Snap Technology GmbH
Machine Learning Engineer, CV(m/w/x)
Full-timeOn-siteExperienced
Wien
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SNSnap Inc.
Machine Learning Engineer(m/w/x)
Wien
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML models for next-gen Spectacles hardware. Deep ML/CV expertise and algorithm development skills required. Stock options, paid parental leave.
Requirements
- Deep understanding of machine learning principles, solutions, and frameworks for computer vision tasks
- Ability to understand, debug, and improve existing code and develop new algorithms using advanced computer vision and machine learning techniques
- Strong communication and interpersonal skills
- Genuine passion for learning new things and helping colleagues improve
- Bachelors’ degree in technical field (computer science, mathematics) or equivalent experience
- 3+ years research or engineering experience with machine learning approaches in hand/body tracking, object detection, object pose tracking, scene understanding, or neural scene representation
- Experience with machine learning frameworks (PyTorch, TensorFlow) and cloud environments (GC, AWS)
- Experience with software development in Python or C++
- Msc/Phd in related field (Computer Vision, Machine Learning)
- Experience integrating Machine Learning models into Augmented Reality solutions
- Experience in geometric computer vision (SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation)
- Experience in neural network optimization (pruning, quantization, distillation) for resource-constrained devices
- Experience using AI tools for engineering workflows (coding assistance, debugging, prototyping, data analysis, experiment acceleration)
Tasks
- Develop novel technologies for next-generation Spectacles
- Advance state-of-the-art machine learning algorithms
- Explore computer vision algorithm improvements
- Develop and deploy machine learning models
- Collaborate with cross-functional engineering teams
- Work with research teams in computer vision and graphics
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- machine learning
- computer vision
- PyTorch
- TensorFlow
- GC
- AWS
- Python
- C++
- SLAM
- VIO
- Augmented Reality
Benefits
Generous Parental Leave
- Paid parental leave
Healthcare & Fitness
- Comprehensive medical coverage
Mental Health Support
- Emotional and mental health support programs
Competitive Pay
- Stock options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Snap Inc. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SNSnap Inc.
Machine Learning Engineer(m/w/x)
Wien
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML models for next-gen Spectacles hardware. Deep ML/CV expertise and algorithm development skills required. Stock options, paid parental leave.
Requirements
- Deep understanding of machine learning principles, solutions, and frameworks for computer vision tasks
- Ability to understand, debug, and improve existing code and develop new algorithms using advanced computer vision and machine learning techniques
- Strong communication and interpersonal skills
- Genuine passion for learning new things and helping colleagues improve
- Bachelors’ degree in technical field (computer science, mathematics) or equivalent experience
- 3+ years research or engineering experience with machine learning approaches in hand/body tracking, object detection, object pose tracking, scene understanding, or neural scene representation
- Experience with machine learning frameworks (PyTorch, TensorFlow) and cloud environments (GC, AWS)
- Experience with software development in Python or C++
- Msc/Phd in related field (Computer Vision, Machine Learning)
- Experience integrating Machine Learning models into Augmented Reality solutions
- Experience in geometric computer vision (SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation)
- Experience in neural network optimization (pruning, quantization, distillation) for resource-constrained devices
- Experience using AI tools for engineering workflows (coding assistance, debugging, prototyping, data analysis, experiment acceleration)
Tasks
- Develop novel technologies for next-generation Spectacles
- Advance state-of-the-art machine learning algorithms
- Explore computer vision algorithm improvements
- Develop and deploy machine learning models
- Collaborate with cross-functional engineering teams
- Work with research teams in computer vision and graphics
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- machine learning
- computer vision
- PyTorch
- TensorFlow
- GC
- AWS
- Python
- C++
- SLAM
- VIO
- Augmented Reality
Benefits
Generous Parental Leave
- Paid parental leave
Healthcare & Fitness
- Comprehensive medical coverage
Mental Health Support
- Emotional and mental health support programs
Competitive Pay
- Stock options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Snap Inc. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Snap Inc.
Industry
IT
Description
The company is a technology firm that empowers people to express themselves and communicate through innovative products like Snapchat and AR glasses.
Not a perfect match?
- Snap Technology GmbH
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Full-timeOn-siteExperiencedWien - Snap Inc
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