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- Tasks: Develop and enhance large-scale multimodal models, focusing on video modeling.
- Company: Leading AI firm in London dedicated to public benefit and scientific discovery.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a talented team and contribute to groundbreaking advancements in AI technology.
- Qualifications: Degree in computer science or related field; strong programming and ML skills required.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading artificial intelligence firm in London is seeking a Research Engineer to develop and improve large-scale multimodal models, particularly focusing on video modeling. The ideal candidate will hold a degree in computer science or a related field and possess strong programming and engineering skills. Experience with machine learning experimentation and proficiency in major ML frameworks such as TensorFlow and PyTorch is essential. Join a talented team working to advance AI for public benefit and scientific discovery.
Multimodal Video Modeling Research Engineer employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Multimodal Video Modeling Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work with video modeling. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to multimodal models or video modeling. This can be a game-changer during interviews, as it gives us tangible proof of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills and ML frameworks like TensorFlow and PyTorch. Practice coding challenges and review common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Multimodal Video Modeling Research Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming and engineering skills in your application. We want to see your experience with machine learning experimentation and any projects you've worked on using TensorFlow or PyTorch.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Multimodal Video Modeling Research Engineer role. We love seeing how your background aligns with our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity in AI research!
How to prepare for a job interview at Google DeepMind
✨Know Your Tech Inside Out
Make sure you’re well-versed in the major ML frameworks like TensorFlow and PyTorch. Brush up on your programming skills and be ready to discuss specific projects where you've applied these technologies. This will show that you’re not just familiar with them, but that you can use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you tackled complex problems, especially in video modeling or machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see how you approach challenges.
✨Stay Updated on AI Trends
Research the latest advancements in AI and multimodal models. Being able to discuss current trends and how they relate to the company’s goals will demonstrate your passion for the field and your commitment to contributing to their mission of advancing AI for public benefit.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and the company’s vision for AI. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. It’s a two-way street, after all!
