IQM Quantum Computers
Quantum Algorithms Engineer (Advanced and Senior), QML(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
TETerra Quantum
Applied Machine Learning Engineer, Industry Solutions(m/w/x)
Vollzeitmit HomeofficeJunior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing ML pipelines for time series, routing, GenAI, NLP, and computer vision, integrating quantum layers into hybrid models. Master's degree and hands-on classical ML experience required. Quantum technologies exposure, high degree of freedom.
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Anforderungen
- Master's degree in computer science, mathematics, data science, statistics, engineering, or physics
- Hands-on classical ML experience (coursework, internship, project, or role)
- Clear interest in applied ML
- Strong command of Python
- Strong command of standard data science stack (NumPy, pandas, scikit-learn)
- Strong command of PyTorch or TensorFlow
- Comfort with classical ML toolkit beyond deep learning
- Good judgement on ML method selection
- Experience designing rigorous experiments
- Experience reporting results honestly with uncertainty
- Software engineering fundamentals
- Version control with Git
- Testing fundamentals
- Reproducible environments
- Configuration-driven experiments
- Curiosity about quantum computing
- Willingness to pick up quantum concepts on the job
- Familiarity with at least one applied ML vertical (plus)
- Goal-oriented and analytical
- Ability to work independently
- Ability to work as part of an interdisciplinary team
- Proficiency in written and spoken English
- Legal right to live and work in EU or Switzerland
Aufgaben
- Build and deliver end-to-end machine learning solutions
- Design ML pipelines for time series, routing, GenAI, NLP, and computer vision
- Select appropriate classical ML methods based on data characteristics
- Integrate quantum layers into hybrid models as architectural components
- Apply classical ML techniques to enhance hybrid model performance
- Clean and preprocess data for ML pipelines
- Protect against data leakage and design cross-validation strategies
- Construct baseline models and perform statistical significance testing
- Create feature representations compatible with quantum components
- Profile and improve training stability in noisy gradient environments
- Contribute to internal ML libraries and SDKs
- Support research and applied product development
- Translate quantum ML algorithms into testable implementations
- Evaluate the benefits and limitations of quantum layers in applied tasks
Ausbildung
Keine Ausbildung erforderlich
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
PythonNumPypandasscikit-learnPyTorchTensorFlowXGBoostLightGBMrandom forestsGitPennyLaneQiskitCirq
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Sinnstiftende Arbeit
- High degree of freedom
Sonstige Vorteile
- Quantum Technologies exposure
- Part of leading European technology firm
Moderne Technikausstattung
- Cutting-edge technology exposure
Lockere Unternehmenskultur
- Welcoming, friendly, and professional colleagues
- Diverse and supportive atmosphere
Weiterbildungsangebote
- Personal development plan
Startup-Atmosphäre
- Innovation and initiative encouraged
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Terra Quantum 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.
Zur Originalanzeige bei Terra QuantumÜber das Unternehmen
TE
ScienceMünchen
The company is a future-focused quantum services and technology company working on making the second quantum revolution a reality.
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