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- Tasks: Build and scale AI systems for interactive video models and collaborate on innovative projects.
- Company: Odyssey, an AI lab pioneering the future of audio-visual intelligence.
- Benefits: Competitive salary, health benefits, and a dynamic work environment.
- Why this job: Join a passionate team shaping the future of generative media with cutting-edge technology.
- Qualifications: Experience in large-scale machine learning systems and a passion for innovation.
- Other info: Fast-paced, collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Odyssey is an AI lab pioneering general‑purpose world models—a new form of audio‑visual intelligence. These models will power the next generation of gaming, education, companionship, simulation, and advertising, and unlock entirely new consumer, enterprise, and intelligence applications.
We’re looking for engineers who love the craft of building: people who write elegant, scalable machine learning code, care about performance, and deeply understand the research to shape it. You move fluidly between modeling and systems, are unafraid to tackle ambiguous technical challenges, and take pride in building the infrastructure and tools that make breakthroughs possible.
What you’ll do:
- Build and scale the training and inference systems that power Odyssey’s interactive video models, from large-scale distributed pipelines to real-time serving and optimization.
- Work shoulder‑to‑shoulder with researchers to prototype new architectures, diagnose and improve model behavior, and bring ideas from paper to production.
- Design high-performance data and compute systems for video generation and control, ensuring rapid iteration and efficient use of large-scale resources.
- Develop tools, metrics, and visualizations that help the team understand how models behave and evolve over time.
- Collaborate closely with product engineers to integrate Odyssey’s models into live, interactive user experiences that showcase new forms of generative media.
- Move fast and iterate often. You’ll be part of a small, focused team where experiments become demos, and demos become products.
- Contribute to shaping Odyssey’s engineering culture: pragmatic, fast-moving, research-driven, and always oriented toward what’s possible next.
Who you are:
- A staff‑level or senior engineer with experience in large‑scale machine learning systems, distributed training, performance optimization, or model deployment.
- Deeply technical and hands‑on: you find energy in writing code, optimizing kernels, and making systems faster, more reliable, and more elegant.
- Motivated by bridging research and product. You care as much about experimentation and insight as about performance and polish.
- Comfortable operating in areas without precedent, creating tools, frameworks, and patterns as you go.
- Thrives in small, collaborative teams where autonomy, clarity, and speed matter.
- Passionate about building the next generation of generative and interactive media. You are excited to help define how people create, play, and communicate through AI video.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Research Services
Location: London, England, United Kingdom
Member of Technical Staff, Research Engineer in London employer: Odyssey
Contact Detail:
Odyssey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Odyssey on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them in conversations. It’s a great way to demonstrate your hands-on experience and passion for building.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common algorithms and system design questions, as they’re likely to come up during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Odyssey team.
We think you need these skills to ace Member of Technical Staff, Research Engineer in London
Some tips for your application 🫡
Show Your Passion for Building: When you write your application, let your enthusiasm for engineering shine through! We want to see how much you love crafting elegant and scalable machine learning code. Share examples of projects where you've tackled technical challenges head-on.
Highlight Your Technical Skills: Make sure to showcase your experience with large-scale machine learning systems and distributed training. We’re looking for hands-on engineers, so don’t hold back on detailing your coding skills and any performance optimisation work you've done.
Connect Research with Product: We value candidates who bridge the gap between research and practical application. In your application, mention any experiences where you’ve taken ideas from concept to production, especially in interactive media or generative AI.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting role. Plus, it shows you’re keen on joining our team at Odyssey!
How to prepare for a job interview at Odyssey
✨Know Your Stuff
Make sure you brush up on your knowledge of large-scale machine learning systems and distributed training. Be ready to discuss specific projects you've worked on, especially those that involved performance optimisation or model deployment. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Your Passion for Building
During the interview, express your enthusiasm for writing elegant and scalable code. Share examples of how you've tackled ambiguous technical challenges in the past. This will demonstrate that you truly care about the craft of building and are excited about contributing to Odyssey’s engineering culture.
✨Collaborate and Communicate
Since the role involves working closely with researchers and product engineers, highlight your collaborative experiences. Talk about how you’ve successfully integrated models into live user experiences or how you’ve contributed to team projects. This will showcase your ability to work in small, focused teams where clarity and speed matter.
✨Be Ready to Iterate
Odyssey values rapid iteration, so be prepared to discuss how you approach experimentation. Share instances where you moved quickly from demos to products, and how you’ve used tools and metrics to understand model behaviour. This will illustrate your alignment with their fast-moving, research-driven environment.