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- 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 role with competitive salary and opportunities for professional growth.
- Why this job: Be a pioneer in redefining generative media and make a real impact.
- Qualifications: Deep expertise in machine learning and a passion for exploratory research.
- Other info: Collaborative lab environment that values creativity and autonomy.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Odyssey is an AI lab pioneering interactive video modelsâmodels that dream video you can interact with in realâtime. This new form of generalâpurpose intelligence will power the next generation of gaming, education, companionship, simulation, and advertising, and unlock entirely new consumer, enterprise, and intelligence applications.
We are looking for a deeply technical and creative researcher who thrives on invention: someone excited to redefine whatâs possible in generative media. Youâre motivated by the unknown, energized by turning abstract ideas into concrete systems, and comfortable bridging the gap between research and product. Youâre excited by the chance to pioneer interactive video models capable of realâtime generation, understanding, and interactivity.
What youâll do:
- Pursue original research into the foundations of generative interactive video: representation, temporal coherence, causality, control, and longâhorizon 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 todayâs diffusion and transformer approaches.
- Develop conceptual frameworks and experimental systems that deepen our understanding of how models perceive and respond to user intent and realâworld 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 staffâlevel 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 longâhorizon, 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 whatâs 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 mediumâhelping define how AI perceives, learns, and interacts through pixels over the next decade.
Seniority level: MidâSenior level
Employment type: Fullâtime
Job function: Engineering and Information Technology
Industries: Research Services
Member of Technical Staff, Research Scientist in London employer: Odyssey
Contact Detail:
Odyssey Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Member of Technical Staff, Research Scientist in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Odyssey. A friendly chat can open doors that applications alone can't.
â¨Tip Number 2
Show off your passion! When you get the chance to speak with someone from the company, share your excitement about generative media and interactive video models. Let them see your enthusiasm!
â¨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and algorithms. Be ready to discuss your past research and how it relates to what Odyssey is doing.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Member of Technical Staff, Research Scientist in London
Some tips for your application đŤĄ
Show Your Passion: Let your enthusiasm for generative media shine through in your application. We want to see how excited you are about redefining what's possible and how your unique experiences can contribute to our mission.
Be Specific About Your Research: When detailing your research experience, be specific about the projects you've worked on. We love to see concrete examples of your contributions and how they relate to interactive video models or generative AI.
Tailor Your Application: Make sure to tailor your CV and cover letter to highlight the skills and experiences that align with our job description. We appreciate when applicants take the time to connect their background with what weâre looking for.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity at Odyssey.
How to prepare for a job interview at Odyssey
â¨Know Your Research Inside Out
Before the interview, dive deep into your past research and be ready to discuss it in detail. Be prepared to explain your methodologies, findings, and how they relate to generative interactive video. This shows your passion and expertise, which is crucial for a role that thrives on invention.
â¨Bridge Theory and Practice
Since the role involves turning abstract ideas into concrete systems, think of examples where you've successfully bridged theory and practice. Prepare to discuss how youâve taken theoretical concepts and developed them into practical applications, especially in machine learning or video synthesis.
â¨Collaborate and Communicate
Collaboration is key in a small lab environment. Be ready to share experiences where you worked closely with engineering teams or other researchers. Highlight your communication skills and how youâve contributed to a positive scientific culture, whether through mentoring or publishing.
â¨Stay Curious and Open-Minded
Show your enthusiasm for exploring new architectures and training paradigms. Prepare questions about the companyâs current projects and express your eagerness to tackle unsolved questions in generative media. This will demonstrate your motivation and fit for a role that values deep thinking and innovation.