14 beste Stellen als machine learning engineer in münchen, by – aktuell auf Personalsuche

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Direkt bewerben
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Quantum-Systems GmbH —Gilching
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- Doktorat
- Forschungserfahrung
- Master
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- Bachelor
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Neura Robotics —München
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- Doktorat
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SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- Master
- Machine Learning
- Flexible Arbeitszeiten
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2 Tage
Data Science Intern (all genders)
SKD SE —München
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- Azure
- Informatik
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AutoScout24 —München
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- AWS
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ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming —München
- Vollzeit
- AWS
- Python
Direkt bewerben
3 Tage
Data Engineering Consultant (w/m/x) - Germany
Avanade —München
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
10 Tage
Machine Learning Werkstudent/Praktikum (m/w/d)
Gini GmbH —München
- Teilzeit
- Informatik
- Datenanalyse
- Englisch
- Flexible Arbeitszeiten
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Teamlead AI Engineering - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
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8 Tage
Group Lead AI Engineering - RoboGym (Mensch)
Neura Robotics —München
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Werkstudent für Data Engineering (m/w/d) (in Präsenz)
IfTA GmbH —Puchheim
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Senior Data Engineer (F/M/D)

Animore
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

PyTorch
Spark
NumPy
Englisch
Google Cloud Platform
AWS
Python

Vollständige Stellenbeschreibung

The Opportunity

We’re looking for a Senior Data Engineer to architect and scale the data backbone powering next-generation AI models in robotics and real-world environments.

This role sits at the intersection of distributed systems, multimodal data processing, and applied machine learning, with a strong focus on building high-quality datasets for robotic foundation models. You will ensure that data pipelines, infrastructure, and data strategy directly translate into measurable improvements in model performance.

Your Responsibilities

Drive the model–data loop by connecting application requirements with data collection, and translating model failures into data-driven improvements through collection, curation, and augmentation
Build and scale distributed data pipelines (Ray/Anyscale or similar) for TB-scale video, sensor, and robotics datasets
Design multimodal data schemas aligning video, actions, and high-frequency sensor streams
Develop Python tooling for data quality, including cleaning, anomaly detection, and dataset versioning
Own dataset quality and coverage, including annotation workflows, data diversity, and storage trade-offs
Lead a small team and coordinate with data providers and annotation vendors
Oversee real-world data collection, including technical setup, compliance, and secure data handling

Technologies

Python (advanced, production-grade)
Ray / Anyscale or Apache Spark
AWS / GCP for large-scale data and GPU training pipelines
Video and sensor data formats (H.264/H.265, ROS bags, MCAP)
PyTorch, NumPy
DVC, LakeFS or similar data versioning tools
Distributed data processing and storage systems

Requirements

Must Have

- 5+ years in Data/ML Engineering, including 2+ years in a senior or lead role
- Experience with large-scale real-world data (robotics, autonomous systems, or video AI)
- Strong experience with Ray/Anyscale or Spark for distributed pipelines
- Advanced Python (performance, concurrency, ML stack like NumPy/PyTorch)
- Experience working with video and sensor data formats (e.g., H.264/H.265, ROS bags, MCAP)
- Experience building scalable data pipelines for GPU-based training workloads (AWS/GCP)
- Experience with data versioning tools such as DVC or LakeFS
- Proven experience owning systems and mentoring engineers

Nice to Have

- Experience building datasets for multimodal foundation models (VLA, VLM or similar)
- Robotics fundamentals (sensor synchronization, 3D transforms)
- Experience with active learning or data-centric ML workflows

Benefits

Competitive compensation package
Various employee subsidies and perks, including public transportation and Wellpass
Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
Opportunity to make a real impact by working on cutting-edge robotics and AI systems
Fast growth potential in a rapidly evolving company and industry
International office environment with English as the official working language

Recruiting Process

Your recruiting partner for this role is Madhulika (she/her). You can expect a screening call and up to 4 rounds of interviews including an onsite visit to our office in Munich to meet with the team.

We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.

If you need any accommodations during the recruiting process, just reach out to your recruiting partner.

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in münchen, by

Senior Data Engineer (F/M/D)

Computer Vision & AI Engineer - Interceptor C‑UAS (m/f/d)

Werkstudent (m/w/d) AI-Produkte – Kreditvergleich

AI Internship / Working Student

Group Lead AI Engineering - RoboGym (human)

Applied AI Engineer Intern (m/f/d)

Data Science Intern (all genders)

Senior Data Scientist (m/f/d)

ML Data Engineer (m/f/d) - Sensor Data & Pipelines

Data Engineering Consultant (w/m/x) - Germany

Machine Learning Werkstudent/Praktikum (m/w/d)

Teamlead AI Engineering - RoboGym (human)

Group Lead AI Engineering - RoboGym (Mensch)

Werkstudent für Data Engineering (m/w/d) (in Präsenz)

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