20 beste Stellen als machine learning engineer in bayern – aktuell auf Personalsuche

Senior AI/ML Engineer (F/M/D)
Animore —München
- Vollzeit
- Doktorat
- Systemdesign
- Englisch
Direkt bewerben
Expert Perception Data Engineer (m/f/d)
driveblocks —München
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
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Bosch Group —Bamberg
- Teilzeit
- Informatik
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Azure Data Factory & Spark Data Engineer (w|m|d)
BridgingIT GmbH —München
- 50.000 € – 79.000 € pro Jahr
- Vollzeit
- Homeoffice
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- SQL
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Analyst / Analytics Engineer (w|m|d)
Exaring AG —München
- Vollzeit
- Hybrides Arbeiten
- SQL
- Kommunikationsfähigkeit
- Python
Direkt bewerben
6 Tage
(Senior) AI Engineer / MLOps Engineer (m/f/d)
VESTIGAS GmbH —München
- Vollzeit
- Azure
- Informatik
- Master
Direkt bewerben
Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich
Mistral AI —München
- Vollzeit
- Azure
- Doktorat
- Informatik
1 Tag
Head of Data Science
Flexa —München
- 140.000 € – 200.000 € pro Jahr
- Vollzeit
- Informatik
- Master
- Machine Learning
Direkt bewerben
Senior Data Engineer (all genders)
baramundi software GmbH —Augsburg
- Vollzeit
- Azure
- Informatik
- Java
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Werkstudent (m/w/d) AI-Produkte – Kreditvergleich
CHECK24 —München
- Informatik
- Englisch
- Master
- Flexible Arbeitszeiten
- Kostenlose Verpflegung
AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing
autonomous-teaming —München
- Vollzeit
- Militär
- C++
- Machine Learning
Direkt bewerben
Robotic Foundation Model Engineer - RoboGym (Mensch)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
Data Engineers, Analysts & Scientists (w|m|d)
BridgingIT GmbH —München
- Vollzeit
- Azure
- Informatik
- SQL
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Werkstudent für Data Engineering (m/w/d) (in Präsenz)
IfTA GmbH —Puchheim
- Teilzeit
- Informatik
- Englisch
- Java
- Kostenlose Verpflegung
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Software Engineer, Data Platform
Tools for Humanity —München
- Vollzeit
- Systemdesign
- SQL
- AWS
Group Lead AI Engineering - RoboGym (Mensch)
Neura Robotics GmbH —München
- Vollzeit
- Azure
- Informatik
- Englisch
Group Lead AI Engineering - RoboGym (Mensch)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
Cloud Data Engineer (m/w/d)
Woodmark Consulting GmbH —Grasbrunn
- Vollzeit
- Englisch
- Java
- SQL
Direkt bewerben
Senior Data Scientist Workforce Optimization (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- Datenanalyse
- AWS
- Flexible Arbeitszeiten
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Group Lead AI Engineering - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Azure
- Doktorat
- Informatik
Direkt bewerben

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machine learning engineer jobs near bayern

Senior AI/ML Engineer (F/M/D)

Animore
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

TensorFlow
CI/CD
Doktorat
Kubernetes
PyTorch
Systemdesign
Englisch
Forschungserfahrung
Elektrotechnik
Master
C++
Docker
Machine Learning
Deep learning
Linux
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

The Opportunity

As a Senior AI/ML Engineer, you will work at the intersection of foundation models and robotics, developing systems that combine vision, language, and action for embodied intelligence.

You will help bridge cutting-edge AI research with real-world robotic applications, ensuring that large-scale models can operate reliably in physical environments. This role sits at the core of building robots that can perceive, reason, and act intelligently in dynamic settings.

Your Responsibilities

Design and train foundation models that integrate vision, language, and actions for embodied intelligence
Adapt LLMs and VLMs for robotic control, planning, and interactive behavior, enabling context-aware decision making
Develop AI-driven control policies for manipulation, grasping, and motion planning using reinforcement learning, imitation learning, and foundation model approaches
Build modular, scalable, and high-performance data processing, training, and inference pipelines for large-scale datasets
Design reproducible workflows for training, evaluation, and deployment, including benchmarking for generalization, safety, and task success
Stay current with advances in AI and robotics, translating research into production systems and contributing to papers, patents, or open-source work

Technologies

Python, C++
PyTorch (or TensorFlow / JAX)
Transformer-based models (LLMs, VLMs, multimodal architectures)
Distributed training frameworks
Linux, Docker (Kubernetes nice to have)
ML pipelines and model deployment systems

Requirements

Must Have

- MSc (6+ years industry) or PhD (2+ years industry) in Computer Science, Robotics, Electrical Engineering, AI, or related field
- Strong background in machine learning, deep learning, and optimization
- Hands-on experience with transformer-based architectures (LLMs, VLMs, multimodal models)
- Strong Python skills and good proficiency in C++
- Experience with PyTorch (or TensorFlow / JAX)
- Solid software engineering skills (clean code, testing, system design, CI/CD)
- Strong mathematical and statistical foundation
- Experience working in Linux environments and with Docker

Nice to Have

- Experience with reinforcement learning or imitation learning
- Robotics experience (perception, control, or manipulation systems)
- Experience with distributed training at scale
- Kubernetes or large-scale deployment systems
- Publications, open-source contributions, or research background in AI/ Robotics

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 bayern

Senior AI/ML Engineer (F/M/D)

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Werkstudent Data Science mit Schwerpunkt Bildverarbeitung (w/m/div.)

Azure Data Factory & Spark Data Engineer (w|m|d)

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(Senior) AI Engineer / MLOps Engineer (m/f/d)

Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich

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AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing

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Group Lead AI Engineering - RoboGym (Mensch)

Cloud Data Engineer (m/w/d)

Senior Data Scientist Workforce Optimization (m/f/d)

Group Lead AI Engineering - RoboGym (human)

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in bayern erhalten

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