Machine Learning Engineer

Snap

Paris

On-site

EUR 90,000 - 130,000

Full time

9 days ago

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Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Long-term incentive package

Job summary

Snap Inc. in Paris, France, seeks a Machine Learning Engineer to join the Brain-Computer Interface team. You will design and deploy ML models for time-series data on wearable devices, collaborating with hardware and software teams worldwide.

Ideal candidates have MSc in ML or CS, 3+ years in ML research or engineering, strong Python or C++, and experience with PyTorch and cloud platforms. English fluency required and a passion for innovative tech.

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.

Responsibilities

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.

Skills

Python

ML concepts

Time series

C++

Git

Communication

PyTorch

MLflow

Education

MSc in Machine Learning or Computer Science

Tools

PyTorch

MLflow

Google Cloud

AWS

Git

Job description

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
Familiarity with AI agents to support engineering and ML workflows

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
Familiarity with AI agents to support engineering and ML workflows

Preferred Qualifications

PhD in Machine Learning or Computer Science, or equivalent field
Expertise in algorithms for digital signal processing, time series, EEG or other physiological sensors data
Experience with real-time ML and sensor systems
Experience with continuous integration and code quality tools
Experience developing AI agentic tools to support engineering workflows and ML experimentation

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

Default Together Policy at Snap

At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate.

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

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