2 дня назад
Computer Vision & Machine Learning Engineer (Photon-Efficient Event-Driven Imaging)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Computer Vision & Machine Learning Engineer (Photon-Efficient Event-Driven Imaging): Developing computer vision algorithms and machine learning models for photon-efficient, event-driven imaging in next-generation AR glasses with an accent on tracking, depth estimation, SLAM, and ultra-low-light processing. Focus on designing fast and noise-robust algorithms, working with high-temporal-resolution data, and building detection systems for face, hand, and body tracking.
Location: London office; expected to work in the office 4+ days per week
Company
is a technology company developing visual communication, augmented reality, wearable computing, and digital services including chat, Spectacles, and Bitmoji.
What you will do
- Design, train, and deploy machine learning models and computer vision algorithms for photon-efficient, event-driven imaging systems.
- Develop tracking, depth estimation, SLAM, and machine learning systems using high-temporal-resolution event-driven data.
- Create imaging features and algorithms for the next generation of AR glasses.
- Research probabilistic and machine learning techniques to improve speed, noise robustness, and accuracy.
- Deliver detection technologies for faces, hands, bodies, and other augmented reality use cases.
- Collaborate with computer vision, hardware, and software teams around the world.
Requirements
- BSc or MSc with 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 and successful computer vision projects.
- Strong knowledge of computer vision, machine learning, statistical signal processing, 3D geometry, probability, statistics, and linear algebra.
- 3+ years of programming experience in C++ and Python, including frameworks such as PyTorch or TensorFlow.
- Ability to produce clean, fast, and reliable code, with strong problem-solving, communication, and quality-focused skills.
Culture & Benefits
- Default-together approach focused on in-person collaboration.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages that provide participation in 's long-term success.
- Inclusive equal-opportunity workplace with accommodation support for disabilities and special needs.
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