Member of Technical Staff, AI - Reinforcement Learning Systems
Job Summary
Job Description
Help build cutting-edge reinforcement learning systems at Microsoft AI, creating trustworthy agents for autonomous action and decision-making. Contribute to core systems, infrastructure, and research, advancing state-of-the-art model capabilities. Collaborate with research teams on reinforcement learning algorithms for LLMs and develop core systems for adapting reinforcement learning to large scales and diverse environments. This role requires expertise in parallel/concurrent programming, software engineering, API design, and large-scale systems. A background in machine learning is preferred but not mandatory; strong mathematical or competitive programming skills are valuable alternatives. The position is based in Mountain View, CA or Redmond, WA, requiring in-office presence 3 days a week.
Must have:
- Parallel/concurrent programming expertise
- Large-scale system experience
- Software engineering & API design skills
- Reinforcement learning knowledge (preferred)
- Strong coding skills (C++, C#, Java, Python etc.)
Good to have:
- Machine learning research background
- Large-scale distributed AI systems experience
- Experience with LLMs and generative modeling
9 skills required
Job Details
Job Description
Overview
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.
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
- 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 4 years of experience in coding in languages including, but not limited to, C, C , C#, Rust, Java, 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 6 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Rust, Java, or Python
OR equivalent experience.
- Background in machine learning research.
- Experience with large scale distributed AI systems.
- 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.
Similar Jobs
Riot Games
Los Angeles, California, United States (On-Site)
• 3 Months ago
Ubisoft
Bordeaux, Nouvelle-Aquitaine, France (Hybrid)
• 4 Months ago
Get notifed when new similar jobs are uploaded
Similar Skill Jobs
Whatnot
San Francisco, California, United States (On-Site)
• 3 Months ago
Get notifed when new similar jobs are uploaded
Jobs in Mountain View, California, United States
bytedance
San Jose, California, United States (On-Site)
• 9 Months ago
Get notifed when new similar jobs are uploaded
Research Development Jobs
Roblox
San Mateo, California, United States (On-Site)
• 1 Month ago
rosebud AI
San Francisco, California, United States (Remote)
• 3 Months ago
bytedance
Seattle, Washington, United States (On-Site)
• 4 Months ago
Get notifed when new similar jobs are uploaded
