20 beste Stellen als ai/ml scientist & engineer in berlin, be – aktuell auf Personalsuche

Applied Scientist II, AFT AI, Amazon AFT AI
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
4 Tage
Applied Scientist, Amazon Robotics R&D
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
8 Tage
AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
Data Scientist/ML Engineer (m/f/d)
WebMD —Berlin
- Vollzeit
- SQL
- Machine Learning
- Python
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
Direkt bewerben
Data Scientist, Optimizations
Abacus Medicine Group —Berlin
- Azure
- Künstliche Intelligenz
- Kommunikationsfähigkeit
13 Tage
Product Manager (f/m/d) - AI
smartclip Europe GmbH —Berlin
- Homeoffice
- Produktmanagement
- Künstliche Intelligenz
Principal AI/ML Scientist & Engineer
Pipedrive —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Künstliche Intelligenz
- Umzugskostenzuschuss
- Flexible Arbeitszeiten
Direkt bewerben
Data Scientist
adsquare GmbH —Berlin
- 60.000 € – 70.000 € pro Jahr
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
AI/ML Engineer (all genders)
Sunday Natural Products GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Datenbanken
10 Tage
Software Engineer (m/f/d) AI/GenAI
EPAM Systems, Inc. —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Java
Senior ML Research Engineer – AI & Generative Recommendation (m/f/d)
adjoe —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Forschungserfahrung
- Employee Assistance Program
- Flexible Arbeitszeiten
Direkt bewerben
3 Tage
(Senior) Data Scientist - Physical AI & Computer Vision (all genders)
EXXETA —Berlin
- Englisch
- Mit Reiseanteil
- PC-Kenntnisse
- Homeoffice-Möglichkeit
Senior Machine Learning Engineer
Valmet Inc. —Berlin
- Vollzeit
- Master
- SQL
- AWS
Staff/Lead Python Engineer (ML Platform/Ops)
Mimica —Berlin
- Vollzeit
- Homeoffice
- Master
- Softwareentwicklung
- Python
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Founding Forward Deployed Engineer
Kuro Technology —Berlin
- 72.000 € – 100.000 € pro Jahr
- Vollzeit
- Azure
- Master
- AWS
Direkt bewerben
Chemical Data Scientist
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Datenanalyse
- Master
Direkt bewerben
Senior Machine Learning Scientist
Intercom —Berlin
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
- Homeoffice-Möglichkeit
Software Engineer, Infrastructure
Dunia Innovations GmbH —Berlin
- Vollzeit
- DevOps
- Python
Direkt bewerben
Machine Learning Scientist
Nucs AI —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben

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Weitere Job-Standorte erkunden

ai/ml scientist & engineer jobs near berlin, be

Applied Scientist II, AFT AI, Amazon AFT AI

Amazon Development Center Germany GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 4 Tagen

Qualifikationen

Data-Mining
Doktorat
PyTorch
NumPy
Forschungserfahrung
Master
Pandas
Machine Learning
Deep learning
Computerlinguistik
Softwareentwicklung
A/B-Test
Künstliche Intelligenz
Wirtschaft
Python

Vollständige Stellenbeschreibung

DESCRIPTION

Are you excited about developing agentic AI, LLM and computer vision models that revolutionize Amazon's Fulfillment network? Are you looking for opportunities to apply state-of-the-art AI on real-world problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience — at Amazon scale. To this end, we are looking for an Applied Scientist who will build and deploy models that make smarter decisions on a wide array of multi-modal signals. Together, we will be pushing beyond the state of the art in optimizing one of the most complex systems in the world: Amazon's Fulfillment Network.

Key job responsibilities
In this role, you will build agentic AI solutions and multi-modal deep learning models that understand how products and packages flowing through Amazon’s fulfillment network. You will build models that solve challenging problems like understanding warehouse operations systems, or visual defect detection on Amazon's entire retail catalog (billions of different items, thousands of new items every day). You will work with a diverse set of very large multi-modal real-world datasets, including imagery, natural language and structured data. You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions.

