Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimise cutting-edge models for speech and audio generation.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Competitive salary, stock options, and remote work flexibility.
- 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 systems.
- Other info: Work remotely in Europe with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Your mission is to build and optimize diffusion or flow matching models that power speech and audio generation. This involves developing production-ready architectures that can generate controllable, high-quality output at scale. You will own the full research-to-production pipeline from architecture design and training through deployment and optimization. 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 optimizations to high-level model design
What you’ll bring:
- Proven track record building diffusion models or flow matching systems
- Experience training large models (3B+ parameters) with distributed systems
Nice to have:
- Experience with audio or speech generation
- Publications or open source contributions in diffusion models or generative AI
Remote in Europe with competitive compensation + stock.
Machine Learning Research Engineer employer: Trades Workforce Solutions
Contact Detail:
Trades Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the machine learning community, attend meetups or webinars, 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 diffusion models or flow matching systems. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of large-scale model training and architecture design. Practice explaining your thought process clearly, as this will help you demonstrate your expertise during discussions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Machine Learning Research Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with diffusion models or flow matching systems. We want to see how you've tackled similar challenges in the past, so don’t hold back on those details!
Tailor Your Application: Customise your CV and cover letter to match the job description. We love seeing candidates who take the time to align their skills with what we’re looking for, especially in areas like model design and training techniques.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Trades Workforce Solutions
✨Know Your Models Inside Out
Make sure you’re well-versed in diffusion and flow matching models. Be ready to discuss your previous projects, the architectures you’ve designed, and how you optimised them for performance. This will show your depth of knowledge and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you faced while training large models, especially those with over 3 billion parameters. Discuss the strategies you employed to overcome these hurdles, as this will demonstrate your critical thinking and adaptability.
✨Highlight Your Evaluation Techniques
Be prepared to explain how you build evaluation systems to measure generation quality and model behaviour. Sharing examples of metrics you’ve used or developed can really set you apart and show your analytical skills.
✨Engage with Their Mission
Research the company’s goals regarding AI characters and audio generation. Show enthusiasm for how your work can impact millions of users. This connection can make a lasting impression and demonstrate that you’re not just looking for any job, but are genuinely interested in their mission.
