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Описание вакансии
Текст:
TL;DR
Research Scientist, Map Scalability (AI/Computer Vision): Solving large-scale world-understanding problems for autonomous driving using VLMs, generative modeling, and 3D reconstruction with an accent on foundational research and rapid prototyping. Focus on scaling and productionizing ML solutions, collaborating with engineering teams, and presenting or publishing research findings.
Location: On site in Mountain View, California; San Francisco, California; or New York City, New York
Salary: $213,000–$263,000 USD annual base salary, plus potential bonus, equity, and benefits.
Company
Waymo develops autonomous driving technology and fully autonomous ride-hail services through the Waymo Driver.
What you will do
- Solve fundamental and applied world-understanding problems for autonomous driving using VLMs, generative modeling, and 3D reconstruction.
- Prototype and iterate on research ideas using internal driving data.
- Scale and productionize world-understanding solutions with engineering teams across Waymo.
- Present findings across Waymo and Alphabet and potentially publish results for the research community.
Requirements
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or a related discipline.
- 1–3+ years of experience in a related field.
- Expertise in foundational VLMs, computer vision, or learning-based 3D reconstruction methods such as 3DGS or NeRF.
- Strong ML software engineering skills in Python and C++ with rapid prototyping ability.
- Familiarity with JAX, TensorFlow, and PyTorch.
Nice to have
- Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, or CoRL.
- Experience productionizing and scaling ML solutions beyond the research stage.
- Fundamentals in 3D vision or computer graphics.
- Experience in autonomous vehicles or simulation.
Culture & Benefits
- Work with the AI Foundations team on machine learning solutions for safely operating autonomous vehicles in diverse cities and conditions.
- Opportunities to collaborate with research teams across Alphabet.
- Eligibility for a discretionary annual bonus, equity incentive plan, and company benefits program.
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