Member of Technical Staff, AI - Reinforcement Systems

Microsoft Innovation Center; London; On-site; USD 99,000 - 200,000; Full time

Job summary

An innovative firm is seeking a Member of Technical Staff to help build advanced reinforcement learning systems. This role involves collaborating with research teams to develop algorithms, contributing to core systems, and solving scientific challenges. Ideal candidates will excel in programming, enjoy working in a fast-paced environment, and have a strong background in software engineering. Join a mission-driven team dedicated to creating trustworthy AI agents that empower users worldwide. This is a unique opportunity to make a significant impact in the field of AI and machine learning.

Qualifications

• Experience in coding in languages like C, C++, C#, Rust, Java, or Python.
• Ability to build complex systems and solve scientific challenges.

Responsibilities

• Collaborate with research teams on algorithms for reinforcement learning.
• Develop core systems for adapting reinforcement learning.

Skills

Programming (C, C++, C#, Rust, Java, Python)

Software Engineering

API Design

Distributed Systems

Collaboration

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Software Engineering

Bachelor's Degree in Mathematics

Tools

Reinforcement Learning Systems

Large-scale Software Systems

Job description

Member of Technical Staff, AI - Reinforcement Systems

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Member of Technical Staff, AI - Reinforcement Systems

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Join to apply for the Member of Technical Staff, AI - Reinforcement Systems role at Microsoft Innovation Center

Job Description

Help build the world’s most advanced reinforcement learning systems at Microsoft AI.

We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you’ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.

Overview

CLICK HERE TO APPLY

Job Description

Help build the world’s most advanced reinforcement learning systems at Microsoft AI.

We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you’ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.

We Are Looking For Distributed Systems Experts With a Scientific Mindset. The Ideal Candidate Will Be Able To Build Complex Systems From The Ground Up, Discover And Diagnose Causes Of Suboptimal Performance, And Contribute To Solving Scientific And Research Challenges. Specifically, They Should

• Excel in programming (especially parallel/concurrent), software engineering, and API design
• Have experience in large-scale systems, preferably having built some components from scratch.
• Thrive in a highly collaborative, fast-paced environment
• Have a high degree of craftsmanship and pay close attention to details
• Effectively manage multiple responsibilities and can adjust to shifting priorities
• Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users
  
  

A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs
• Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.
• Embody our culture of collaboration, innovation, and excellence.
  
  

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and experience in coding in languages including, but not limited to, C, C , C#, Rust, Java, or Python
• Experience with large-scale software systems and infrastructure.
• Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.
• Ability to work collaboratively in a fast-paced, innovative environment.
  
  

Preferred Qualifications

• Background in machine learning research.
• Experience with large scale distributed AI systems.
  
  

CLICK HERE TO APPLY

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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