Member of Technical Staff, AI - Reinforcement Learning Systems

1 Month ago • 4-6 Years • Artificial Intelligence • $117,200 PA - $294,000 PA

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

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.

#MicrosoftAI #Copilot


Similar Jobs

smartbear - Senior Software Engineer

smartbear

Bengaluru, Karnataka, India (On-Site)
3 Days ago
Meta - Production Engineering

Meta

Seattle, Washington, United States (Hybrid)
6 Months ago
Glean - Cloud Infrastructure Engineer

Glean

Bengaluru, Karnataka, India (On-Site)
3 Weeks ago
Capgemini - Selenium Java + Azure DevOps

Capgemini

Mumbai, Maharashtra, India (On-Site)
1 Month ago
eBay - Software Engineer, Search Ranking

eBay

San Jose, California, United States (Hybrid)
5 Days ago
Meta - AI Research Scientist, Language - Generative AI

Meta

Menlo Park, California, United States (On-Site)
7 Months ago
Meta - AI Research Scientist, Language - Generative AI

Meta

Seattle, Washington, United States (On-Site)
7 Months ago
Pika - Research Engineer (Applied Research) New Grad

Pika

Palo Alto, California, United States (On-Site)
6 Months ago
bytedance - Software Development Engineer - Large Language Models, AML

bytedance

San Jose, California, United States (On-Site)
4 Months ago
Meta - AI Research Scientist, Language - Generative AI

Meta

Burlingame, California, United States (On-Site)
7 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Philips - Senior Software Developer

Philips

Eindhoven, North Brabant, Netherlands (On-Site)
7 Hours ago
The Walt Disney Company - Lead Software Engineer in Test - iOS/Android

The Walt Disney Company

San Francisco, California, United States (On-Site)
1 Month ago
Netradyne - Site Reliability Engineer (SRE)

Netradyne

Bengaluru, Karnataka, India (On-Site)
7 Months ago
Zazz - Machine Learning Engineer

Zazz

(Remote)
3 Months ago
Postman - Engineering Manager, Workspaces

Postman

Bengaluru, Karnataka, India (Hybrid)
8 Months ago
Sprinkler - NOC Manager

Sprinkler

Bengaluru, Karnataka, India (On-Site)
2 Weeks ago
Aryaka - UI_UX Engineer

Aryaka

Bengaluru, Karnataka, India (On-Site)
1 Year ago
attentive - Staff Software Engineer, Personalization Engine

attentive

United States (Remote)
2 Weeks ago
Cognite - Senior Full-stack Developer (Frontend Focus)

Cognite

Bengaluru, Karnataka, India (Hybrid)
2 Months ago
Knuddels - Java Backend Developer

Knuddels

Baden-Württemberg, Germany (Hybrid)
2 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Mountain View, California, United States

That's No Moon - Senior Game Producer, Design

That's No Moon

Los Angeles, California, United States (Remote)
1 Month ago
Life church - Life.Church Campus Internship

Life church

United States (On-Site)
8 Months ago
Zenoti - Project Manager, Customer Onboarding (SaaS)

Zenoti

Seattle, Washington, United States (On-Site)
3 Weeks ago
Sail Point - Advisory Solutions Consultant

Sail Point

California, United States (Remote)
3 Weeks ago
broadcom - Manufacturing Operator 1

broadcom

Fort Collins, Colorado, United States (On-Site)
6 Days ago
Trackman - Trackman Range Customer Success Manager

Trackman

Arizona, United States (Remote)
3 Weeks ago
Google - Software Engineer III, AI/ML, Core

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
Penumbrainc - Regulatory Affairs Specialist II

Penumbrainc

Alameda, California, United States (Hybrid)
4 Months ago
Tencent - Workday Business Analyst - HCM

Tencent

California, United States (On-Site)
3 Months ago
Epic Games - Senior Character Artist

Epic Games

Cary, North Carolina, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

bytedance - Machine Learning Engineer - Pico Perception

bytedance

San Jose, California, United States (On-Site)
1 Month ago
Hedra - Machine Learning Engineer (CUDA)

Hedra

San Francisco, California, United States (On-Site)
2 Months ago
DNEG - Head of Machine Learning

DNEG

London, England, United Kingdom (Remote)
3 Months ago
Hedra - Research Scientist

Hedra

San Francisco, California, United States (On-Site)
2 Months ago
Lionbridge Games - Games Language AI Specialist (Linguist)

Lionbridge Games

Masovian Voivodeship, Poland (On-Site)
1 Month ago
NVIDIA - Solution Architect - Auto

NVIDIA

Shanghai, Shanghai, China (On-Site)
3 Months ago
PlayStation Global - Sr. ML Software Engineer

PlayStation Global

United States (Remote)
2 Months ago
Rackspace Technology - Principal MLOps Engineer

Rackspace Technology

Toronto, Ontario, Canada (Remote)
2 Months ago
Spell Brush - AI Anime Researcher

Spell Brush

Tokyo, Japan (On-Site)
2 Months ago
Spellbrush - AI Anime Researcher

Spellbrush

Tokyo, Japan (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Vancouver, British Columbia, Canada (On-Site)

Mountain View, California, United States (Hybrid)

Shenzhen, Guangdong Province, China (On-Site)

Noida, Uttar Pradesh, India (On-Site)

Redmond, Washington, United States (On-Site)

Paris, Île-de-France, France (On-Site)

View All Jobs

Get notified when new jobs are added by Microsoft

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug