Snap Inc
Machine Learning Engineer, Infrastructure(m/w/x)
Full-timeOn-siteExperienced
Wien
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SNSnap Inc
Machine Learning Platform Engineer(m/w/x)
Wien
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Docker
- Kubernetes
- Istio/Envoy
- NoSQL solutions
- Memcache/Redis
- Google/AWS services
- Tensorflow
- PyTorch
- Metaflow
- Airflow
- Kubeflow
Benefits
Generous Parental Leave
- Paid parental leave
Healthcare & Fitness
- Comprehensive medical coverage
Mental Health Support
- Emotional and mental health support
Competitive Pay
- Compensation packages
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 Platform Engineer(m/w/x)
Wien
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Docker
- Kubernetes
- Istio/Envoy
- NoSQL solutions
- Memcache/Redis
- Google/AWS services
- Tensorflow
- PyTorch
- Metaflow
- Airflow
- Kubeflow
Benefits
Generous Parental Leave
- Paid parental leave
Healthcare & Fitness
- Comprehensive medical coverage
Mental Health Support
- Emotional and mental health support
Competitive Pay
- Compensation packages
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 through its products like Snapchat and AR glasses.
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