Machine Learning Engineer

Snap Inc.; Paris; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Snap Inc. in Paris (9th arrondissement) is seeking a Machine Learning Engineer to join the Brain-Computer Interface team. You will design, implement and deploy ML models for time-series data on wearable devices, collaborating with global teams across hardware and software.

Fluency in English and strong Python skills are essential. You will work from our Paris office and contribute to scalable ML systems, tools for training and evaluating algorithms, and clear documentation of design decisions.

Formación

• MSc in Machine Learning or Computer Science or equivalent field.
• 3+ years of research or engineering experience with ML approaches.
• Strong knowledge in Python and ML fundamentals.
• Experience with ML frameworks (PyTorch) and cloud environments (GCP/AWS).
• Fluency in English; solid communication and collaboration skills.
• Experience with version control and code reviews.

Responsabilidades

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

Conocimientos

Python

ML algorithms

Time series ML

Communication

Git

Educación

MSc in Machine Learning

MSc in Computer Science

Herramientas

PyTorch

mlflow

Google Cloud

AWS

Descripción del empleo

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

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.

Our 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!