, Machine Learning, or equivalent experience.
  • 5+ years of experience leading engineering teams of 5-15 people.
  • 7+ years of hands-on experience in machine learning projects and production deployment.
  • Strong coding experience in C++ and/or Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Expertise in deep learning models and ML deployment at scale.

Nice to have

  • M.S. or Ph.D. in Computer Science or a related quantitative field.
  • Deep learning experience with Transformers.
  • Gen AI LLM/VLM experience.
  • Experience with MLOps, evaluation techniques, and model performance optimization.
  • Large-scale data processing and analytical skills.

Culture & Benefits

  • Participation in discretionary annual bonus program.
  • Equity incentive plan.
  • Generous company benefits program.
  • Collaborative environment working on cutting-edge autonomous driving technology.

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