Machine Learning Engineer

SNAP, Inc.; Paris; On-site; EUR 90,000 - 120,000; Full time

Job summary

Snap Inc. in Paris, France is seeking a Machine Learning Engineer to advance time-series ML for wearable sensing. You will join the Specs/Brain-Computer Interface teams and collaborate with global hardware/software groups to ship robust ML solutions.

The role focuses on implementing scalable ML pipelines, developing evaluation tools, and enabling rapid iteration in a highly interdisciplinary environment.

Qualifications

• MSc in Machine Learning or Computer Science or equivalent.
• Strong knowledge in Python and ML algorithms.
• Experience with ML frameworks (e.g. PyTorch, mlflow) and cloud environments.
• Fluency in English and strong communication skills.

Responsibilities

• Design, implement and deploy ML models and systems.
• Collaborate across software and research teams to deploy ML systems.
• Develop tools for training, testing and evaluating ML algorithms.
• Write clean, well designed and tested code.
• Communicate technical tradeoffs through design docs and reviews.

Skills

Python

ML concepts

Time series ML

Communication

Education

MSc in ML or CS

PhD (preferred)

Tools

PyTorch

mlflow

cloud platforms

Job description

Paris, France

Full time

R0047006

Snap Inc (https://www.snap.com/en-US/) 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 (http://snapchat.com/?lang=en-US) , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. (https://www.specs.com/) , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji (http://bitmoji.com/) , 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: (https://docs.google.com/document/d/1b2N5M5nZjUhqPpWCrQIzDFSbR5fkxwciCp46XHMxueY/edit#bookmark=kix.haac6kbepauf)

• 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 (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .

"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.

Our Benefits (http://careers.snap.com/benefits) : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Curious what it's like to work at Snap? Meet the people behind our products and discover how our values shape the way we create, innovate, and connect.

SPECS (https://www.specs.com/) : See how Snap is bringing computing into the world around us with SPECS, our next-generation augmented reality glasses built for real life.

Snap News (https://newsroom.snap.com/) : Explore the latest stories about our products, innovation, and the people shaping what's next at Snap.

Applicant and Candidate Privacy Policy (https://careers.snap.com/privacy-policy)