At a Glance
- Tasks: Join our AI team to research and develop cutting-edge multimodal conversational models.
- Company: Dynamic startup focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on experimentation and innovation.
- Why this job: Be at the forefront of AI technology and make a real impact in conversational modelling.
- Qualifications: PhD or equivalent experience in relevant fields, strong skills in PyTorch and deep learning.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- If you thrive in fast-moving startup environments, enjoy experimenting with new ideas, and love seeing your work come to life in production then you’ll feel right at home.
- A PhD (or near completion) in a relevant field, or equivalent research experience.
- Hands-on experience with Large Multimodal Models and a strong foundation in generative (language) models. This could be in the context of tasks such as VQA, Audio/Video understanding tasks, captioning behavioural analysis, Translation tasks, Speech to Speech systems.
- Experience in fine-tuning/adapting VLMs for control, conditioning, or downstream tasks.
- Solid background in deep learning and foundation models.
- Strong PyTorch skills and comfort building deep learning pipelines.
- (Desirable) Knowledge of large-scale model training and optimisation.
- (Desirable) Experience in duplex-conversational model.
- (Desirable) Broader understanding of generative AI across modalities.
- (Desirable) Exposure to software development best practices.
- (Desirable) A flexible, experimental mindset i.e. comfortable working across research and engineering.
- (Desirable) (Bonus) Publications at EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV.
What the job involves
- We’re looking for an AI Researcher to join our core AI team and push the boundaries of Foundation Multimodal Conversational Models.
- Conduct research on Large Multimodal Models in the context of Conversational Avatars (e.g. Neural Avatars, Talking-Heads).
- Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behaviour in real time, with low-latency.
- Experiment with fine-tuning, adaptation, and conditioning techniques to make AudioVisual Multimodal Models more expressive, controllable, and task-specific.
- Partner with the Applied ML team to take research from prototype to production.
- Stay up to date with cutting-edge advancements — and help define what comes next.
Conversational Modelling Research Engineer in London employer: Deepstreamtech
Join a dynamic and innovative team where your research can directly influence the future of conversational AI. Our fast-paced startup environment fosters creativity and collaboration, offering you the chance to work on cutting-edge projects while enjoying a culture that values experimentation and growth. With ample opportunities for professional development and a focus on pushing technological boundaries, this role is perfect for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Conversational Modelling Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Large Multimodal Models or generative AI. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your deep learning knowledge and PyTorch skills. Be ready to discuss your past experiences and how they relate to the role. Practice 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 seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Conversational Modelling Research Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Large Multimodal Models and generative models in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention any relevant projects or research that relate to conversational models or deep learning. This helps us see how you fit into our team and what unique perspective you bring.
Be Yourself:We love a flexible and experimental mindset! Don’t be afraid to let your personality shine through in your application. Share your passion for AI and how you approach challenges creatively—this is what makes you stand out!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your knowledge of Large Multimodal Models and generative models. Be ready to discuss your hands-on experience with these technologies, especially in the context of tasks like VQA or speech systems. The more specific examples you can provide, the better!
✨Show Off Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving fine-tuning or adapting VLMs. If you've published any papers at conferences like EMNLP or NeurIPS, don’t hesitate to mention them. This shows your commitment to the field and your ability to contribute to cutting-edge research.
✨Demonstrate Your Flexibility
Since the role requires a flexible mindset, be ready to discuss how you've successfully navigated both research and engineering challenges in the past. Share examples where you’ve had to adapt quickly or experiment with new ideas, as this will resonate well with the startup environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to conversational avatars and their future projects. This not only shows your genuine interest but also gives you a chance to demonstrate your understanding of the field and how you can contribute to their goals.
