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About the Role
Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We are a fast-moving team tackling challenging problems at the intersection of AI, robotics, and embodied intelligence. This role offers the opportunity to make an outsized impact from day one.
Responsibilities
- Own one scoped project in ML Performance, AI Infrastructure, ML Operations, Data, Robotics, Simulation, or World Models with a mentor and a deliverable.
- Work in the same repositories, on the same clusters, and against the same data as the rest of the technical staff.
- Ship one artifact the team keeps using, such as a dataset, benchmark, evaluation, or tool, and document findings and future recommendations.
Requirements
- Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field, or currently pursuing one.
- Deep understanding of machine learning fundamentals (optimization, generalization, architectures) or systems fundamentals (operating systems, networking, parallel computing).
- Proficiency in Python programming.
- Experience building and debugging a non-trivial system end-to-end independently.
- Ability to identify a preferred work area and propose a concrete project plan for building or measuring within that area.
Skills
- Machine Learning
- Python
- Data Pipelines
- Training Infrastructure
- Simulation Tooling
- Generative Models
- Robot Learning
- GPU Kernels
- CUDA
- Triton
- Physics Engine
- MuJoCo
- Newton
- Robot Hardware
- Open-source Contribution
- Competitive Programming
Location
- Toronto
- Mountain View
- Zürich
- Singapore
Work Type
- Hybrid
Education Level
- Bachelor's degree or equivalent hands-on experience
About the Company
- Veeda AI is building the next generation of multimodal foundation world models for Physical AI.
- The team consists of engineers and researchers from leading AI labs.
- The company focuses on challenging problems at the intersection of AI, robotics, and embodied intelligence.