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Machine Learning Engineer, CV

External
Snap logoSnap · Vienna, Austria
Full-timeOn-site2w ago
AWSClassificationComputer VisionData AnalysisMachine LearningPrototyping
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Responsibilities

  • Additionally you will:
  • Develop novel technologies for the next generation of Spectacles.
  • Explore and advance state-of-the-art machine learning and computer vision algorithms.
  • Develop and deploy machine learning models.
  • Work together with our cross-functional engineering and research teams in computer vision, machine learning and graphics.
  • Knowledge, Skills & Abilities:
  • Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks
  • 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.

Requirements

  • Bachelors' degree in a technical field such as computer science, mathematics or equivalent experience.
  • 3+ years of research or engineering experience with machine learning approaches, in one or more of the following areas: hand/body tracking, object detection, object pose tracking, scene understanding (segmentation, classification), neural scene representation.
  • Experience with machine learning frameworks (PyTorch, TensorFlow etc.), as well as with cloud environments (GC, AWS etc).
  • Experience with software development in Python or C++
  • Msc/Phd in related field (Computer Vision, Machine Learning)
  • Experience in integrating Machine Learning models into Augmented Reality solutions
  • Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.
  • Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.
  • Experience using AI tools to support engineering workflows (coding assistance, debugging, prototyping, data analysis, or experiment acceleration)
  • If you have a disability or special need that requires accommodation, please don't be shy and provide us some information .

Benefits

Health insuranceVision insuranceParental leave

Additional Information

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 its AR glasses, Spectacles . Specs is home to our hardware product with a world-class research & development team. We are focused on pushing the boundaries of what a camera can be, specifically overlaying computing on the real world. We're looking for a Machine Learning Engineer to join the Computer Vision team in Vienna, Austria!


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