At a Glance
- Tasks: Join our R&D team to revolutionise sound creation with machine learning technologies.
- Company: Krotos, a fast-growing company transforming audio design for creators worldwide.
- Benefits: Competitive salary, private health insurance, and flexible remote work options.
- Other info: Collaborative culture focused on creativity, growth, and high standards.
- Why this job: Make a real impact in the audio industry with cutting-edge technology and innovative projects.
- Qualifications: Degree or experience in machine learning, strong skills in audio processing and model deployment.
The predicted salary is between 50000 - 70000 € per year.
Location: Remote (UK or Greece)
Salary: Competitive, based on experience
Job Type: Full-Time
Working for Krotos
We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation.
The role
Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters.
Key objectives
- Research and develop multimodal AI technologies that improve the way people work with sound
- Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases
- Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field
Responsibilities
- Work within the team and research engineers to solve problems for film makers & sound designers
- Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows
- Collaborate with product and engineering teams to implement ML research in commercial products
- Work with the product owner to identify where ML creates the most value for customers
- Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business
- Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions
Skills and experience
Essential:
- A degree in a relevant field or extensive professional experience
- Experience in commercial machine learning research and development
- Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF)
- Experience working with data, training and evaluating machine learning models
- Experience with multimodal architectures — audio-language, vision-language, or both
- Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models
- Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs
- MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI
- Experience with Python and modern ML frameworks (PyTorch, JAX)
- Excellent verbal and written English communication skills
- Excellent analytical and problem-solving skills
- A desire to innovate and push current practice
Desirable:
- Experience with vision-language models, particularly Qwen-VL or similar
- Experience with Agile software development practices
- Familiarity with VST/AU plugin architectures and real-time audio constraints
- Experience delivering ML technologies shipped in commercial audio software
- Knowledge of sound design and audio post-production workflows
- C++ reading ability
- Previously registered audio machine learning patents
Team Core Values
- Inventive. Driven. Transparent. Our values define who we are and how we work:
- Honesty & Transparency: We communicate openly, share the truth even when it's difficult, and build trust through clarity
- Team Player: We collaborate, support each other, and put collective success above ego
- Problem Solver: We face challenges head-on and find creative, practical solutions.
- Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions
- Politeness & Respect: We treat colleagues and customers with courtesy and professionalism
- Curiosity & Growth: We love learning, experimenting, and continuously improving
- Data-Driven: We let insights and evidence guide our decisions, not guesswork
- High Standards: We take pride in excellence and pay attention to the details that matter
- Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals
Benefits
- Competitive salary and benefits package
- Private health insurance
- Opportunities for professional growth and development
- Flexible, remote working environment
- Access to cutting-edge technology and tools
- Exciting projects in a fast-growing, innovative company
Next steps
Send your CV and a cover letter to admin@krotosaudio.com explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results.
Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references.
At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.
Machine Learning Engineer in Sheffield employer: LinkedIn
Krotos is an exceptional employer that champions creativity and innovation in sound design, offering a competitive salary and a flexible remote working environment from the UK or Greece. With a strong focus on professional growth, employees have access to cutting-edge technology and exciting projects that push the boundaries of audio production, all while being part of a collaborative and transparent team culture that values curiosity and high standards.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. 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 machine learning projects, especially those related to audio processing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex ML concepts in simple terms, as communication is key in collaborative environments like Krotos.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our innovative team at Krotos.
We think you need these skills to ace Machine Learning Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant experience, especially in ML research and development, and don’t forget to mention any specific projects that showcase your skills in audio processing.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about sound design and how your background aligns with Krotos' mission. Share a couple of examples that demonstrate your problem-solving skills and creativity.
Showcase Your Technical Skills:Be sure to highlight your hands-on experience with large language models and any relevant tools or frameworks you’ve used. Mention your familiarity with MLOps practices and cloud deployment, as these are key for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LinkedIn
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around fine-tuning large language models and multimodal architectures. Be ready to discuss your hands-on experience with these technologies, as well as any specific projects you've worked on that relate to audio processing.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Krotos values inventive and practical solutions, so think about challenges you've faced and how you approached them. This will demonstrate your ability to contribute to their innovative environment.
✨Communicate Clearly
Since you'll need to explain ML concepts to non-technical team members, practice articulating your thoughts clearly and concisely. Use simple language to describe complex ideas, and be prepared to discuss the trade-offs of different approaches in a way that's easy to understand.
✨Align with Their Values
Familiarise yourself with Krotos' core values like honesty, teamwork, and curiosity. Think of examples from your past experiences that reflect these values. Showing that you resonate with their culture can set you apart from other candidates.
