Member of Technical Staff, Research in London

Member of Technical Staff, Research in London

London Full-Time 59400 - 72600 £ / year (est.) No working from home possible
Odyssey

At a Glance

  • Tasks: Conduct groundbreaking research in generative interactive video and develop innovative algorithms.
  • Company: Join Odyssey, an AI lab at the forefront of interactive video technology.
  • Benefits: Full-time position with opportunities for mentorship and collaboration in a dynamic environment.
  • Other info: Work in a focused lab that values creativity, autonomy, and collaboration.
  • Why this job: Be a pioneer in redefining generative media and make a real impact on future technologies.
  • Qualifications: Deep expertise in machine learning and a passion for original research.

The predicted salary is between 59400 - 72600 £ per year.

Odyssey is an AI lab pioneering interactive video models—models that dream video you can interact with in real‑time. This new form of general‑purpose intelligence 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 a deeply technical and creative researcher who thrives on invention: someone excited to redefine what’s possible in generative media. You’re motivated by the unknown, energized by turning abstract ideas into concrete systems, and comfortable bridging the gap between research and product. You’re excited by the chance to pioneer interactive video models capable of real‑time generation, understanding, and interactivity.

What you'll do:

  • Pursue original research into the foundations of generative interactive video: representation, temporal coherence, causality, control, and long‑horizon imagination.
  • Formulate and own an independent research agenda: identifying unsolved questions, designing hypotheses, and developing algorithms that could redefine what these models can do.
  • Explore new architectures, learning objectives, and training paradigms that move beyond today’s diffusion and transformer approaches.
  • Develop conceptual frameworks and experimental systems that deepen our understanding of how models perceive and respond to user intent and real‑world dynamics.
  • Collaborate closely with our engineering and infrastructure teams to turn foundational insights into prototypes that demonstrate new capabilities, not just incremental improvements.
  • Contribute to the scientific culture of the lab: publishing, mentoring, and engaging with the broader research community to shape the field of interactive generative models.

Who you are:

  • A staff‑level or senior researcher with deep expertise in machine learning and a track record of original contributions to generative modeling, video synthesis, multimodal learning, or related areas.
  • Experienced in conducting long‑horizon, exploratory research that produces conceptual and algorithmic breakthroughs beyond scaling improvements alone.
  • Comfortable working from first principles: defining new problems, designing experiments to test them, and building minimal systems to prove what’s possible.
  • Motivated by understanding as much as by performance: you care about how and why models work, not only that they do.
  • Thrives in a small, focused lab environment that values autonomy, deep thinking, and tight research collaboration.
  • Passionate about establishing the scientific underpinnings of a new medium—helping define how AI perceives, learns, and interacts through pixels over the next decade.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Information Technology

Industries: Research Services

Member of Technical Staff, Research in London employer: Odyssey

At Odyssey, we pride ourselves on being an innovative AI lab that fosters a collaborative and intellectually stimulating work environment. Our culture encourages autonomy and deep thinking, allowing researchers to explore groundbreaking ideas in generative media while contributing to the scientific community. Located in London, we offer unique opportunities for professional growth and the chance to be at the forefront of redefining interactive video technology.

Odyssey

Contact Details:

Odyssey Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Member of Technical Staff, Research in London

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We think you need these skills to ace Member of Technical Staff, Research in London

Machine Learning
Generative Modeling
Video Synthesis
Multimodal Learning
Research Methodology
Algorithm Development
Experimental Design

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Odyssey, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Odyssey. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Odyssey

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Odyssey!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.