Job
- Level
- Experienced
- Location
- Unterschleißheim
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop advanced machine learning models for vehicle monitoring, train neural networks, and optimize image processing applications. You will collaborate closely with developers to implement ML strategies.
Job Technologies
Your role in the 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.
- Überwachen und analysieren Sie die Modellleistung in Produktionsumgebungen.
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Our expectations of you
Education
- Master's degree in Computer Science or a related field (please include your diploma and transcript with your application).
Qualifications
- Solide Kenntnisse aktueller neuronaler Netzwerkarchitekturen.
- Strong programming skills in Python and relevant libraries such as PyTorch and OpenCV.
- Understanding of data distributions and their impact on model training.
Experience
- 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.
- Erfahrung im Umgang mit Microsoft Azure für ML-Workflows.
- Experience implementing research papers, ideally showcased on a personal GitHub profile.
- Knowledge of and experience in applying modern software engineering best practices.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
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
- Founding Year
- 1992
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Machine Learning Engineer
- Location
- Unterschleißheim
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
