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Member of Technical Staff, AI - Reinforcement Learning (RL) Platform

Washington, United States (Hybrid)

Member of Technical Staff, AI - Reinforcement Learning (RL) Platform

29 Minutes ago • 4-10 Years • Research & Development • $117,200 PA - $294,000 PA

About the job

9 skills required for this role

Add these skills to join the top 1% applicants for this job

java

javascript

algorithms

reinforcement-learning

python

excel

innovation

cross-functional

Job Description

Help build the world's most advanced reinforcement learning platform at Microsoft AI. This role involves designing and developing core infrastructure, focusing on systematizing and extending RL algorithms for LLMs across various environments. Responsibilities include assisting in algorithm development, onboarding team members to advanced techniques, and collaborating with cross-functional teams to deliver new agentic AI product capabilities. The ideal candidate excels in coding, software engineering, API design, machine learning, and thrives in a collaborative environment. They will build robust systems to solve next-generation AI problems and manage multiple responsibilities with shifting priorities. The position requires strong software engineering skills and a demonstrated interest in reinforcement learning and related fields.

Must have:

Experience in coding (C, C++, C#, Java, JavaScript, Python)
Large-scale software systems and infrastructure experience
Reinforcement learning & language modelling knowledge
Strong software engineering skills
Collaborative and adaptable

Good to have:

Background in scientific computing or machine learning
Experience with large-scale distributed RL or post-training systems
Experience developing software platforms

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Overview

Help build the world�s most advanced reinforcement learning platform 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 algorithms for model alignment and develop tools to extend model capabilities to numerous product domains within Microsoft.

We are looking for candidates who are both scientists and software engineers. The ideal candidate will be able to build robust systems that help our team solve the next generation of AI problems. They would:

Excel in coding, software engineering, and API design
Have a background in machine learning and scientific computing
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

By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.

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

Design and develop the core infrastructure of the RL Platform, focusing on systematizing and extending RL algorithms for LLMs to a variety of present and future environments.
Assist in development of new algorithms and help onboard other team members to state-of-the-art techniques.
Collaborate with cross-functional teams to ship new agentic AI product capabilities.
Embody our 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 4 years of experience in coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python

OR equivalent experience.

Experience with large-scale software systems and infrastructure.
Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.

Preferred Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 10 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python

OR Master's Degree in Computer Science or related technical field AND 8 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python
OR equivalent experience.

Background in scientific computing or machine learning.
Experience with large scale distributed RL or post-training systems
Experience with developing software platforms
Ability to work collaboratively in a fast-paced, innovative environment.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#copilot

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View Full Job Description

$117.2K - $294.0K/yr (Outscal est.)

$205.6K/yr avg.

Redmond, Washington, United States

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