20 beste Stellen als phd engineering in berlin – aktuell auf Personalsuche

Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
Applied Scientist, Amazon Robotics R&D
Amazon Development Center Germany GmbH —Berlin
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Senior Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
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Applied Scientist, Amazon Music - DISCO, Music DISCO
Amazon Development Center Germany GmbH —Berlin
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Sr. Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
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Research Scientist, Thermocatalysis
Dunia Innovations GmbH —Berlin
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Senior ML Backend Engineer
Moody's —Berlin
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Applied Scientist II, AFT AI, Amazon AFT AI
Amazon Development Center Germany GmbH —Berlin
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Sr. Robotics Software Engineer, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
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Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
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Senior Data Scientist (m/f/d)
Flix SE —Berlin
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Realtime Robotics —Berlin
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Data Consultant (Manchester/Leeds)
Auticon —Berlin
- 26.500 € – 40.000 € pro Jahr
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Applied Scientist - LLM, Alexa Conversational Modelling Intelligence
Amazon Development Center Germany GmbH —Berlin
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ML Researcher, Representation Learning
Dunia Innovations GmbH —Berlin
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Founding Engineer
Junini GmbH —Berlin
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Applied Scientist, Amazon Robotics

Amazon Development Center Germany GmbH -
Berlin

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DESCRIPTION

Are you interested in how to build AI reasoning systems that give provably correct answers? Are you excited by science at the interface of classical AI reasoning and Large Language Models (LLMs)? Would you like to apply your technology to serve operations customers better?

Amazon Robotics is looking for a talented Applied Scientist. You will innovate on combining language models (LMs) with classical AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in papers at leading venues in AI. You will be part of a larger team and have the opportunity to work on problems such as: using LMs to generate plans, using AI reasoning to verify plan correctness, learning efficient reasoning strategies, self-improving models. You will work on basic science and on business problems in robotics, automation and fulfillment across our operations.

Key job responsibilities
In this role you will:

Work closely with other scientists and engineers, and be part of Amazon’s diverse global science community.
Publish your research in top-tier academic venues and hone your presentation skills.
Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise.

A day in the life
You'll meet regularly with your technical lead and your team on your ideas, get guidance and feedback, work together on architectures and algorithms, author papers, build AI systems, all with the aim of delivering results for your operations customers. You'll work closely with other scientists to review your plans and results. You'll meet with engineers to implement your ideas at scale.

About the team
The Veritas team is a science team working at the boundary between language models and classical AI reasoning. We work across on customer problems in fulfillment, automation and robotics. We focus on high quality research science informed by practical problems.

BASIC QUALIFICATIONS

Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience implementing algorithms using toolkits and self-developed code
Publication record in top tier venues in generative AI reasoning or classical planning
PhD in a relevant field (reinforcement learning, neurosymbolic AI, LLMs for formal reasoning)
Experience in reinforcement learning or neuro-symbolic AI
Practical experience with PyTorch, the HuggingFace ecosystem, SageMaker, and RL tools

PREFERRED QUALIFICATIONS

Experience using Unix/Linux
Experience in professional software development

- Experience using AWS tools and services - including AWS batch, Boto, S3, EC2 etc

Strong skills in experimental design/statistical analysis
Strong software engineering skills

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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phd engineering Jobs in berlin

Applied Scientist, Amazon Robotics

Applied Scientist, Amazon Robotics R&D

Senior Applied Scientist, Amazon Robotics

Senior Lead Data Engineer (w/m/d)

Senior Applied Scientist (all genders)

Secure Data Infrastructure for AI

Applied Scientist, Amazon Music - DISCO, Music DISCO

Sr. Applied Scientist, Amazon Robotics

Research Scientist, Thermocatalysis

Senior ML Backend Engineer

Applied Scientist II, AFT AI, Amazon AFT AI

Sr. Robotics Software Engineer, Amazon Robotics

Senior Software Engineer - QuantumBlack, AI by McKinsey

Senior Data Scientist (m/f/d)

Senior Robotics ML Engineer

Data Consultant (Manchester/Leeds)

Applied Scientist - LLM, Alexa Conversational Modelling Intelligence

Electrical Systems Engineer (f/m/d)

ML Researcher, Representation Learning

Founding Engineer

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