machine learning engineer for event-driven imaging

SNAP, Inc.; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Competitive compensation packages

Resumo da oferta

Snap Inc. ищет инженера по компьютерному зрению и машинному обучению для разработки и внедрения моделей в фотон-эффективных/событийно-ориентированных системах. Вы будете работать над отслеживанием, оценкой глубины, SLAM и технологиями детекции для будущих AR-очков.

Требуется 3+ года опыта в CV/ML, навыки программирования на C++ и Python (PyTorch/TensorFlow), прочная математика и внимательность к деталям. Присутствие в офисе 4+ дня в неделю, пакет медицинского страхования и поддержки психического

Qualificações

• BSc or MSc and 3+ years in computer vision for photon-efficient or event-driven imaging.
• Experience with photon-efficient or event-driven imaging systems.
• 3+ years programming in C++ and Python (PyTorch or TensorFlow).
• Strong foundation in CV, ML, and statistical signal processing; strong math (3D geometry, probability, statistics, linear algebra).
• Detail-oriented, high quality, good communication, problem-solving.

Responsabilidades

• Design, train, and deploy machine learning models for event-driven imaging.
• Contribute to tracking, depth estimation, SLAM, and ML systems using high-temporal-resolution data.
• Develop photon-efficient features for next-gen AR glasses.
• Collaborate with CV team to deliver detection tech for AR systems.

Conhecimentos

Computer Vision

Machine Learning

C++ programming

Python programming

3D geometry

Statistics

Problem solving

Communication skills

Attention to detail

Formação académica

BSc or MSc in related field

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

Описание:

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.

Задачи:

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

Требования:

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

Условия:

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