20 beste Stellen als data science specialist in berlin, be – aktuell auf Personalsuche

Machine Learning Engineer
Sensmore —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
PhD position (m/f/x) - Data Intensive Internet Computing
Hasso-Plattner-Institut für Digital Engineering gGmbH —Potsdam
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Kienbaum Consultants International GmbH —Berlin
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Leibniz Institut für Astrophysik —Potsdam
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Bristol-Myers Squibb —Berlin
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Flinn —Berlin
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Agentic AI Specialist (m/w/d)
DCMS Service GmbH —Berlin
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- Weiterbildungsprogramme
Software Engineer | Focus Data Science & Data Management (w/m/d)
Kienbaum Consultants International GmbH —Berlin
- Teilzeit
- Azure
- Informatik
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Technical Founder's Associate (Berlin, on-site)
Sensmore —Berlin
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Direkt bewerben
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Technology Oversight Manager
eBay Inc. —Kleinmachnow
- Vollzeit
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BMC Helix Integration / Automation Specialist (Remote)
Müller`s Solutions —Berlin
- Hybrides Arbeiten
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- Bachelor
Direkt bewerben
Principal, Health Economics, Health Technology Assessment
IQVIA —Berlin
- Vollzeit
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Technical Support Specialist
Geotab —Berlin
- Wochenendarbeit möglich
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Direkt bewerben
8 Tage
(Senior) IT Specialist -Technology Innovation Garage (w/m/d)
Capgemini Sogeti —Berlin
- Online-Bewerbung
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(Senior) Data Architekt (w/m/d)
Kienbaum Consultants International GmbH —Berlin
- Teilzeit
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Key Account Manager, Hepatology – East Germany
Mirum Pharmaceuticals —Berlin
- Homeoffice
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6 Std.
Robotics Engineer
Sensmore —Berlin
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Direkt bewerben
Digital & IT Support Analyst (m/f/d)
Corning —Berlin
- Bachelor
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Linux Platform Integration - Ubuntu Systems Senior Engineer
Canonical —Berlin
- Informatik
- Reden in der Öffentlichkeit
- Bachelor
Direkt bewerben
Senior Software Engineer (m-w-d)
Bender GmbH & Co. KG —Berlin
- Hybrides Arbeiten
- Informatik
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2 Tage

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Machine Learning Engineer

Sensmore
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Informatik
Master
Elektrotechnik

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

data science specialist Jobs in berlin, be

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Ich möchte aktuelle Job-E-Mails für Stellen als data science specialist in berlin, be erhalten

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