Member of Technical Staff, AI - Reinforcement Systems

Microsoft; London; On-site; GBP 100,000 - 125,000; Full time

Job summary

An innovative firm is seeking distributed systems experts to help build advanced reinforcement learning systems. In this role, you will contribute to the development of trustworthy AI agents capable of autonomous action. You will work collaboratively to advance state-of-the-art algorithms and develop core systems for adapting reinforcement learning to unprecedented scales. This position offers an exciting opportunity to engage with cutting-edge technology and make a significant impact on the future of AI. If you thrive in a fast-paced environment and are motivated by the challenge of building complex systems, this role is perfect for you.

Qualifications

• Bachelor's degree in a STEM field and experience coding in multiple languages.
• Experience with large-scale software systems and infrastructure.

Responsibilities

• Collaborate with research teams to advance algorithms for reinforcement learning.
• Develop core systems for adapting reinforcement learning to large scales.

Skills

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

Software Engineering

API Design

Distributed Systems

Collaboration

Attention to Detail

Problem Solving

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Software Engineering

Bachelor's Degree in Machine Learning

Bachelor's Degree in Mathematics

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:

1. Excel in programming (especially parallel/concurrent), software engineering, and API design
2. Have experience in large-scale systems, preferably having built some components from scratch.
3. Thrive in a highly collaborative, fast-paced environment
4. Have a high degree of craftsmanship and pay close attention to details
5. Effectively manage multiple responsibilities and can adjust to shifting priorities
6. 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.

Responsibilities

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

Qualifications

Required Qualifications:

1. 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
2. Experience with large-scale software systems and infrastructure.
3. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.
4. Ability to work collaboratively in a fast-paced, innovative environment.

Preferred Qualifications:

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