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Working Student - AI / ML

Snkevor 1 TagWerkstudent
HybridEnglisch erforderlichTechKI, ML & Data Science

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  • Gehalt

    Nicht angegeben

    Median für Tech in München: 17,26 €/Std., aus 100 Werkstudentenanzeigen mit Gehaltsangabe der letzten 12 Monate. Gehaltsübersicht

  • Voraussetzungen

    Studium: Informatik, Mathematik und Statistik oder vergleichbar

    Sprachen: Englisch gut

  • Benefits

    Flexible ArbeitszeitenKantine oder EssenszuschussTeam-Events
  • Arbeitgeber

    Wir listen 4 offene Werkstudentenjobs und Praktika bei Snke, davon 3 in München. Seit April 2026 haben wir dort 13 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von Snke

  • Ähnliche Stellen

    477 offene Stellen im Bereich Tech in München

    Davon: 34 % ohne Deutschkenntnisse, 55 % hybrid oder remote, 8 % mit Gehaltsangabe.

    61 der 477 Stellen kommen ohne Deutsch aus und sind hybrid oder remote, darunter auch diese.

  • Skills laut Anzeige

    Statistical analysisStatistical methodsComputer visionPythonMedical imagingAI model validation

Stellenbeschreibung

Beschreibung bereitgestellt von Snke

What You'll Do

As Working Student - AI / ML at Snke you will contribute to the development of cutting-edge AI solutions for medical image analysis. Working closely with our Machine Learning team in Munich, you will work on statistical analyses that help improve our medical image analysis models:

  • Develop tools to statistically compare AI models
  • Implement tools for identifying confounding variables and assess their impact on model results
  • Support the design, testing and validation of medical imaging AI models
  • Assist the ML engineers with day-to-day technical and operational tasks

What We're Looking For

  • Background in Computer vision, Informatics, Statistics, (Bio)medical imaging or a similar field
  • Strong interest in medical imaging AI and a passion for driving innovation in the field
  • Analytical mindset paired with strong teamwork and communication skills
  • Knowledge in Python and statistical methods, with a willingness to deepen your proficiency
  • Structured and independent working style with a high level of reliability
  • Good command of English in a professional environment

Why Snke

  • A supportive, international team connected by shared values and a culture of trust
  • Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes
  • Flexible working hours and a hybrid work model within Germany
  • Parking garage and secure underground bike storage
  • Subsidized company restaurant and in-house café
  • Regular after-work, team, and company events
  • Centrally located, modern workspace with a 212 m² rooftop terrace

Ready to apply?

We look forward to receiving your online application including your earliest possible start date.

We welcome applications from people of all backgrounds and identities. At Snke, we believe diversity drives innovation, helping us build smarter solutions and improve patient outcomes.

Contact person

Tatjana von Freyberg

About Us

Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms, digital health and software-driven medical technology. By delivering a trusted orchestration layer, Snke empowers healthcare providers, societies, registries, agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters, we have core teams in Chicago, Heidelberg, San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart, enabling and holistic-helping healthcare providers deliver meaningful change.

Es gelten:20-Stunden-Regel140/280-Tage-RegelWerkstudentenprivilegBrutto-Netto-Rechner

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