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Die Beschreibung: Senior Machine Learning Research Engineer als Startup Full-Time Job

About Ableton

Here at Ableton, we come from a wide range of cultural and professional backgrounds. What connects us is the shared belief that each of us has the skills and knowledge to contribute to the future of music culture.

We’re dedicated to what we do, and equally so about improving who we are. We work hard to foster an environment in which people can develop both personally and professionally. We believe that teams work best when they include a range of skills and experiences. That’s why we’re committed to becoming a truly inclusive workplace, providing equal opportunity in both our recruitment process and in the subsequent growth of an employee. Working here, you’ll have the opportunity to engage in mentoring, soft skills training and coaching. We care deeply about the balance between work and life, and support this with benefits surrounding health and fitness, mobility, working hour flexibility, the provision of ergonomic work equipment, as well as inspiration and tools for music-makers.

With us, you’ll work in a relaxed but dynamic environment, surrounded by people who love music and technology. You’ll be creatively challenged, encouraged to learn, and you’ll become part of an expanding, international company.

Your mission

Ableton is expanding its machine learning capabilities, and we’re looking for an experienced Machine Learning Engineer to help shape the technical and strategic direction of ML across Live and the wider Ableton ecosystem.

You’ll join a focused ML team working on creative tools for musicians. This role involves leading efforts across research and production, from prototyping to deployment. As part of this team, you will help develop our ML strategy and shape the evolution of machine learning at Ableton.

This role sits at the intersection of hands-on work and strategic thinking. We’re looking for an ML engineer, with deep learning experience, who’s excited by music technology, comfortable navigating ambiguity, and eager to define the future of ML in the creative space. It is designed for someone who is motivated to clarify direction, challenge assumptions, and help others do their best work.

We are accepting applicants who are located in Germany, Netherlands, Spain, UK or the US (CA, IL, NY, TX, GA, PA, CO, UT). Or applicants who are interested in relocating to one of these locations.

Your responsibilities

- You will work closely with product owners, researchers, engineers and senior management, contributing both hands-on expertise and perspective on longer-term direction.
- Actively shape the ML research and development direction, including identifying promising areas to explore and guide strategic decisions.
- You design, train, evaluate and optimize ML models for creative workflows.
- You lead ML research projects and help explore new directions.
- You guide data collection, curation and ongoing dataset maintenance.
- You build infrastructure to support reproducible and scalable model development.
- You ensure your models are fast, reliable, and usable by musicians on real-world machines.
- Support other engineers through mentoring and shared problem solving

Your profile

- You have experience with deep learning, PyTorch, and production-ready model development.
- You have previous experience in data curation and ongoing dataset maintenance.
- You bring practical knowledge of ML Ops (experiment tracking, deployment, cloud compute).
- You're eager to shape our long term vision for how Machine Learning can meaningfully enhance modern music production workflows.
- You have worked with audio or music-related deep learning problems.
- You understand how people create music—even if you’re not a musician yourself.

Your application

Please submit the following documents:

- Your CV (without a picture)
- Optional: Links to GitHub, publications, or relevant portfolio work