Machine Learning Engineer, CV

Snap Inc.

Actively hiring Posted today Verified listing
Vienna, Austria · Santa Monica, CA Posted today
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Salary context

How this pay compares to similar roles

Similar $212k
$150k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $174,780–$248,500.

Based on 239 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 55 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 39 roles with salary data.

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View all roles at Snap Inc.

At a glance

TL;DR

As a Machine Learning Engineer joining the Computer Vision team at Specs in Vienna, Austria, you will work on cutting-edge machine learning technologies to integrate computing into the real world through Spectacles. Your day-to-day responsibilities include developing novel technologies for next-generation devices, advancing state-of-the-art algorithms, and deploying machine learning models. You will collaborate closely with cross-functional teams globally, leveraging your deep understanding of machine learning principles and frameworks like PyTorch or TensorFlow. The role requires expertise in areas such as hand/body tracking, object detection, scene understanding, and neural network optimization for efficient deployment on resource-constrained devices. This position demands strong communication skills and a passion for continuous learning to help drive innovation at Specs, which aims to redefine the capabilities of wearable technology.

Skills

PyTorch TensorFlow Python C++ AWS GC SLAM VIO Depth_Estimation Neural_Network_Optimization Computer_Vision Machine_Learning CI/CD

What you'll do

  • Develop novel technologies for the next generation of Spectacles.
  • Explore and advance state-of-the-art machine learning and computer vision algorithms.
  • Deploy machine learning models to straddle real and virtual worlds.
  • Debug and improve existing code using advanced computer vision techniques.
  • Work closely with cross-functional engineering teams on complex projects.

What we're looking for

  • Deep understanding of machine learning principles and frameworks for computer vision tasks.
  • 3+ years experience with machine learning approaches including hand/body tracking, object detection, and scene understanding.
  • Proficiency in developing and deploying machine learning models using PyTorch or TensorFlow.
  • Strong software development skills in Python or C++.
  • Experience integrating machine learning models into augmented reality solutions (preferred).
  • Expertise in geometric computer vision techniques like SLAM, VIO, tracking, and 3D reconstruction (preferred).

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