At a Glance
- Tasks: Build and optimise cutting-edge AI models for real-time speech and audio generation.
- Company: Exciting startup at the forefront of multimodal AI technology.
- Benefits: Competitive salary, generous stock options, and remote work flexibility.
- Other info: Join a dynamic team with access to unlimited resources for experimentation.
- Why this job: Make a real impact on how millions of AI characters sound and interact.
- Qualifications: Experience with diffusion models and training large-scale AI systems.
The predicted salary is between 140000 - 200000 € per year.
Looking to push the boundaries of generative AI for real-time interaction? You'll be joining a well-funded startup working on multimodal AI where voice, vision, and language come together. They're building generative models for natural conversational experiences that need to perform in real-time. There's no limitations with resources here, they have plenty of compute for you to run experiments at scale. You'll be working alongside a well-known open-source leader, as well as a very strong speech R&D team from leading companies.
Your mission
- You'll be building and optimising diffusion or flow-matching models that power their speech and audio generation.
- This means developing production-ready architectures that can generate controllable, high-quality output at scale.
- You'll own the full research-to-production pipeline - from architecture design and training through deployment and optimisation.
- Your work will directly impact how millions of AI characters sound and interact.
Your focus
- Design and train large-scale diffusion or flow-matching models.
- Develop novel architectures and training techniques to improve controllability and quality.
- Build evaluation systems to measure generation quality and model behaviour.
- Work from low-level performance optimisations to high-level model design.
What you'll bring
- Proven track record building diffusion models or flow-matching systems (this can be applied to other modalities).
- Experience training large models (3B+ parameters) with distributed systems.
- Hands-on experience with streaming or distillation of diffusion models.
Nice to have
- Experience with audio or speech generation.
- Publications or open-source contributions in diffusion models or generative AI.
Remote in Europe. Base salary is between €140-200K DOE (with some flex for the right person). Plus generous stock.
Machine Learning Scientist employer: techire ai
Join a dynamic and innovative startup at the forefront of generative AI, where you'll have the opportunity to work with cutting-edge technology and a talented team. With a strong emphasis on employee growth and collaboration, this company offers a supportive work culture that encourages creativity and experimentation. Enjoy the flexibility of remote work in Europe, alongside competitive compensation and generous stock options, making it an ideal environment for those looking to make a meaningful impact in the AI space.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working on generative AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with diffusion models or flow-matching systems. Share your projects on GitHub or even write a blog post about your experiences. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with large-scale models and how you've tackled challenges in the past. Practise explaining complex concepts in simple terms – it’s all about making a connection!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your enthusiasm and fit for the role. It shows you’re genuinely interested and keeps you top of mind!
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Scientist role. Highlight your experience with diffusion models and any relevant projects you've worked on. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for generative AI and explain why you're excited about this opportunity. Let us know how you can contribute to our team and the innovative work we're doing.
Showcase Your Projects:If you've got any projects or publications related to diffusion models or generative AI, make sure to include them. We love seeing practical examples of your work and how you've tackled challenges in the past!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at techire ai
✨Know Your Models Inside Out
Make sure you can discuss diffusion and flow-matching models in detail. Be prepared to explain your previous work with large-scale models, especially those with 3B+ parameters. This shows you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Think of specific challenges you've faced in your past projects and how you overcame them. Whether it was optimising a model or improving generation quality, having concrete examples ready will demonstrate your ability to tackle real-world problems.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies used by the company, especially around speech and audio generation. If you can speak their language and relate your experience to their tech stack, it’ll show you’re genuinely interested and ready to hit the ground running.
✨Prepare Questions That Matter
Have insightful questions ready about their current projects, team dynamics, or future goals. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
