Senior Data Science Engineer


Job Description / Skills Required

Location: Flexible Paris Issy-les-Moulineaux. This role offers the flexibility to work from home, within proximity to an office location.

The Role

On this team you are going to be responsible for delivering automated cinematic storytelling solutions for advanced  video editing features  to easily build incredible videos. These features are built for mobile and desktop based on a variety of technical challenges in the areas of media understanding.

The person in this role will be responsible for media analysis, collecting, interpreting large dataset and extracting valuable meaning. In this role, you will be a part of a computer vision and machine learning team, exploring new ways to streamline the editing process, researching and applying a range of cutting edge research techniques to propose advanced editing features for the GoPro users.


Why Work With Us?

Create your own destiny. GoPro enables you and trusts you to get your own job done, because we believe that autonomy in role brings out the best in our employees.

Live your best life. We’ve adopted remote and flexible work arrangements to support work at GoPro alongside our commitment to supporting employee wellbeing, belonging and connection with one another.

Work with leading edge technologies. We encourage employees to cultivate and use the latest and greatest technology, to provide the best solutions to serve our customers. We celebrate creative solutions that bring innovation to GoPro technology.


What You Will Do

  • Review the state of the art algorithms and models, implement and benchmark the existing solutions
  • Explore new ways to automate the editing process via recommendation algorithms, from POCs to production.
  • Work closely with Creative Technologists and Product Managers to identify new ways to better understand users’ media and preferences.
  • Collaborate with Backend Engineers to implement advanced media processing pipelines.


Skills We’re Excited About

  • Proficiency in Python and C++
  • Experience with media processing (audio, image, video)
  • Experience with standard Machine Learning techniques & frameworks
  • Strong Computer Science fundamentals
  • Strong communication skills – ability to work in a distributed work environment


Bonus Points For

  • Experience with Big Data Analytics
  • Good knowledge of databases (SQL, NoSQL)
  • Passion for video editing


GoPro Highlights

  • Get your very own GoPro camera + gear
  • Generous time off policy
  • Excellent healthcare insurance coverage (Health-premium paid for 70% by GoPro)
  • Competitive salary and discretionary performance-related bonus
  • Subsidized lunch and snacks galore
  • Gym fee compensation
  • Transit benefit – 50% of the applicable public transportation pass
  • Excellent healthcare insurance coverage (Health-premium paid for 70% by GoPro)
  • Flexible work arrangements
  • Discounted employee stock purchase plan.
  • Professional + personal development opportunities, i.e. LinkedIn Learning, technology trainings, certifications, Peer-to-Peer learning, conferences and more.
  • Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events)

We strive for the day that no group can be described as underrepresented at GoPro – whether as part of our brand or in our workforce. We are committed to providing a more inclusive, representative, equal, just and happy world. GoPro is proud to be an Equal Opportunity Employer.