machine learning engineer for event-driven imaging

Snap Inc. operates Snapchat, a visual messaging app, and Specs Inc., a subsidiary focused on making computing more human. Its Spectacles unit develops camera and wearable computing technologies, including capture and augmented reality solutions.

• Design, train, and deploy machine learning models and computer vision algorithms for photon-efficient, event-driven imaging systems
• Contribute to tracking, depth estimation, SLAM, and machine learning systems using high-temporal-resolution event-driven data
• Develop photon-efficient imaging features and algorithms for next-generation AR Glasses
• Research machine learning and probabilistic techniques to improve the speed, noise robustness, and accuracy of computer vision algorithms
• Work with the computer vision team to deliver detection technology, including face, hand, and body detection, for augmented reality systems

• BSc or MSc and 3+ years of relevant industry experience in computer vision for photon-efficient or event-driven imaging
• Experience with photon-efficient or event-driven imaging systems
• A track record of successful projects demonstrating computer vision skills
• 3+ Years of programming experience in C++ and Python, such as PyTorch or TensorFlow
• Solid foundation in computer vision, machine learning, and statistical signal processing
• Strong mathematics background, including 3D geometry, probability, statistics, and linear algebra
• Ability to turn ideas into clean, fast, and reliable code
• Attention to detail, commitment to quality, strong communication, and outstanding problem-solving skills

• Office attendance is expected 4+ days per week
• Benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that enable participation in Snap’s long-term success