Snap Inc
Machine Learning Engineer, Infrastructure(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Wien
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SNSnap Inc
Machine Learning Platform Engineer(m/w/x)
Wien
VollzeitVor OrtBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
ML platform ownership for Spectacles AR glasses, building scalable data and training pipelines at social media and AR tech firm. Proven track record developing highly available systems with large data volumes required. Paid parental leave, comprehensive medical and mental health support.
Anforderungen
- Excellent software design, development and debugging skills in ML systems
- Proven track record of developing highly available systems dealing with large amounts of data
- Working knowledge of ML fundamentals
- Strong communications and interpersonal skills
- Genuine passion for learning new things and helping colleagues improve
- Ability to travel as needed
- Bachelors’ degree in a technical field or equivalent experience
- 4+ years of relevant industry experience
- Experience with Python, C++ or equivalent
- Experience with machine learning platforms and infrastructure
- Experience building large scale production machine learning systems or data pipelines
- Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions, Memcache/Redis, Google/AWS services
- Experience with Tensorflow, PyTorch, or related deep learning frameworks
- Experienced in MLOps: managing production machine learning lifecycle
- Familiarity with Metaflow, Airflow, Kubeflow or similar workflow orchestration framework
Aufgaben
- Support the development of machine learning technologies for Spectacles
- Collaborate with global teams in machine learning and computer vision
- Own the ML platform for training, evaluation, and deployment of ML models
- Build scalable data and training pipelines
- Deliver scalable, reproducible end-to-end ML workflows
- Develop optimization and release toolchain for automated testing and validation
- Implement CI/CD processes for machine learning
- Advocate for best practices in scalability and cost management
- Work with cross-functional engineering and research teams
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
- Docker
- Kubernetes
- Istio/Envoy
- NoSQL solutions
- Memcache/Redis
- Google/AWS services
- Tensorflow
- PyTorch
- Metaflow
- Airflow
- Kubeflow
Benefits
Großzügige Elternzeit
- Paid parental leave
Gesundheits- & Fitnessangebote
- Comprehensive medical coverage
Mentale Gesundheitsförderung
- Emotional and mental health support
Attraktive Vergütung
- Compensation packages
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snap Inc erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Vollzeitnur vor OrtBerufserfahrenWien
SNSnap Inc
Machine Learning Platform Engineer(m/w/x)
Wien
VollzeitVor OrtBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
ML platform ownership for Spectacles AR glasses, building scalable data and training pipelines at social media and AR tech firm. Proven track record developing highly available systems with large data volumes required. Paid parental leave, comprehensive medical and mental health support.
Anforderungen
- Excellent software design, development and debugging skills in ML systems
- Proven track record of developing highly available systems dealing with large amounts of data
- Working knowledge of ML fundamentals
- Strong communications and interpersonal skills
- Genuine passion for learning new things and helping colleagues improve
- Ability to travel as needed
- Bachelors’ degree in a technical field or equivalent experience
- 4+ years of relevant industry experience
- Experience with Python, C++ or equivalent
- Experience with machine learning platforms and infrastructure
- Experience building large scale production machine learning systems or data pipelines
- Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions, Memcache/Redis, Google/AWS services
- Experience with Tensorflow, PyTorch, or related deep learning frameworks
- Experienced in MLOps: managing production machine learning lifecycle
- Familiarity with Metaflow, Airflow, Kubeflow or similar workflow orchestration framework
Aufgaben
- Support the development of machine learning technologies for Spectacles
- Collaborate with global teams in machine learning and computer vision
- Own the ML platform for training, evaluation, and deployment of ML models
- Build scalable data and training pipelines
- Deliver scalable, reproducible end-to-end ML workflows
- Develop optimization and release toolchain for automated testing and validation
- Implement CI/CD processes for machine learning
- Advocate for best practices in scalability and cost management
- Work with cross-functional engineering and research teams
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
- Docker
- Kubernetes
- Istio/Envoy
- NoSQL solutions
- Memcache/Redis
- Google/AWS services
- Tensorflow
- PyTorch
- Metaflow
- Airflow
- Kubeflow
Benefits
Großzügige Elternzeit
- Paid parental leave
Gesundheits- & Fitnessangebote
- Comprehensive medical coverage
Mentale Gesundheitsförderung
- Emotional and mental health support
Attraktive Vergütung
- Compensation packages
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snap Inc erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Snap Inc
Branche
IT
Beschreibung
The company is a technology firm that empowers people to express themselves through its products like Snapchat and AR glasses.
Noch nicht perfekt?
- Snap Inc
Machine Learning Engineer, Infrastructure(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc.
Machine Learning Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Technology GmbH
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Vollzeitnur vor OrtBerufserfahrenWien - Snap Inc
Computer Vision engineer, Sensor Fusion(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien - Snap Technology GmbH
Software Engineer, C++ (Calibration)(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWien