20 beste Stellen als machine learning engineer (m/w/d) in bayern – aktuell auf Personalsuche

Computer Vision Engineer – Object Detection (m/w/d)
autonomous-teaming —München
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Trimble —München
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Resaro AI —München
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Knowledge and Ontology Engineer - Insurance (m/f/d)*
Munich Re —München
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- Hybrides Arbeiten
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Senior Machine Learning Engineer
Lobster DATA GmbH —Tutzing
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Data Science Intern (all genders)
SKD SE —München
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Machine Learning Engineer (m/w/d) - Foundation Models
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Senior ML Engineer – Workforce Intelligence (m/f/d)
SIXT Germany —München
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Machine Learning Engineer (m/w/d)
Hetzner Online GmbH —Gunzenhausen
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Data Scientist Customer Analytics & Machine Learning (w/m/d)
HUK-COBURG-Allgemeine Versicherung AG —Coburg
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Senior Engineer Machine Learning / AI (w/m/d)
HUK-COBURG-Allgemeine Versicherung AG —Coburg
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Machine Learning Engineer
Redcley —München
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ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming —München
- Vollzeit
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(Senior) AI Engineer (m/f/d)
Unternehmensgruppe Theo Müller —Freising
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14 Tage

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Computer Vision Engineer – Object Detection (m/w/d)

autonomous-teaming
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents

Qualifikationen

PyTorch
R
Git
Docker
Deep learning
Python

Vollständige Stellenbeschreibung

What we offer

Work in an international, agile team creating the future of autonomous systems
Grow your career in a expanding and ambitious engineering team
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
Benefit from a steep learning curve and continuous development
Enjoy team events and a strong, collaborative culture

Your mission

Build, adapt, and train neural networks for object detection and perception tasks using time-series data
Implement perception algorithms that extract and leverage temporal context across multiple frames
Design, implement, and optimize custom loss functions, augmentations, and architectures
Collect, prepare, and curate datasets from the real world – not pre-cleaned academic datasets
Supervise data annotation by refining labeling guidelines and assuring adherence to them
Evaluate and debug models using AP, Precision/Recall, mIoU, and video-based metrics
Deploy models into production as part of an integrated multi-sensor system (camera, radar, IR, acoustic, etc.)

Your profile

Strong experience in computer vision and deep learning, with a focus on object detection using one-stage or two-stage models (YOLO, FCOS, DETR, Faster R-CNN, etc.)
Strong experience with temporal models such as RNNs, ConvLSTMs, or transformer-based tracking
Ability to modify and extend network architectures, not just use them off the shelf
Hands-on experience in dataset collection, labeling, augmentation, and training
Proven ability to train object detection models from scratch or adapt them to custom classes and data
Familiarity with perception challenges specific to robotics, such as motion blur, lighting variation, occlusion, or limited compute
Proficiency in PyTorch, Python, Git, Docker

Nice to have

Experience with tracking algorithms (DeepSORT, ByteTrack, Kalman Filters).
Prior work with non-visual sensors such as infrared, acoustic, radar, or LiDAR for object detection and fusion.
Exposure to model optimization and compression (quantization, pruning, distillation).
Experience in the domain of UAVs, familiarity with ROS.

What else

Intrinsic motivation, attention to detail, and strong problem-solving mindset
Creative thinker with a structured and systematic approach
Humble and collaborative — prioritizes collective success over individual recognition
High ethical standards and disciplined work ethic
Extra-curricular leadership or achievements are a bonus
Fluent in English
Nationality of a NATO member nation or close ally is required
Successful candidates will be required to obtain security clearance

Why us?

Join us to shape the future of AI-driven defense!

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.
We look forward to receiving your detailed application via our online form.

The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

About us

The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

Who we are: Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.

What we do: We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale — including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.

How we work: We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust — with a shared commitment to growing and building together.

Where we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.

Direkt bewerben

Erweiterte Suche

machine learning engineer (m/w/d) Jobs in bayern

Computer Vision Engineer – Object Detection (m/w/d)

DATA SCIENTIST (M/F/D)

Machine Learning Engineer

Machine Learning Systems & Infrastructure Engineer

Machine Learning Engineer (all genders)

Machine Learning Engineer (all genders)

SW Optimization Engineer AI/ML

Application Engineer (German-speaking)

AI Internship / Working Student

Knowledge and Ontology Engineer - Insurance (m/f/d)*

Senior Machine Learning Engineer

Data Science Intern (all genders)

Machine Learning Engineer (m/w/d) - Foundation Models

Senior ML Engineer – Workforce Intelligence (m/f/d)

Machine Learning Engineer (m/w/d)

Data Scientist Customer Analytics & Machine Learning (w/m/d)

Senior Engineer Machine Learning / AI (w/m/d)

Machine Learning Engineer

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

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

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer (m/w/d) in bayern erhalten

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