As an Applied AI Engineer, you will collaborate with quantitative investment firms to implement OpenAI's models and Codex, driving impactful AI solutions in their workflows.
Research Engineer, Neural Rendering
📜 Description
- Create the next generation of multi-sensor rendering systems for autonomous driving.
- Collaborate with a team of multidisciplinary Research Scientists and Engineers.
- Build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data.
- Work on shipping next-generation simulation software using cutting-edge techniques.
- Contribute to high-impact research papers submitted to top conferences or journals.
🛠️ Requirements
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.
- Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).
- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.
✨ Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals.
- Regularly scheduled team building activities and social events.
Full job description
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.
- Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.
- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.
- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L).
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.
- Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.
- Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).
- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.
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