Machine Learning Engineer – Audio & Signals
We are looking for a hands-on Machine Learning Engineer to join a Stockholm-based team working with advanced audio and signal-based data. The role focuses on deep technical work, experimentation, and delivering production-grade ML solutions.
You will take end-to-end ownership of technical problems — from exploration and prototyping to scalable, reliable systems in production.
About the role
You will work with machine learning and AI methods applied to complex sound and signal data, combining statistical modeling, deep learning, and experimentation. The role centers on discovering patterns in audio, designing robust models, and transforming experimental ideas into well-engineered solutions.
This position suits someone who thrives in a role with strong technical focus and end-to-end responsibility.
What you’ll do
Design, train, and iterate on machine learning models for audio and signal analysis
Own feature extraction and modeling of structured attributes from sound data
Build and maintain internal ML pipelines, tools, and experimentation workflows
Explore and evaluate advanced representations and embeddings for audio signals
Apply and evaluate AI-driven approaches such as deep learning, representation learning, and data-driven modeling for audio and signal-based problems
Collaborate closely with backend engineers and domain specialists to integrate ML models into production systems
Contribute directly to ML architecture, evaluation strategies, and system reliability
Continuously test, refine, and improve models based on data and real-world usage
We think you’ll thrive if you
Are highly proficient in Python and comfortable with modern ML frameworks such as PyTorch
Enjoy writing clean, efficient, and maintainable code and scaling experiments into production
Have experience with data pipelines and an interest in data engineering
Are curious about structured systems underlying sound (timing, segmentation, organization, theory-driven models)
Have hands-on experience with or strong interest in signal processing
Are comfortable working with audio and/or image data
Have experience applying AI techniques and machine learning models to real-world data problems
Prefer owning problems end-to-end
Enjoy close collaboration while staying deeply technical
Additional strengths (nice to have)
Background in audio analysis, MIR, or related applied research
Practical experience with DSP
Technical environment
Backend: Python, FastAPI
Machine Learning: Python, PyTorch
Data: PostgreSQL
Cloud: AWS
Mobile: Flutter
Frontend: Angular (TypeScript)
Location: Stockholm
