Role
Remote, Oslo based company
As our Senior Machine Learning Engineer, your expertise won’t just shape our audio enhancement technology; it will ensure it is tailored specifically to meet our diverse customer needs. You will be instrumental in bridging the gap between cutting-edge ML audio enhancement and client-specific requirements, ensuring every audio experience is unparalleled.
Watch our short 2 min to understand what we all about https://www.youtube.com/watch?v=wJoK6-kcmE0
Key Responsibilities
- Design, train, and refine machine learning models geared towards audio enhancement, such as stem separation, noise reduction, dialogue boost, and reverb reduction.
- Customize our HANCE Audio Engine and its models to align with specific customer demands and use cases.
- Collaborate with clients to understand their requirements and adapt our technology accordingly.
- Collaborate with cross-functional teams to seamlessly integrate customized models into our products.
- Maintain, optimize, and upgrade ML architectures to ensure consistent performance and client satisfaction.
- Stay updated with the latest developments in ML and audio processing.
Essential Skills & Experience
- 5+ years of Machine Learning.
- Robust expertise in C++ and Python.
- In-depth experience with machine learning frameworks, preferably PyTorch or TensorFlow.
- A solid grasp of machine learning principles, concepts, and algorithms.
- Proven track record of adapting ML models or systems based on client feedback or requirements.
- A self-managed and dedicated approach with the ability to work independently.
Desirable Skills
- Previous experience in the music or audio sector.
- Comprehensive understanding of audio signal processing.
- Demonstrated ability to develop, evaluate, and improve ML models in the audio domain.
What We Offer
- A collaborative environment where innovation and client-centric adaptation are paramount.
- The flexibility to work remotely or from our office in Oslo.
- Engage with a broad spectrum of projects, each presenting unique challenges and growth opportunities.
- Competitive compensation and benefits package.
- Option to become a full time employee with the possibility to earn equity
About HANCE
HANCE is at the forefront of the AI revolution, offering DeepTech solutions for audio enhancement. Our HANCE Audio Engine is a model inference library with minimal hardware requirements that allows machine learning models to be easily deployed to any device. Additionally, we train lightweight and low latency machine learning models that allow us to effectively reduce noise, remove reverb, recover signals, classify sounds all in realtime. Located in vibrant Oslo, Norway, our innovative team is reshaping the audio landscape by offering transformative experiences for our business customers.
Please apply here;