11 beste Stellen als machine learning engineer in potsdam, bb – aktuell auf Personalsuche

Machine Learning Engineer
Sensmore —Potsdam
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
1 Tag
Machine Learning Engineer
Almedia —Berlin
- 80.000 € – 210.000 € pro Jahr
- Vollzeit
- Machine Learning
- Python
Machine Learning Engineer (m/w/d)
Doopic GmbH —Berlin
- Per E-Mail
- Azure
- Englisch
- AWS
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
6 Tage
Applied Researcher - Query Science
eBay Inc. —Kleinmachnow
- Vollzeit
- Doktorat
- Java
- C++
Robotics Engineer - AI
Sensmore —Potsdam
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Data Engineering Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Informatik
- SQL
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
7 Tage
(SENIOR) AGENTIC AI ENGINEER (M/W/D)
München —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
AI/ML Engineer (m/w/d) – Generative AI + Legal AI
YPOG —Berlin
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Master
- Machine Learning
- Weiterbildungsprogramme
Direkt bewerben
5 Std.

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Machine Learning Engineer

Sensmore
Potsdam

Direkt bewerben

Details zur Stelle

Vollzeit
vor 1 Tag

Qualifikationen

Doktorat
Informatik
PyTorch
Master
C++
Machine Learning
Deep learning
Elektrotechnik
Python

Vollständige Stellenbeschreibung

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

Join us and play a pivotal role in transforming the automation landscape in heavy industries.

Role Overview:
We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.

Key Responsibilities:

Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles.
Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI.
Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation.
Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.

Required Qualifications:

Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
Proficient in Python; strong experience with PyTorch.
Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).
Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin).
Solid understanding of machine learning, deep learning, and autonomous systems.

Preferred Skills:

Experience with transformer-based perception architectures or VLA models.
Familiarity with BEV perception and multitask learning.
Experience with C++, ROS, and mmdetection.
Experience with perception in off-road, adverse-weather, or otherwise challenging conditions.
Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics.

What We Offer:

Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
Tailor your own career path, whether you like to become technical specialist or technical team lead
Experience a great team culture, beverages, and an amazing office environment

Benefits:

Attractive compensation package and stock options.
Beverages on-site and regular social events.
Engage with top-tier researchers, engineers, and thought leaders.
Influence the future of robotic technologies and tackle significant technological challenges.
Assistance with relocation to Berlin.

About Us:

Heavy machinery, light years ahead.

We are proudly backed by Point Nine and other Tier 1 investors.

Direkt bewerben

Erweiterte Suche

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Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger

Data Science Consultant - QuantumBlack, AI by McKinsey

Data Engineering Consultant - QuantumBlack, AI by McKinsey

Data Engineer (all genders)

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Other jobs to consider

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in potsdam, bb erhalten

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