Machine Learning engineer, CV
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses, Spectacles.
Snap Labs is home to the Spectacles brand and a world-class Research & Development team, working together to pave the way for the future of the camera and wearable computing. We’re working on cutting-edge capture and AR solutions and are inventing new ways in which computing will be overlaid on the world around us.
Snap Labs AR is looking for a Machine Learning Engineer to join the R&D team in Vienna, Austria! In this role, you will be working on state of the art machine learning technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap’s wearable computing devices. Working from our Vienna office, you will be collaborating closely with other Snap hardware and software teams around the world.
What you’ll do:
Develop novel features for the next generation of wearable AR devices.
Develop and deploy machine learning frameworks.
Explore and implement state-of-the-art machine learning and computer vision algorithms.
Work together with our cross-functional engineering and research teams in computer vision, machine learning and graphics.
Knowledge, Skills & Abilities:
Strong understanding of machine learning algorithms.
Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
Strong communications and interpersonal skills.
A genuine passion for learning new things and helping colleagues improve.
Bachelors’ degree in a technical field such as computer science, mathematics or equivalent experience.
3+ years of research or engineering experience in deep learning with one or more of the following: segmentation, object detection, classification, model optimisation, surface reconstruction.
Track record of software development in Python and C++
Experience working with machine learning frameworks such as TensorFlow, PyTorch etc.
Experience in geometric computer vision such as Computational Photography, SLAM, Dense Scene Reconstruction, Depth Estimation etc.
Experience optimising code and neural networks (pruning, quantization, distillation etc.) to run efficiently on resource-constrained devices.
Experience with neural surface reconstruction.
Experience in geometric computer vision including Computational Photography, SLAM, Dense Scene Reconstruction, Depth Estimation etc.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at firstname.lastname@example.org.
Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!