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Machine Learning Engineer

Snap Inc.· Specs Inc / Brain-Computer Interface team
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Hybrid (Paris, France)Full timePosted 2w ago

About the role

Machine Learning Engineer to join the Brain-Computer Interface team at Snap Inc, focusing on time series ML for wearable device sensing and collaboration with global Specs hardware and software teams.

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

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

Skills

Required:PythonTime series MLML frameworks (PyTorch, mlflow)
Nice to have:C++Cloud environments

Benefits

  • 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!
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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