At a Glance
- Tasks: Conduct cutting-edge research on multimodal conversational models and enhance AI expressiveness.
- Company: Join Deepstreamtech, a leading AI company in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and shape the future of conversational technology.
- Qualifications: PhD or relevant experience in deep learning and strong PyTorch skills required.
The predicted salary is between 70000 - 90000 € per year.
Deepstreamtech seeks an AI Researcher to join their core AI team in Greater London. In this role, you'll conduct research on Large Multimodal Models, particularly for Conversational Avatars such as Neural Avatars and Talking-Heads. You'll develop methods to model both verbal and non-verbal aspects of conversation, and experiment with fine-tuning techniques to enhance model expressiveness and control.
A PhD or relevant experience in deep learning and multimodal models is required, along with strong PyTorch skills.
Lead AI Researcher — Multimodal Conversational Models employer: Deepstreamtech
Deepstreamtech is an exceptional employer, offering a dynamic work environment in the heart of Greater London where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development and collaboration with leading experts in AI research. Our inclusive culture fosters creativity and encourages team members to push the boundaries of technology, making it a rewarding place for those passionate about advancing multimodal conversational models.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Researcher — Multimodal Conversational Models
✨Tip Number 1
Network like a pro! Reach out to folks in the AI research community, especially those working on multimodal models. Attend meetups or webinars to make connections and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to conversational avatars or deep learning. This can really set you apart from other candidates when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your PyTorch skills. Be ready to discuss your past experiences with multimodal models and how you can contribute to Deepstreamtech's goals.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar as they make their decision.
We think you need these skills to ace Lead AI Researcher — Multimodal Conversational Models
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep learning and multimodal models. We want to see how your skills align with the role, so don’t be shy about showcasing your PyTorch expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI research and how your background makes you the perfect fit for developing conversational avatars. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any projects related to conversational models or fine-tuning techniques, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Multimodal Models
Make sure you brush up on the latest research and advancements in multimodal models, especially those related to conversational avatars. Be ready to discuss your understanding of both verbal and non-verbal communication in AI, as this will show your depth of knowledge and passion for the field.
✨Showcase Your PyTorch Skills
Since strong PyTorch skills are a must, prepare to demonstrate your proficiency. Bring examples of past projects where you've used PyTorch to develop or fine-tune models. This could be a great opportunity to discuss specific techniques you've employed and the results you've achieved.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with deep learning and multimodal models. Practice explaining complex concepts in simple terms, as this will help you communicate effectively with the interviewers, who may not have the same level of expertise.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the team’s current projects or future directions in AI research. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
