Neat
Machine Learning Engineer - Audio
HybridOslo, NorwayAI/ML
Our Take
Build intelligent audio processing for video collaboration devices at Neat.
What you’ll do
- Develop and train machine learning models for audio
- Collect, process, and organize data
- Evaluate machine learning models
- Adapt models for real-time execution on edge devices
- Follow current research in AI and machine learning
What they’re looking for
- Master's or PhD degree in a relevant field
- Proficiency in PyTorch or Tensorflow
- Experience with audio processing
- Experience with experiment tracking and data versioning tools
What you get
- Flexibility through hybrid work
Skills & Focus Areas
- PyTorch
- Tensorflow
- GCP
- AWS
- C/C++
- audio processing
- machine learning
As posted by Neat
The opportunity
At Neat we create intelligent, simple video collaboration devices, and are now looking for a machine learning engineer to join our audio team. The team works toward the vision Everyone should hear and understand each other, clearly and effortlessly. To that end, we combine traditional and machine learning techniques to process and enhance the audio from our device’s microphones.
What you will do
Develop and train cutting edge machine learning models for audio.
Collect, process, and organize data.
Follow current research in AI and machine learning.
Evaluate machine learning models using both objective metrics and subjective listening.
Adapt machine learning models for realtime execution on edge devices.
Who you are
Self driven and like to follow projects from research to finished products.
A strong communicator that shares your work and experience.
You stay up to date with new technologies, tools, and methods.
You live in or are willing to relocate to the Oslo area, or within two timezones from Oslo.
You are passionate. We love what we do, you should too.
Your opportunities
Make an impact by improving collaboration for millions of users around the world.
Be part of a growing company.
Flexibility. We promote hybrid work for both our customers and ourselves.
Your experience
Master’s or PhD degree in a relevant field.
Proficiency in industry-standard tools and languages, like PyTorch or Tensorflow.
Maybe you also
Have experience with machine learning in an industrial or product environment.
Are familiar with cloud platforms such as GCP or AWS.
Have experience with audio processing.
Have used experiment tracking and data versioning tools.
Are proficient in embedded development using C/C++.
Our company
Neat is an ambitious and growing company based in Fornebu just outside of Oslo, Norway. Our beautifully simple video devices and experiences bring people together, minimizing the physical and virtual divide. At Neat we believe that everyone should feel connected, present, and understood, no matter where they work from.
Note
Responses may be delayed in July, due to holidays.