Applied Scientist, Amazon Robotics

Amazon Science; Berlin; Hybrid; EUR 90.000 - 150.000; Vollzeit

Zusammenfassung

Amazon Robotics in Berlin seeks an Applied Scientist to advance AI reasoning systems that produce provably correct results. You will combine language models with classical AI reasoning and publish your findings with a team of scientists and engineers.

You will tackle problems spanning planning with LMs, verifying plan correctness, and learning efficient reasoning strategies, deploying AI systems at scale for operations in fulfillment and automation.

Qualifikationen

• PhD or MSc in CS/ML or equivalent research.
• Publications in top AI/ML venues are highly valued.
• Experience programming in Java/C++ and Python.
• Strong background in algorithms, data structures, and ML.
• Experience with PyTorch and ecosystem tools (HuggingFace, SageMaker).

Aufgaben

• Collaborate with scientists and engineers to advance AI reasoning.
• Publish results in top-tier venues and present at conferences.
• Develop techniques combining LMs with classical AI reasoning.
• Build scalable AI systems for robotics and automation problems.

Kenntnisse

AI reasoning

Python

Java/C++

PyTorch

Neuro-symbolic AI

HuggingFace

Ausbildung

PhD or MSc in CS/ML

Tools

SageMaker

PyTorch

HuggingFace

AWS CLI

Jobbeschreibung

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?

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
• PhD or equivalent research experience, or a Master's degree and experience in CS, CE, ML or related field research
• Publication record in top tier venues in generative AI reasoning or classical planning
• 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 demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience in software development and experience that includes strong analytical skills, attention to detail, and effective communication abilities
• Experience using AWS tools and services - including AWS batch, Boto, S3, EC2 etc
• Strong skills in experimental design/statistical analysis

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m/w/d

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