Principal Machine Learning (ML) Engineering Manager

2 Weeks ago • 8-12 Years • Full Stack Development • $161,600 PA - $314,400 PA

Job Summary

Job Description

The Principal Machine Learning (ML) Engineering Manager at Microsoft's Industry Solutions Engineering (ISE) team will lead cross-functional teams in building innovative cloud-based solutions for high-impact customers. This role requires deep expertise in designing and delivering ML solutions using modern software engineering practices and cloud technologies (Azure, GCP, AWS). Responsibilities include overseeing project plans, technical leadership, code optimization, incident resolution, and collaborating with stakeholders across teams and product lines. The ideal candidate will have extensive experience in AI deployments, managing geographically dispersed teams, and working directly with customers. The position requires strong communication and collaboration skills, and a passion for solving complex business problems through technology. The role involves collaboration with product teams, partners, and open-source communities.
Must have:
  • 8+ years technical engineering experience
  • 8+ years people management experience
  • 5+ years experience with Azure, GCP, or AWS
  • 3+ years experience with AI deployment issues
  • 3+ years experience working with customers
Good to have:
  • Experience with modern AI technologies (deep learning, reinforcement learning)
  • Experience releasing open source software
  • Up to 25% travel
Perks:
  • Competitive compensation and benefits package

Job Details

Overview

Do you enjoy solving problems, writing software, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us!
 
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

 

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

 

We are hiring a Principal Machine Learning (ML) Engineering Manager with deep experience and expertise in designing and delivering solutions using modern software engineering practices and cloud technologies. You will work closely with a technical program manager and data scientist to co-lead a cross-functional team to work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. 

 

As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology.  You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. You will enable the engineers on your team to apply their skills, creativity, and aspirations to benefit our customers and advance their careers.

 

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

 

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done. 

 

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.  

Qualifications

Required/Minimum Qualifications 

  • Bachelor's Degree in Computer Science, or related technical discipline 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.
  • 8+ years people management experience.
  • 5+ years practical experience with Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Service (AWS).
  • 5+ years experience leading geographically dispersed, diverse, and virtual teams.
  • 3+ years experience with practical issues around AI deployments, including hardware (client and server), software (AI frameworks, MLOps and GenAIOps), data (data protection, privacy, sovereignty); and legal/regulatory (IP, explainability, bias, and safety).
  • 3+ years demonstrated ability to work with customers and collaborate across company boundaries.

Other Requirements

  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.

Additional or Preferred Qualifications 

  • Bachelor's Degree in Computer Science
    • OR related technical field AND 12+ 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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience in modern AI technologies and trends, including deep learning, reinforcement learning, foundation models for vision, audio, and language, GPT architectures, autonomous systems.
  • Experience with releasing open source software and building machine learning-powered features.
  • Enjoy travel and are comfortable with travel up to 25%.

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 per year.

 

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

 

Microsoft will accept applications for the role until May 12, 2025.

 

 

 

#ISEngineering

#IPS

Responsibilities

  • Oversees partnership with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements within and across teams for multiple solutions or product lines.
  • Oversees teams and provides technical leadership for identification of dependencies and the development of design documents for a product, application, service, or platform.
  • Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).
  • Oversees teams to drive multiple group's project plans, release plans, and work items in coordination with appropriate stakeholders (e.g., project managers) across products.
  • Leads the resolution of complex site incidents and oversees for Designated Responsible Individuals (DRI) and directs the work of other engineers across product lines.
  • Keeps informed of and communicates new standards to ensure that the product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and holds accountability for products that do not meet expectations.
  • Embodies our and .

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