Member of Technical Staff
Odyssey
Member of Technical Staff
Odyssey
Generates interactive 3D worlds from 2D images
Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.
Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).
Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
We're seeking those who are obsessed with gaining every last drop of performance from complex systems. We're building inference infrastructure to scale to hundreds of thousands of users within a year, while also working with massive, ever-growing datasets and models in training. Your focus will be ensuring our models deliver exceptional speed, reliability, and scalability in both the training and inference phases, optimizing efficiency to minimize TFLOPS per user and training compute cost.
Optimize models that will be used in real-time by hundreds of thousands of users.
Design and implement distributed training strategies to reduce training time and resource consumption on large GPU clusters.
Partner with our elite team of ML researchers and engineers to ensure model architectures are highly performant from conception.
Develop sophisticated tools to identify performance bottlenecks and stability issues in both training and serving environments.
Pioneer innovative approaches, frameworks, and system designs that enhance performance metrics across our model development and inference infrastructure.
Have significant autonomy in technical decisions.
Use the latest-generation GPUs.
8+ years of software engineering experience, with significant work in ML performance.
Deep insight into modern machine learning architectures with a natural instinct for performance optimization, particularly distributed training and inference.
Track record of owning projects end to end.
Problem-solving mindset with the ability to acquire new skills as needed.
Proficiency with PyTorch (or TF/JAX) and Triton as well as NVIDIA GPU ecosystems and optimization stacks.
Highly metric-based.
Our staff is expected to be in office at least three times a week. A lot of our progress comes from working through problems together, and we want you in the room for that.
Odyssey builds artificial intelligence tools for creating and controlling 3D worlds. Its main product, Explorer, is a generative world model that turns a single 2D image into a complete, interactive 3D environment within minutes. The company uses a proprietary 360-degree, backpack-mounted camera to capture real-world data, which informs and fuels its AI models. This approach lets content creators in film and gaming generate high-quality, dynamic virtual environments that they can direct and edit. Odyssey differentiates itself by integrating real-world data capture with a world-model AI to streamline the production pipeline, instead of relying on traditional 3D modeling or manual scene creation. The company aims to empower creators to quickly produce immersive, controllable 3D worlds for storytelling and interactive media, typically through a licensing or subscription-based platform.
Explore more opportunities at Odyssey