Machine Learning Engineer

About the role

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world.

Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice.

Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services.

We’re looking for a Machine Learning Engineer to join the Brain-Computer Interface team at Snap Inc!

In this role, you will be working on the state of the art of machine learning (ML) for time series data, developing the next generation of wearable device sensing. Working from our Paris office (9th arrondissement), you will be collaborating closely with other Specs hardware and software teams around the world.

What you’ll do:

- Design, implement and deploy ML models and systems

- Collaborate across software and research teams to deploy new ML systems and algorithms, and resolve integration issues

- Develop tools for training, testing and evaluating ML algorithm performance

- Write clean, well designed and tested code

- Communicate technical tradeoffs clearly through design docs and reviews

Knowledge, Skills & Abilities:

- Strong knowledge in Python

- Deep understanding of ML principles, algorithms and systems

- Ability to understand, debug and improve existing code as well as develop new algorithms using advanced time series and ML techniques

- Great spoken and written communication skills; ability to clearly explain complex ideas in a cross-functional team through design docs and presentations

Minimum Qualifications:

- MSc in Machine Learning or Computer Science, or equivalent field

- Strong knowledge in Python or C++

- 3+ years of research or engineering experience with ML approaches

- Experience with ML frameworks (e.g. PyTorch, mlflow), as well as with cloud environments (Google Cloud, AWS).

- Fluency in English

- Experience with engineering workflows including version control (git) and code reviews