Machine Learning Engineer

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

Job summary

Snap Inc. in Paris is hiring a Machine Learning Engineer to advance ML for time-series data on wearable devices. You will design, implement and deploy models across Specs hardware and software teams, collaborating globally to push the next generation of sensing technology.

You will write clean, tested code, work with ML frameworks like PyTorch and mlflow, and communicate design tradeoffs through docs and reviews. English strong is required; Paris-based office for on-site work.

Qualifications

• MSc in Machine Learning or Computer Science or equivalent.
• 3+ years of ML research or engineering experience.
• Fluency in English.
• Experience with PyTorch or ML frameworks.
• Experience with cloud environments (Google Cloud, AWS).
• Knowledge of time-series analysis and sensor data.
• Experience with real-time ML and CI/CD workflows.

Responsibilities

• Design, implement and deploy ML models and systems.
• Collaborate across software and research teams to deploy ML systems and algorithms.
• 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

Time series ML

ML algorithms

Communication

Cross-team collab

Git

C++

Education

MSc in ML or CS

PhD in ML or CS (preferred)

Tools

PyTorch

mlflow

Google Cloud

AWS

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 systemsCollaborate across software and research teams to deploy new ML systems and algorithms, and resolve integration issuesDevelop tools for training, testing and evaluating ML algorithm performanceWrite clean, well designed and tested codeCommunicate technical tradeoffs clearly through design docs and reviewsKnowledge, Skills & Abilities:Strong knowledge in PythonDeep understanding of ML principles, algorithms and systemsAbility to understand, debug and improve existing code as well as develop new algorithms using advanced time series and ML techniquesGreat spoken and written communication skills; ability to clearly explain complex ideas in a cross-functional team through design docs and presentationsMinimum Qualifications:MSc in Machine Learning or Computer Science, or equivalent fieldStrong knowledge in Python or C++3+ years of research or engineering experience with ML approachesExperience with ML frameworks (e.g. PyTorch, mlflow), as well as with cloud environments (Google Cloud, AWS).Fluency in EnglishExperience with engineering workflows including version control (git) and code reviewsFamiliarity with AI agents to support engineering and ML workflowsPreferred Qualifications:PhD in Machine Learning or Computer Science, or equivalent fieldExpertise in algorithms for digital signal processing, time series, EEG or other physiological sensors dataExperience with real-time ML and sensor systemsExperience with continuous integration and code quality toolsExperience developing AI agentic tools to support engineering workflows and ML experimentationIf 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!