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Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (VLM/LLM): Building foundation-model evaluation systems, benchmarks, and large-scale data pipelines for autonomous driving with an accent on generative models, reinforcement learning, and embodied AI safety. Focus on designing end-to-end evaluations across pretraining, supervised fine-tuning, and reinforcement learning, deploying ML infrastructure at scale, and solving complex distributed-systems challenges.
Location: Hybrid work schedule with office locations in Mountain View, San Francisco, or New York City, United States
Salary: $238,000–$302,000 USD per year
Company
Waymo develops autonomous driving technology, including the Waymo Driver and fully autonomous ride-hail services.
What you will do
- Build foundation models used onboard autonomous vehicles and in simulation.
- Lead end-to-end evaluation systems and benchmarks for foundation models.
- Evaluate the quality, safety, and realism of embodied AI agents across pretraining, supervised fine-tuning, and reinforcement learning.
- Partner across organizations to bring innovative machine learning technology into production.
- Implement and extend large-scale data and evaluation pipelines.
Requirements
- Master’s or PhD degree in Computer Science, a similar technical field, or equivalent practical experience.
- 5+ years of experience in machine learning engineering and applied deep learning.
- Strong portfolio of shipped products or publication record.
- Experience with large-scale distributed systems.
- Proficiency in Python and C/C++.
- Strong analytical and debugging skills.
Nice to have
- ML infrastructure experience, including training, evaluating, and deploying models at scale.
- Experience with generative models such as LLMs/VLMs or reinforcement learning.
- In-depth knowledge of an ML framework such as PyTorch, JAX, or TensorFlow.
Culture & Benefits
- Health, dental, vision, life, and disability insurance.
- 401(k) retirement plan with company match.
- 20 vacation days per year, plus paid holidays and sick time.
- Maternity leave and baby bonding leave.
- Eligibility for annual bonus and equity incentive programs.
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