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Текст:
Hirify AI/Оригинал
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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