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- Tasks: Build and scale machine learning systems for real-time AI video applications.
- Company: Cutting-edge AI lab in London with a collaborative atmosphere.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a fast-paced team and shape the future of generative media experiences.
- Qualifications: Hands-on experience in machine learning and a passion for product development.
- Other info: Dynamic environment with exciting projects and career advancement potential.
The predicted salary is between 60000 - 80000 £ per year.
An AI lab is seeking a Mid-Senior level Member of Technical Staff, Research Engineer in London. This role focuses on building and scaling machine learning systems, optimizing performance, and collaborating with researchers to design interactive models. The ideal candidate is hands-on and motivated by bridging research with product development. Join a fast-paced, collaborative team and contribute to innovative generative media experiences.
Senior Research Engineer: Real-Time AI Video Systems in London employer: Odyssey
Contact Detail:
Odyssey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer: Real-Time AI Video Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to real-time AI video systems. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and be ready to discuss how you've bridged research with product development.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Senior Research Engineer: Real-Time AI Video Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in building and scaling machine learning systems. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about bridging research with product development. We love seeing genuine passion for innovative generative media experiences.
Showcase Collaboration Skills: Since this role involves working closely with researchers, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you contribute to a fast-paced environment!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Odyssey
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques and real-time AI video systems. Brush up on your knowledge of algorithms, frameworks, and tools relevant to the role. Being able to discuss specific projects or experiences where you've applied these technologies will really impress the interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working closely with researchers and other team members, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve bridged the gap between research and product development, as this will demonstrate your ability to thrive in a fast-paced, team-oriented environment.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice solving problems related to optimising performance in machine learning systems. Think aloud while you work through these problems; it shows your thought process and how you approach complex issues, which is key for this role.
✨Demonstrate Your Passion for Innovation
This position is all about contributing to innovative generative media experiences. Be ready to discuss your passion for AI and how you stay updated with industry trends. Share any personal projects or research that align with the company’s vision, as this will show your enthusiasm and commitment to pushing boundaries in the field.