Назад
6 часов назад

Staff Machine Learning Engineer(TLM), Driver Understanding and Evaluation

238 000 - 302 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Machine Learning Engineer (TLM), Driver Understanding and Evaluation (Deep Learning/LLM/VLM): Building scalable machine learning, data, and simulation systems to evaluate autonomous driving behavior, with an accent on deep learning, generative AI, human-feedback data, and large-scale model deployment. Focus on designing LLM/VLM solutions for anomaly detection, automating high-volume triage, analyzing rider feedback, and optimizing models across Waymo’s vehicle fleet.

Location: On site in Mountain View, California, United States

Salary: $238,000–$302,000 USD annual base salary, plus eligibility for an annual bonus, equity incentive plan, and company benefits.

Company

Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.

What you will do

  • Lead the development of deep learning and machine learning models for human-led triage and high-volume workflow automation.
  • Design and build generative AI, LLM, and VLM solutions for self-driving behavior analysis and anomaly detection.
  • Develop reinforcement learning systems based on human-preference data collection and evaluation.
  • Build user feedback analysis tools for classification, sentiment assessment, comment summarization, root cause analysis, and trend analysis.
  • Oversee production, scaling, and optimization of machine learning models evaluating Waymo’s vehicle fleet.
  • Set technical direction and collaborate with product managers, technical program managers, research, prediction, planning, and senior leadership teams.

Requirements

  • Bachelor’s degree in computer science, robotics, machine learning, or a similar technical field, or equivalent practical experience.
  • 7+ years of hands-on experience in machine learning projects.
  • Strong coding experience in C++ and/or Python.
  • Experience with foundational models, VLMs, or deep learning.
  • Experience with TensorFlow, PyTorch, or Hugging Face Transformers, including deep learning models and machine learning deployment at scale.

Nice to have

  • Master’s or Ph.D. degree in computer science or a related quantitative field specializing in machine learning.
  • 10+ years of hands-on machine learning experience.
  • Experience with Transformers, generative AI, LLMs, and VLMs.
  • Experience building applied machine learning tools, including MLOps, evaluation and validation techniques, and model performance optimization.
  • Large-scale data processing and analytical skills.

Culture & Benefits

  • Eligibility for a discretionary annual bonus program.
  • Equity incentive plan and company benefits program, subject to eligibility requirements.
  • Work focused on autonomous driving evaluation, simulation, and large-scale machine learning infrastructure.

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