Job
- Level
- Erfahren
- Ort
- Unterschleißheim
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position entwickelst du fortschrittliche Machine-Learning-Modelle für die Fahrzeugüberwachung, trainierst neuronale Netze und optimierst Anwendungen zur Bildverarbeitung. Du arbeitest eng mit Entwicklern zusammen, um ML-Strategien umzusetzen.
Job Technologien
Deine Rolle im Team
- We are looking for a motivated and skilled ML Engineer to join our AI team.
- In this role, you will contribute to a range of exciting projects in production quality monitoring and vehicle interior monitoring.
- Working closely with software developers and data engineers, you will help design, train, deploy, and evaluate state-of-the-art machine learning algorithms for our automotive demonstrators.
- Translate high-level requirements into a well-defined ML strategy.
- Identify state-of-the-art machine learning and computer vision techniques suited to our use cases.
- Design, implementation, and analysis of machine learning and computer vision applications, from proof-of-concept to production.
- Train and evaluate deep neural networks for tasks such as image classification, object detection, segmentation, and pose estimation.
- Develop well-structured, documented code for training pipelines, data pipelines, qualitative analysis, and performance evaluation.
- Perform data sampling and analysis for specific ML tasks.
- Analyze and document the quantitative and qualitative performance of ML models.
- Provide feedback and recommendations on data collection and labeling.
- Monitor and analyze model performance in production environments.
Unsere Erwartungen an dich
Ausbildung
- Master's degree in Computer Science or a related field (please include your diploma and transcript with your application).
Qualifikationen
- Solid knowledge of current neural network architectures.
- Strong programming skills in Python and relevant libraries such as PyTorch and OpenCV.
- Understanding of data distributions and their impact on model training.
Erfahrung
- At least 3 years of professional experience in machine learning and computer vision, or a PhD in machine learning.
- Hands-on experience training and evaluating models for tasks such as object detection, classification, keypoint detection, and segmentation.
- Experience using Microsoft Azure for ML workflows.
- Experience implementing research papers, ideally showcased on a personal GitHub profile.
- Knowledge of and experience in applying modern software engineering best practices.
Unser Angebot
- The opportunity to take on responsibility and make a real impact.
- Flat hierarchies and flexible working hours.
- A new, modern office in Unterschleißheim, with the option to work from home part of the time.
- A highly motivated team of software developers and machine learning experts working together to make driving even safer.
- Working in an agile (Scrum) setting on a variety of ML tasks with real impact on production efficiency.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Simi Reality Motion Systems
Simi ist der weltweit operierende Innovationsführer für Motion-Capture-Software und Komplettsysteme zur Erfassung und Analyse menschlicher Bewegungen. Das mittelständische Münchner Unternehmen mit familiärer Tradition und Tochterfirmen in Los Angeles und Shanghai ist seit Mai 2019 Teil der ZF Group. Auf dieser strategischen Grundlage planen wir unser Wachstum und einen weiteren Ausbau unserer Marktaktivitäten in den Sektoren Sport, Medizin und lnsassenerkennung im Automotive-Bereich.
Description
- Gründungsjahr
- 1992
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Machine Learning Engineer
- Ort
- Unterschleißheim
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
