Machine Learning Ops Engineer

Elliptic Labs is looking for an Machine-Learning Ops Engineer to join our Machine Learning & Algorithm team. You’ll be building and maintaining our infrastructure for monitoring and training machine-learning models. Our goal is to build simple, yet powerful automated tools.

About Elliptic Labs:

Elliptic Labs is a global enterprise targeting the smartphone, laptop, IoT, and automotive markets. Founded in 2006 as a research spin-off from Norway’s Oslo University, the company’s patented software uses AI, ultrasound and sensor-fusion to create Virtual Smart Sensors that deliver intuitive 3D gesture, proximity, presence, breathing and heartbeat detection experiences. Its scalable AI Virtual Smart Sensor Platform™ creates software-only sensors that are sustainable, human-friendly and already deployed in hundreds of millions of devices around the world. Elliptic Labs is the only software company that has delivered detection capabilities using AI software, ultrasound, and sensor-fusion deployed at scale. The company is listed on the Oslo Børs.

Elliptic Labs is headquartered in Norway with presence in the USA, China, South Korea, Taiwan, and Japan. Its technology and IP are developed in Norway and are solely owned by the company.

• Maximize the efficiency and reliability of our ML pipeline (data collection, tagging, preprocessing, training, and testing)
• Supervise software builds and deployment pipelines for continuous delivery
• Visualize algorithm performance and maintain metrics

We do not have any hard requirements, but we are looking for candidates with some of the qualifications or skills listed below:

• BSc / MSc in Computer Science, Cybernetics, Physics or equivalent field or experience
• Strong knowledge of Python or similar scripting languages
• You have experience with one or more of the following: Rust, Typescript, React, Postgresql, GraphQL, Docker
• Continuous integration and continuous development (CI/CD)
• Experience with Azure offerings (Web Apps, Azure AD)
• Knowledge of version control: Git, CVS, SVN or similar
• Knowledge of and experience with machine learning frameworks such as Tensorflow and Pytorch is beneficial
• Understanding of basic signal processing (e.g. time and frequency domain analysis)
• Fluent written and oral communication skills in English
• Ability to plan work, interface with other engineers, and communicate results effectively

• Great working environment with the possibility to grow and develop
•  New modern office facilities downtown Oslo
•  Multicultural, inclusive, and nice working environment
•  Be part of an exciting and global growth journey
• Frequent social activities and after works events 
• A culture where supporting each other, being authentic, solid and transparent are important values.