Senior Research Scientist, Sensor Simulation (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Research Scientist, Sensor Simulation (AI): Developing machine learning solutions for large-scale 3D dynamic scene reconstruction and synthesis to power autonomous vehicle simulations with an accent on 3D Gaussian Splatting and generative models. Focus on scaling state-of-the-art ML reconstruction methods and productionizing simulation solutions within the ecosystem.
Location: Hybrid in Mountain View, California
Salary: $213,000—$263,000 USD
Company
is an autonomous driving technology company with the mission to be the world's most trusted driver.
What you will do
- Solve research problems in 3D dynamic scene reconstruction and synthesis using generative models.
- Scale and adapt 3D Gaussian Splatting and other ML reconstruction methods for AV simulation.
- Prototype research ideas using internal driving data.
- Collaborate with engineering teams to productionize simulation solutions.
- Present and potentially publish findings to internal and external research communities.
Requirements
- Master’s or PhD in Computer Science, AI, ML, or similar discipline.
- 3+ years of experience in a related field.
- In-depth expertise with 3D Gaussian Splatting (3DGS) and/or other learning-based 3D reconstruction methods.
- Experience with generative image/video/world models.
- Strong ML software engineering skills in Python for rapid prototyping.
- Familiarity with major ML frameworks such as JAX, TensorFlow, or PyTorch.
Nice to have
- Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, or CoRL.
- Hands-on experience productionizing and scaling ML solutions.
- Strong fundamentals in 3D vision and/or computer graphics.
- Domain experience in the autonomous vehicle or simulation space.
Culture & Benefits
- Hybrid work schedule.
- Discretionary annual bonus program.
- Equity incentive plan.
- Generous company benefits program.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →