Develop and implement cutting-edge 3D representation and machine learning models that generate sophisticated 3D scenes and objects, ranging from intricate details to expansive environments, and bring these techniques into real-world applications.
Requirements
- Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of generative models and 3D representations.
- Deep expertise in at least one area of computer graphics, 3D reconstruction, neural rendering, generative AI for vision, or related fields.
- Proven ability to deliver high-quality 3D projects that involve complex object and scene generation.
- Strong coding proficiency in Python and experience with GPU-accelerated computing.
- Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).
- Experience integrating machine learning models into production environments.
- Experience writing custom graphics or rendering related CUDA operators for use in ML frameworks such as PyTorch
Responsibilities
- Develop and implement state-of-the-art 3D representations and machine learning models to accurately capture and generate detailed 3D structures.
- Design and model small to large-scale objects and complex scenes, applying computer vision, graphics, and generative AI techniques.
- Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.
- Continuously explore and integrate cutting-edge research in 3D modeling and generative AI.
- Act as a key technical resource within the team, mentoring colleagues, and driving best practices in 3D modeling and ML engineering.
Other
- 3+ years of experience in 3D models, graphics, or applied ML roles, ideally within startup or fast-paced research environments.
- Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.
- Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.
- Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.
- Strong academic track record or demonstrated expertise in 3D modeling, machine learning and/or rendering.
