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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 generative media.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid career growth.
- Why this job: Join a passionate team shaping the future of AI in gaming and education.
- Qualifications: Experience in large-scale machine learning systems and a passion for innovation.
- Other info: Be part of a small, agile team where your ideas can quickly become reality.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Member of Technical Staff, Research Engineer role at Odyssey. Be among the first 25 applicants.
Who we are
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.
What we’re looking for
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 employer: Odyssey
Contact Detail:
Odyssey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, Research Engineer
✨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 or GitHub with projects related to machine learning or video generation, make sure to highlight that in conversations. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in AI and machine learning. Practice common algorithms and system design questions to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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
Some tips for your application 🫡
Show Your Passion for Building: When you're writing 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 optimisations you've implemented.
Connect Research to Product: We value engineers who bridge the gap between research and practical applications. 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 the 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.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some ambiguous technical challenges during the interview. Think of examples where you’ve had to think on your feet or come up with creative solutions. Odyssey values engineers who can bridge research and product, so demonstrate how you’ve done this in past roles.
✨Collaborate and Communicate
Since you'll be working closely with researchers and product engineers, highlight your teamwork skills. Share experiences where you’ve collaborated effectively in small teams, and how you’ve contributed to shaping a positive engineering culture. Communication is key, so practice articulating your thoughts clearly.
✨Be Ready to Iterate
Odyssey moves fast, so be prepared to discuss how you handle rapid iteration and feedback. Share examples of how you’ve taken experiments from concept to demo to product. This will show that you’re aligned with their fast-moving, research-driven approach and are excited about building the next generation of generative media.
