Member of Technical Staff, ML Engineer
Member of Technical Staff, ML Engineer

Member of Technical Staff, ML Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cutting-edge world models for immersive, real-time experiences.
  • Company: Join Odyssey, a trailblazer in AI, transforming film and gaming.
  • Benefits: Enjoy a full-time role with opportunities for innovation and collaboration.
  • Why this job: Be part of a visionary team redefining entertainment through AI technology.
  • Qualifications: Experience in ML and generative models is essential.
  • Other info: Work alongside industry leaders and contribute to groundbreaking projects.

The predicted salary is between 43200 - 72000 £ per year.

Join to apply for the role at Odyssey. 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. Founded in late 2023 by Oliver Cameron (Cruise, Voyage) and Jeff Hawke (Wayve, Oxford AI PhD), Odyssey has assembled a world-class team from leading AI and graphics companies and Hollywood studios. It has raised significant venture capital from prominent investors and has Ed Catmull, Pixar founder, on its board.

Who You Are
You’re a staff-level or higher engineer with experience in ML topics related to world models or broad generative ML in computer vision. You are passionate about translating state-of-the-art research into user-facing products.

What You’ll Do

  • Develop state-of-the-art world models for real-time, photorealistic worlds.
  • Integrate research work into Odyssey’s products.
  • Diagnose and improve model performance.
  • Design evaluation and monitoring systems for deployed models.
  • Collaborate with product engineering to ship models enabling new creative experiences.

Additional Details

  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: Technology, Information and Internet

Member of Technical Staff, ML Engineer employer: Odyssey

Odyssey is an exceptional employer for those passionate about pushing the boundaries of artificial intelligence and generative models. With a dynamic work culture that fosters innovation and collaboration, employees are encouraged to grow their skills while contributing to groundbreaking projects in film and gaming. Located at the forefront of technology, Odyssey offers unique opportunities to work alongside industry leaders and make a meaningful impact in a rapidly evolving field.
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Contact Detail:

Odyssey Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Member of Technical Staff, ML Engineer

✨Tip Number 1

Familiarise yourself with Odyssey's mission and recent projects. Understanding their focus on world models and generative AI will help you tailor your conversations and demonstrate your genuine interest in their work during interviews.

✨Tip Number 2

Network with current or former employees of Odyssey, especially those in technical roles. They can provide insights into the company culture and the specific skills that are highly valued, which can give you an edge in discussions.

✨Tip Number 3

Stay updated on the latest advancements in machine learning and generative models. Being able to discuss recent breakthroughs or relevant research can showcase your expertise and passion for the field during interviews.

✨Tip Number 4

Prepare to discuss how you've translated research into practical applications in your previous roles. Odyssey is looking for someone who can bridge the gap between theory and user-facing products, so having concrete examples ready will be beneficial.

We think you need these skills to ace Member of Technical Staff, ML Engineer

Machine Learning Expertise
Computer Vision
Generative Modelling
Real-Time Systems Development
Model Evaluation and Monitoring
Performance Optimisation
Collaboration with Product Engineering
Research Integration
Programming Skills (Python, TensorFlow, PyTorch)
Data Analysis
Problem-Solving Skills
Attention to Detail
Creativity in AI Applications
Understanding of Cinematic Techniques

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Member of Technical Staff, ML Engineer position at Odyssey. Familiarise yourself with their focus on world models and generative ML.

Tailor Your CV: Highlight your relevant experience in machine learning, particularly in world models and generative ML. Use specific examples from your past work that demonstrate your ability to translate research into practical applications.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Odyssey's mission. Explain how your skills and experiences align with their goals, particularly in developing real-time, photorealistic worlds.

Showcase Your Projects: If you have worked on projects related to computer vision or generative models, include them in your application. Provide links to your GitHub or portfolio to give them a clear view of your capabilities and creativity.

How to prepare for a job interview at Odyssey

✨Showcase Your ML Expertise

Make sure to highlight your experience with machine learning, especially in world models and generative ML. Be prepared to discuss specific projects you've worked on and the impact they had, as this will demonstrate your capability to contribute to Odyssey's mission.

✨Understand Odyssey's Vision

Familiarise yourself with Odyssey's goals and the technology they are developing. Being able to articulate how your skills align with their mission to reinvent film and gaming will show your genuine interest in the role and the company.

✨Prepare for Technical Questions

Expect to face technical questions related to model performance, evaluation systems, and integration of research into products. Brush up on relevant algorithms and be ready to solve problems on the spot, as this will showcase your analytical skills.

✨Demonstrate Collaboration Skills

Since the role involves working closely with product engineering teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with cross-functional teams to deliver projects, as this will highlight your teamwork abilities.

Member of Technical Staff, ML Engineer
Odyssey
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