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 avatars.
- Qualifications: PhD or equivalent experience in relevant fields, strong skills in deep learning and PyTorch.
The predicted salary is between 60000 - 80000 € per year.
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.
Requirements:
- 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 behavioral 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 optimization.
- (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.
- (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 employer: Deepstreamtech
Join a dynamic and innovative team where your research can directly impact the future of conversational AI. Our collaborative work culture fosters creativity and experimentation, providing ample opportunities for professional growth and development in a fast-paced startup environment. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge resources and a network of industry leaders, making it an exciting place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Conversational Modelling Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Large Multimodal Models or generative AI. We want to see your work in action, so make it easy for hiring managers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you might need to discuss your experience with PyTorch or deep learning pipelines. We’re looking for clear communicators who can collaborate effectively!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Conversational Modelling Research Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Large Multimodal Models and generative models. 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!
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 in your work.
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 get back to you quickly!
How to prepare for a job interview at Deepstreamtech
✨Know Your Models
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 audio/video understanding. Show them you’re not just familiar but passionate about the subject!
✨Showcase Your Research
If you've got publications, don’t be shy about mentioning them! Talk about your research experiences and how they relate to conversational modelling. This is your chance to demonstrate your expertise and how it aligns with their goals.
✨Demonstrate Flexibility
They’re looking for someone with a flexible mindset, so be prepared to discuss how you’ve successfully navigated both research and engineering challenges. Share examples where you adapted your approach based on project needs or team dynamics.
✨Stay Current
Keep yourself updated with the latest advancements in generative AI and multimodal models. Bring up recent trends or breakthroughs during the interview to show that you’re engaged with the field and ready to contribute to their innovative projects.