A day in the life
AFT AI delivers the AI solutions that empower Amazon’s fulfillment network to make smarter decisions. You will work on an interdisciplinary project involving scientists and engineers with deep expertise in developing state-of-the-art AI solutions at scale. You will work with images, videos, natural language, and sequences of events from existing or new hardware. You will adapt state-of-the-art agentic AI, deep learning, language understanding and computer vision techniques to develop solutions for business problems in the Amazon Fulfillment Network.

About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

AFT AI is spread across NA (Bellevue, WA) and Europe (Berlin, Germany). We are hiring candidates to work out of the Berlin location.

Publicly available articles showcasing some of our work:

Visual Defect Detection: https://www.amazon.science/blog/novel-kaputt-dataset-sets-new-benchmark-for-large-scale-visual-defect-detection
Eluna: https://www.aboutamazon.com/news/operations/new-robots-amazon-fulfillment-agentic-ai

BASIC QUALIFICATIONS

PhD, or a Master's degree and experience in solving business problems through machine learning, data mining and statistical algorithms
Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Strong programming proficiency in Python with production-quality code standards; deep technical expertise with PyTorch and proficiency with the modern ML stack (Pandas, NumPy, scikit-learn, Hugging Face Transformers)
Demonstrated ability to design and execute end-to-end ML projects from research through production deployment, with experience in model monitoring and iterative improvement
Strong expertise in modern deep learning architectures including transformers and diffusion models, with hands-on experience in training optimization techniques (distributed training, mixed precision, gradient accumulation) and model compression methods (quantization, pruning, distillation)
Experience fine-tuning large language models (GPT, LLaMA, Claude) and vision-language models (CLIP, LLaVA, Qwen)
Proven experience developing agentic AI systems using state-of-the-art frameworks (LangChain, Strands, etc.) with ability to design tool-augmented reasoning systems, RAG systems, and advanced prompt engineering techniques (chain-of-thought, few-shot)
Strong knowledge and hands-on experience across multiple ML domains including computer vision (object detection, segmentation, classification), natural language processing (text generation, information extraction), and multimodal learning
Understanding of ML systems design including model serving infrastructure, A/B testing frameworks, and MLOps best practices

PREFERRED QUALIFICATIONS

Experience in professional software development
Experience with explainable machine learning and artificial intelligence methodologies and tools
Experience working with large language models (GPT, LLaMA, Claude) and vision-language models (CLIP, LLaVA, Qwen) in production settings
Experience collaborating on cross-functional ML initiatives with demonstrated impact on product metrics
Multiple publications in top-tier venues, including co-authored papers or contributions to ML research communities
Experience with generative AI techniques including diffusion models for image/video synthesis, autoregressive models for multimodal generation, and controllable generation systems
Experience with specialized ML domains such as few-shot learning, meta-learning, or domain adaptation; ability to build models that handle distribution shifts or long-tail scenarios

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Erweiterte Suche

ai/ml scientist & engineer Jobs in berlin, be

Applied Scientist II, AFT AI, Amazon AFT AI

Applied Scientist, Amazon Robotics R&D

AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI

Data Scientist/ML Engineer (m/f/d)

Data Scientist, Optimizations

Product Manager (f/m/d) - AI

Principal AI/ML Scientist & Engineer

Data Scientist

AI/ML Engineer (all genders)

Software Engineer (m/f/d) AI/GenAI

Senior ML Research Engineer – AI & Generative Recommendation (m/f/d)

(Senior) Data Scientist - Physical AI & Computer Vision (all genders)

Senior Machine Learning Engineer

Staff/Lead Python Engineer (ML Platform/Ops)

Data Science Consultant - QuantumBlack, AI by McKinsey

Founding Forward Deployed Engineer

Chemical Data Scientist

Senior Machine Learning Scientist

Software Engineer, Infrastructure

Machine Learning Scientist

Ich möchte aktuelle Job-E-Mails für Stellen als ai/ml scientist & engineer in berlin, be erhalten

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