Dein persönlicher KI-Karriere-Agent
Machine Learning Engineer(m/w/x)
Developing ML models for next-gen Spectacles hardware. Deep ML/CV expertise and algorithm development skills required. Stock options, paid parental leave.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- machine learning
- computer vision
- PyTorch
- TensorFlow
- GC
- AWS
- Python
- C++
- SLAM
- VIO
- Augmented Reality
Benefits
Großzügige Elternzeit
- Paid parental leave
Gesundheits- & Fitnessangebote
- Comprehensive medical coverage
Mentale Gesundheitsförderung
- Emotional and mental health support programs
Attraktive Vergütung
- Stock options
Noch nicht perfekt?
- Snap Technology GmbHVollzeitnur vor OrtBerufserfahrenWien
- Snap Inc
Machine Learning Platform Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc
Machine Learning Engineer, Infrastructure(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc
Computer Vision engineer, Sensor Fusion(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Technology GmbH
Computer Vision Engineer, SLAM(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien
Machine Learning Engineer(m/w/x)
Developing ML models for next-gen Spectacles hardware. Deep ML/CV expertise and algorithm development skills required. Stock options, paid parental leave.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- machine learning
- computer vision
- PyTorch
- TensorFlow
- GC
- AWS
- Python
- C++
- SLAM
- VIO
- Augmented Reality
Benefits
Großzügige Elternzeit
- Paid parental leave
Gesundheits- & Fitnessangebote
- Comprehensive medical coverage
Mentale Gesundheitsförderung
- Emotional and mental health support programs
Attraktive Vergütung
- Stock options
Über das Unternehmen
Snap Inc.
Branche
IT
Beschreibung
The company is a technology firm that empowers people to express themselves and communicate through innovative products like Snapchat and AR glasses.
Noch nicht perfekt?
- Snap Technology GmbH
Machine Learning Engineer, CV(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc
Machine Learning Platform Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc
Machine Learning Engineer, Infrastructure(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc
Computer Vision engineer, Sensor Fusion(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Technology GmbH
Computer Vision Engineer, SLAM(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien