Snap Inc
Machine Learning Platform Engineer(m/w/x)
Full-timeOn-siteExperienced
Wien
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SNSnap Inc
Machine Learning Engineer, Infrastructure(m/w/x)
Wien
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building ML platform and scalable data pipelines for AR glasses and social media products. Proven track record developing highly available systems required. Paid parental leave, emotional and mental health support.
Requirements
- Excellent software design, development and debugging skills
- Proven track record of developing highly available systems
- Working knowledge of ML fundamentals
- Strong communications and interpersonal skills
- Genuine passion for learning new things
- Ability to travel as needed
- Bachelors’ degree in a technical field or equivalent experience
- 2+ 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
- Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions
- 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
- 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 for ML, quantization, distillation, and packaging
- Advocate for best practices in scalability and cost management
- Collaborate with cross-functional engineering and research teams
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Docker
- Kubernetes
- Istio/Envoy
- NoSQL solutions
- 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 programs
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 Engineer, Infrastructure(m/w/x)
Wien
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building ML platform and scalable data pipelines for AR glasses and social media products. Proven track record developing highly available systems required. Paid parental leave, emotional and mental health support.
Requirements
- Excellent software design, development and debugging skills
- Proven track record of developing highly available systems
- Working knowledge of ML fundamentals
- Strong communications and interpersonal skills
- Genuine passion for learning new things
- Ability to travel as needed
- Bachelors’ degree in a technical field or equivalent experience
- 2+ 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
- Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions
- 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
- 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 for ML, quantization, distillation, and packaging
- Advocate for best practices in scalability and cost management
- Collaborate with cross-functional engineering and research teams
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Docker
- Kubernetes
- Istio/Envoy
- NoSQL solutions
- 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 programs
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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