Member of Technical Staff, ML Platform Engineer
On site
England, United Kingdom
Full Time
24-03-2025
Job Specifications
Odyssey is pioneering world models, the next frontier of artificial intelligence. By learning from the real-world, Odyssey is training a new kind of generative model, capable of generating cinematic, interactive worlds in real-time. Odyssey's mission is to reinvent film, gaming, and beyond.
Odyssey was founded in late 2023 by Oliver Cameron (Cruise, Voyage) and Jeff Hawke (Wayve, Oxford AI PhD), two veterans of self-driving cars and AI. They've since recruited a world-class team of AI researchers from Cruise, Waymo, Wayve, Tesla, Microsoft, Meta, and NVIDIA; lead computer graphics researchers from EA, Ubisoft, and Valve; and technical artists behind Hollywood blockbusters like Dune, Godzilla, Avengers, and Jurassic World.
Odyssey has raised significant venture capital from GV, EQT Ventures, Air Street Capital, DCVC, Elad Gil, Garry Tan, Soleio, Jeff Dean, Kyle Vogt, Qasar Younis, Guillermo Rauch, Soumith Chintala, and researchers from OpenAI, DeepMind, Meta, and Midjourney. Ed Catmull, the founder of Pixar, serves on Odyssey's board.
The Role
We"re seeking an ML Performance & Platform engineer to design and implement our ML/data platform strategy. This role has different titles at many companies and will be a mix of building the infrastructure, tooling, and data pipelines that enable our researchers to efficiently work with multimodal data (images, video, 3D, and more), conduct experiments, and seamlessly move models to production. You"ll have significant autonomy in technical decisions and the opportunity to grow into a technical leadership role as we scale.
A Typical Week
Design and implement scalable data pipelines for processing large-scale multimodal datasets
Collaborate with ML researchers to optimize data preprocessing and training workflows
Make key architectural decisions about our data platform infrastructure
Improve our Kubernetes-based data processing, training, and serving infrastructure
Core Responsibilities
Design and implement our Kubernetes-based ML data platform from the ground up
Build scalable data pipelines that support both research experimentation and production deployment
Create systems for dataset versioning, experiment tracking, and model lifecycle management
Develop tools and interfaces that make it easy for researchers to find, enrich, and version multimodal data
Establish best practices for reproducibility and production readiness
Collaborate closely with ML researchers to understand and optimize their workflows
Technical Scope
Work with large-scale multimodal datasets, including video, 3D scenes, real-world scans, gaussian splats, video, and images. (PB-scale)
Design and manage multi-node, multi-cloud Kubernetes clusters for distributed training
Implement monitoring and observability for ML workflows
Support real-time inference requirements for creative tools and experiences
Required Skills & Experience
5+ years of software engineering experience, with significant work in data platforms
Strong Python development and system design expertise
Deep experience with data pipeline development and ETL processes
Production Kubernetes experience and container orchestration expertise
Hands-on experience with data-oriented ML infrastructure tools (experiment tracking, feature stores, model registries)
Proficiency with cloud platforms (AWS/GCP/Azure)
Experience with data versioning and experiment tracking systems
Understanding of ML workflows and researcher needs
Ideal Qualities
Self-directed and comfortable with ambiguity
Strong bias for action and pragmatic problem-solving
Track record of extreme ownership in technical projects
Excellent communication skills, especially with technical stakeholders
Experience building systems from scratch in fast-paced environments
Passion for enabling ML research and production excellence
Nice to Have
Experience with video, image, or 3D data pipelines for ML/AI
Experience with distributed computing frameworks (we use Ray) or workflow orchestration (we use Flyte)
Familiarity with vector databases (e.g., LanceDB) and similarity search
Familiarity with technical creative tools used in computer graphics, VFX, or gaming industries
Experience at AI/ML companies or research labs
Contributions to open-source data/ML tools
Experience building researcher-facing tools
Growth Opportunities
Help build our data platform engineering team as we scale
Define our technical strategy for data platform and infrastructure
Establish key partnerships with data platform framework open source projects and vendors
Shape our technical hiring strategy
Deep engagement with the broader data and ML infrastructure community
PI266123871
About the Company
Odyssey is a trusted IT provider, offering communication solutions with a difference. Working with the latest cutting edge technology, we have one mission: to make Technology an asset for each and every one of our customers. We pride ourselves on making sure that every business we work with gets the right solution for them, providing high performing and easy-to-use systems that makes them as efficient as they should be. Plus, we make sure our customers are looked after in the long term, with ongoing staff training and dedi... Know more
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