20 beste Stellen als phd data science in berlin – aktuell auf Personalsuche

Applied Scientist III, AFT AI, Amazon AFT AI
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
7 Tage
Applied Scientist II, AFT AI, Amazon AFT AI
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
7 Tage
Consultants - Materials Informatics
JEVVRS Business Consulting UG —Berlin
- Doktorat
- Datenanalyse
- Master
Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin
Oliver Wyman —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Applied Scientist, Amazon Robotics R&D
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
11 Tage
Biostatistics Lead (m/f/d)
Grünenthal —Berlin
- Vollzeit
- Doktorat
- Englisch
- Master
Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- AWS
Medical Writer (w/m/d)
Flinn.ai —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Vertrieb
- Bachelor
- Flexible Arbeitszeiten
Direkt bewerben
Robotics Software Engineer, Amazon Robotics R&D
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
11 Tage
Senior Expert (f/m/d) for “Material”
Siemens Energy —Berlin
- Vollzeit
- Doktorat
- Master
- Produktion
12 Tage
Senior Applied Scientist - Assortment Demand Forecast (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
- SQL
- Umzugskostenzuschuss
Neuroscience, HCI & Cognitive Research Lead (All Gender)
Doodle —Berlin
- Hybrides Arbeiten
- Doktorat
- Master
- Psychologie
Direkt bewerben
4 Tage
Senior Scientist / Lab Head (m/f/d) In Vitro & Genetic Toxicology
Nuvisan GmbH —Berlin
- Vollzeit
- Doktorat
- Laborerfahrung
- Englisch
ML Researcher, Representation Learning
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Englisch
- Forschungserfahrung
Direkt bewerben
Software Engineer, Data Infrastructure & Acquisition
Speechify —Berlin
- Homeoffice
- Doktorat
- Informatik
- Master
Machine Learning Scientist
Nucs AI —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Founding ML Engineer in the Flower Frontier Model Team (all seniority levels welcome) [Germany, UK, Global]
Flower Labs GmbH —Berlin
- Vollzeit
- Homeoffice
- Doktorat
- Schreibfähigkeiten
- Forschungserfahrung
Direkt bewerben
Senior Applied Scientist (All genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Python
- Umzugskostenzuschuss
7 Tage
PhD Research Internship – Robotics Engineer (VLM / VLA Models)
Sensmore —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
Direkt bewerben
Wiss. Mitarbeiter*in (PostDoc) (d/m/w) - zur Qualifikation
Technische Universität Berlin —Berlin
- Teilzeit
- Informatik
- Doktorat
- Informatik

Ich möchte aktuelle Job-E-Mails für Stellen als phd data science in berlin erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

phd data science jobs near berlin

Applied Scientist III, AFT AI, Amazon AFT AI

Amazon Development Center Germany GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 7 Tagen

Qualifikationen

Node.js
Doktorat
PyTorch
NumPy
Forschungserfahrung
Master
Pandas
C++
Machine Learning
Deep learning
Computerlinguistik
A/B-Test
Künstliche Intelligenz
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

5+ years of relevant, broad research experience after a PhD degree or equivalent qualification
Track record of first-author publications at top-tier peer-reviewed conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP) or patents in machine learning domains
Expert-level programming proficiency in Python with production-quality code standards, plus working knowledge of C++ for performance-critical applications; deep technical expertise with PyTorch and proficiency with the modern ML stack (Pandas, NumPy, scikit-learn, Hugging Face Transformers)
Proven ability to independently scope, design, and execute end-to-end ML projects from research through production deployment, including ownership of model monitoring, maintenance, and iterative improvement
Proven expertise in modern deep learning architecture design including transformers, diffusion models, and neural architecture search, with hands-on experience in designing and training self-supervised learning paradigms, training optimization techniques (distributed training across multi-node GPU clusters, mixed precision, gradient accumulation, parallelism strategies using DeepSpeed, FSDP, or Megatron-LM), and model compression methods (quantization, pruning, distillation)
Proven experience pre-training and fine-tuning large language models (GPT, LLaMA, Claude) and vision-language models (CLIP, LLaVA, Qwen)
Proven experience developing agentic AI systems deployed to production, using state-of-the-art frameworks (LangChain, Strands, etc.) with proven ability to design multi-agent workflows, tool-augmented reasoning systems, RAG systems and advanced prompt engineering techniques (chain-of-thought, few-shot, RLHF, DPO)
Extensive knowledge and proven production experience across multiple ML domains including computer vision (object detection, segmentation, 3D vision, depth estimation, point cloud processing), natural language processing (text generation, information extraction), and multimodal learning
Strong understanding of ML systems design including model serving infrastructure, A/B testing frameworks, feature stores, and MLOps best practices, such as annotation pipeline design, active learning pipelines, and AutoML/hyperparameter optimization techniques

PREFERRED QUALIFICATIONS

Hands-on experience with cutting-edge generative AI techniques including diffusion models for image/video synthesis, autoregressive models for multimodal generation, and compositional generation systems; expertise in controllable generation, style transfer, and neural rendering techniques
Deep expertise in model interpretability and explainability methods (attention visualization, feature attribution), with proven experience deploying interpretable AI systems in regulated or high-stakes production environments
Experience with specialized ML domains such as few-shot learning, meta-learning, continual learning, or domain adaptation; proven ability to build models that generalize across distribution shifts, handle long-tail scenarios, or adapt to new tasks with minimal data
Proven experience designing large language models (GPT, LLaMA, Claude) and vision-language models (CLIP, LLaVA, Qwen)
Experience leading cross-functional ML initiatives involving multiple teams or organizations, with demonstrated impact on company-wide metrics or strategic product launches; proven track record of mentoring junior scientists and engineers in advanced ML techniques
Published research contributions beyond first-authorship, including senior or corresponding author publications, invited talks at major conferences, or recognized leadership in ML research communities (program committee service, workshop organization, tutorial presentations)

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.

Jetzt bewerben

Erweiterte Suche

phd data science Jobs in berlin

Applied Scientist III, AFT AI, Amazon AFT AI

Applied Scientist II, AFT AI, Amazon AFT AI

Consultants - Materials Informatics

Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin

Applied Scientist, Amazon Robotics R&D

Biostatistics Lead (m/f/d)

Applied Scientist, Amazon Robotics

Medical Writer (w/m/d)

Robotics Software Engineer, Amazon Robotics R&D

Senior Expert (f/m/d) for “Material”

Senior Applied Scientist - Assortment Demand Forecast (all genders)

Neuroscience, HCI & Cognitive Research Lead (All Gender)

Senior Scientist / Lab Head (m/f/d) In Vitro & Genetic Toxicology

ML Researcher, Representation Learning

Software Engineer, Data Infrastructure & Acquisition

Machine Learning Scientist

Founding ML Engineer in the Flower Frontier Model Team (all seniority levels welcome) [Germany, UK, Global]

Senior Applied Scientist (All genders)

PhD Research Internship – Robotics Engineer (VLM / VLA Models)

Wiss. Mitarbeiter*in (PostDoc) (d/m/w) - zur Qualifikation

Ich möchte aktuelle Job-E-Mails für Stellen als phd data science in berlin erhalten

Related Searches

Weitere Job-Standorte erkunden

DESCRIPTION

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt