Роль четко определена с акцентом на передовые технологии ИИ, а зарплата соответствует рыночным ожиданиям, что делает эту вакансию привлекательной.
Высокая зарплата
Передовые технологии
Четкие обязанности
Продуктовая компания
?Гибридный формат
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Текст:
Hirify AI/Оригинал
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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