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Machine Learning Platform Engineer

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Job

  • Level
    Erfahren
  • Job Feld
    IT, Data, DevOps
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Wien
  • Arbeitsmodell
    Hybrid, Onsite

    • Job Zusammenfassung

    In dieser Rolle entwickelst und betreibst du die Machine‑Learning‑Plattform für on‑device‑Modelle: du implementierst skalierbare Daten- und Trainingspipelines, automatisierst CI/CD, Quantisierung, Tests, Deployment und Monitoring.

    Job Technologien

    Deine Rolle im Team

    • In this role, you will be supporting the development of cutting edge machine learning technologies for the next generation of Spectacles.
    • Working from our Vienna office, you will be collaborating with other machine learning, computer vision and software teams of Spectacles teams around the world.
    • Own the ML platform to support the training, evaluation and deployment of cutting edge ML models for on-device applications.
    • Build data and training pipelines at scale.
    • Apply strong software engineering to deliver scalable, reproducible end-to-end ML workflows for deep learning and computer vision.
    • Develop optimization and release toolchain for automated testing/validation, CI/CD for ML, quantization/distillation and packaging.
    • Drive operational excellence by advocating and applying best practices for scalability and cost management.
    • Work together with our cross-functional engineering and research teams in computer vision and machine learning.

    Unsere Erwartungen an dich

    Ausbildung

    • Bachelors’ degree in a technical field such as computer science or equivalent experience.

    Qualifikationen

    • Excellent software design, development and debugging skills in the context of ML systems.
    • Proven track record of developing highly available systems which deal with large amounts of data.
    • Working knowledge of ML fundamentals.
    • Strong communications and interpersonal skills.
    • A genuine passion for learning new things and helping colleagues improve.
    • Ability to travel as needed.
    • Familiarity with Metaflow, Airflow, Kubeflow or similar workflow orchestration framework.

    Erfahrung

    • 4+ years of relevant industry experience.
    • Experience with Python, C++ or equivalent combined with a proven track record of learning on the job.
    • 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.

    Job Standorte

    Map of company locations

    • Standort Wien

      Österreich

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    Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Internet, IT, Telekom

    • Dev Reviews

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    Gesamt

    (1 Bewertung)
    3.6

    • Workingconditions

      4.6

    • Engineering

      2.7

    • Career Growth

      3.4

    • Culture

      4.0
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    Machine Learning Platform Engineer

    Snapchat
    Ort
    Wien
    Arbeitsmodell
    Hybrid, Onsite

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