Machine Learning Research Engineer (m/f/d) at Thyssenkrupp
München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

0.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Type of contract:
Part-time, Permanent
Experience level:
Professionals
Remote work:
Hybrid
Job field:
Data Analytics & Business Intelligence
Status:
Ongoing recruitment, entry date flexible
Posting date:
2025/08/14
Job number:
DERS17198

Your responsibilities

  • Develop applied Al models for real-time perception, classification, and situational understanding
  • Work with multi-modal data
  • Build scalable, low-latency inference pipelines for edge and hybrid (onboard + offline) environments
  • Design and evaluate Al-based decision support systems (rule+ML or hybrid)
  • Collaborate with software, platform, and integration teams to deploy on real hardware
  • Maintain focus on robustness, explainability, and safety

Your profile

  • Hold an MSc or PhD in Computer Science or closely related fields in machine learning, signal processing
  • Strang background in machine learning (deep learning, statistical learning, representation learning)
  • Practical experience in sensor data classification, signal exploitation, or computer vision
  • Familiar with Python, Pytorch,
  • Strang software engineering standards (Cl/CD, testing, modularity)
  • Fluent in English and German
Responsibilities
  • Develop applied Al models for real-time perception, classification, and situational understanding
  • Work with multi-modal data
  • Build scalable, low-latency inference pipelines for edge and hybrid (onboard + offline) environments
  • Design and evaluate Al-based decision support systems (rule+ML or hybrid)
  • Collaborate with software, platform, and integration teams to deploy on real hardware
  • Maintain focus on robustness, explainability, and safet
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