Member of Technical Staff Foundation Models
OdysseyVisit Odyssey website
Odyssey is an AI lab building general-purpose world models that understand and simulate physical and virtual environments.
Palo Alto, United States
Funding history
About Odyssey
Odyssey Systems, Inc. develops foundation world models for applications including robotics, autonomous driving, AI training, drones, and gaming. Its current public work includes Odyssey-3, Starchild-1, Agora-1, and PROWL-1.
Skills
About the Role
You will study how data, architecture, scale, and diffusion algorithms affect real-time world models. You will run scaling studies, own distributed training runs, implement machine-learning algorithms and metrics, optimize GPU efficiency, and work across data, training, inference, and evaluation systems.
Requirements
- At least two years of software engineering experience with significant ML performance work
- At least four years of ML engineering experience or a related PhD
- Experience training large models and pretraining at multi-node scale
- Knowledge of scaling laws, compute budgets, and data budgets
- Experience owning projects end to end
- Proficiency with PyTorch, TensorFlow, or JAX
Responsibilities
- Run scaling studies across model size, data, and compute
- Own large-scale distributed world-model training
- Implement machine-learning algorithms and define metrics
- Iterate on leaderboards
- Work across data pipelines, tokenizers, training, inference, and evaluation
- Optimize training and inference efficiency on modern GPUs
- Maintain core machine-learning frameworks