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- Tasks: Fine-tune and optimise Vision Language Models for real-time video understanding in gaming.
- Company: Innovative AI startup in London with a focus on cutting-edge technology.
- Benefits: Up to £200k salary, equity options, and a hybrid work model.
- Why this job: Shape the future of AI solutions in gaming and make a real impact.
- Qualifications: Experience in applied R&D and comfortable with production system deployment.
- Other info: Unique opportunity to be part of a founding team in a dynamic environment.
An innovative AI startup in London is seeking a Founding AI R&D Engineer to focus on Vision Language Models. You will fine-tune and optimize models that process video data, ensuring they provide real-time understanding in game environments.
The ideal candidate should have experience in applied R&D, be comfortable with deployment in production systems, and balance model accuracy with cost and performance.
This hybrid role offers up to £200k plus equity, providing a unique opportunity to shape AI solutions in gaming.
Lead Vision-Language AI Engineer for Production R&D employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Vision-Language AI Engineer for Production R&D
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and gaming sectors on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Vision Language Models. We recommend including projects that highlight your ability to fine-tune models and optimise performance in real-time scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest doing mock interviews with friends or using online platforms to simulate the experience and get feedback.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Vision-Language AI Engineer for Production R&D
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in gaming shine through. We want to see how your passion aligns with our mission at StudySmarter!
Highlight Relevant Experience: Make sure to showcase your experience in applied R&D and any projects related to Vision Language Models. We’re keen to see how your background can contribute to our innovative team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for this hybrid role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at MBN Solutions
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest Vision Language Models. Be prepared to discuss your experience with fine-tuning and optimising these models, especially in relation to video data processing. Highlight any specific projects where you’ve successfully balanced accuracy with performance.
✨Showcase Your R&D Experience
Bring examples of your applied R&D work to the table. Discuss how you've tackled challenges in production systems and what strategies you used to ensure smooth deployment. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Gaming Context
Since this role is focused on gaming environments, brush up on how AI can enhance gameplay. Be ready to share insights on real-time understanding in games and how your contributions could shape the future of AI in this space.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s vision for AI in gaming, their current challenges, and how they measure success. This shows your genuine interest and helps you assess if it’s the right fit for you.
