Location: Paris - Issy-les-Moulineaux (Flexible). This role offers the flexibility to work from home, within proximity to an office location. The Role As an AI algorithm engineer, you will be part of the team driving innovation and excellence in AI across the organization, located in France. Your role will require deep expertise in state-of-the-art machine learning techniques, with a strong understanding of recent academic and industrial publications. Experience in embedded systems is a significant plus, as many of our AI solutions are deployed on resource-constrained devices (AI on the edge). 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 <ul> <li>Research activities  <ul> <li>Define the AI strategy for image restoration and scene understanding</li> <li>Analyze state-of-the-art algorithms</li> </ul> </li> <li>Development activities  <ul> <li>Propose, prototype and extensively test algorithm solutions that could reach desired performances within embedded hardware and software, and planning constraints </li> <li>Design, develop and optimize (memory consumption, quantization and processing time) the chosen image processing and computer vision solutions </li> <li>Deliver fully tested solutions (objective and subjective performance evaluations)</li> <li>Support the design and the development of performance metrics and tools used for the integration and the tuning of our solutions inside final products </li> <li>Maintain and improve internal MLOps framework</li> <li>Comply with our internal development and coding rules </li> </ul> </li> <li>Test and evaluate third party IP</li> <li>Collaborate with cross-functional teams including firmware, hardware, product, and software engineering </li> </ul> Skills We Are Excited About <ul> <li>Ph.D. or M.S. in Applied Mathematics, Machine Learning, or related field.</li> <li>Deep understanding of modern ML techniques.</li> <li>Proficiency in Python, PyTorch/TensorFlow, and ML tooling.</li> <li>Experience with AI on the edge</li> <li>Knowledge of version control (Git), CI/CD, and MLOps practices.</li> <li>Experience with Photo and Video camera related products is a plus </li> <li>Technical English language practice required </li> <li>Strong interpersonal communication skills </li> <li>Autonomous and rigorous work management </li> <li>Results and deadline driven  </li> </ul> GoPro Highlights <ul> <li>Get your very own GoPro camera + gear</li> <li>Generous time off policy</li> <li>Excellent healthcare insurance coverage for you and your family (Health premium paid 70% by GoPro)</li> <li>Competitive salary and discretionary performance-related bonus</li> <li>Subsidized snacks galore</li> <li>LiveHealthy monthly wellness reimbursement</li> <li>Monthly phone and internet reimbursement</li> <li>Transit benefit – 50% of the applicable public transportation pass</li> <li>Flexible work arrangements</li> <li>Discounted employee stock purchase plan (ESPP)</li> <li>Professional + personal development opportunities, i.e. Opportunity Lab, technology trainings, certifications, Peer-to-Peer learning, conferences and more</li> <li>Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events)</li> </ul> GoPro is proud to be an Equal Opportunity Employer. #flexible #LI-Hybrid #LI-ST1