Computer Vision Engineer, Data Capture

Snap; Wien; On-site; EUR 70,000 - 95,000; Full time

Job summary

Snap Inc. in Vienna is seeking a Computer Vision Engineer, Data Capture to drive the data-driven pipeline for our wearable computing devices.

You will collaborate with hardware and software teams to deliver CV capabilities such as eye tracking and gaze detection. Applicants should hold a BSc/MSc in Computer Science or Computer Graphics with strong C++ or Python, and solid 3D geometry and graphics knowledge.

Qualifications

• BSc or MSc in Computer Science or Computer Graphics.
• 2+ years of relevant industry experience plus 3+ years in software development using C++ or Python.
• Strong knowledge of 3D geometry, trigonometry and linear algebra.
• Solid knowledge of geometric computer vision and/or graphics.

Responsibilities

• Design, implement and integrate new components into our data-driven pipeline.
• Collaborate with computer vision team on next-gen CV capabilities (eye tracking, gaze detection).
• Support full product life cycle of developing AR applications with ML teams.
• Contribute to CI, automated tests, code reviews and quality analyses.

Skills

Computer Vision

C++

Python

3D graphics

Education

BSc in Computer Science

MSc in Computer Science

Computer Graphics

Job description

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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world.

Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice.

Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services.

We’re looking for a Computer Vision Engineer, Data Capture to join the team in Vienna, Austria! In this role, you will be working on Computer Vision, Graphics and Machine Learning technologies to develop 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

• Design, implement and integrate new components and technologies into our data-driven pipeline.
• Work with computer vision team to deliver next-generation CV capabilities (such as eye tracking, gaze detection etc.) technology for our wearable computing devices.
• Work with engineering and machine learning teams to support the full product life cycle of developing Augmented Reality applications.
• Contribute to continuous integration infrastructure, automated tests, code review and code quality analysis.

Skills, Knowledge, Abilities

• Deep understanding of multiple-view geometry for computer vision and graphics.
• Outstanding problem solving skills.
• Team player with great communications and interpersonal skills; being able to prioritize duties and work autonomously.

Minimum Qualifications

Minimum Qualifications: BSc/MSc in Computer Science, Computer Graphics with 2+ years of relevant experience from industry 3+ years of experience in software development with modern C++ or Python. Solid knowledge of 3D geometry, trigonometry and linear algebra Solid knowledge of geometric computer vision and/or graphics.

Preferred Qualifications

• Experience with data capture and generation for ML.
• Experience with topics related to 3D computer vision (e.g. calibration, eye tracking, 3D mapping, etc).
• Experience with 3D graphics and 3D game engines such as Unreal or Unity, e.g. texture and UV mapping, rigging and animation of models etc.
• Experience with cloud environments (GC, AWS, etc).

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a default together approach and expect our team members to work in an office 4+ days per week. 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.

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 parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

SPECS: See how Snap is bringing computing into the world around us with SPECS, our next-generation augmented reality glasses built for real life.

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