Multimodal Inference

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Hiring Remotely in United States
Remote
143K-331K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Build and maintain large-scale multimodal inference engines and deployment pipelines for generative models. Benchmark, profile, and optimize inference performance across hardware and models. Collaborate with research and product teams, inform architecture and roadmap, and drive rapid, iterative delivery of multimodal AI features.
Summary Generated by Built In
Overview

Microsoft AI is seeking a Member of Technical Staff, Multimodal Inference, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We are looking for someone who brings positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys creating world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment, and reinforcement learning from human feedback (RLHF), along with other cutting-edge topics in AI. 

Microsoft AI is building foundational models to enable responsible and efficient artificial general intelligence. These models require large compute capacity, and as a Member of Technical Staff, Multimodal Inference, you will be responsible for building large-scale inference infrastructure and supporting the efficient serving of multimodal generative models in our products. You will work closely with research scientists and product engineers to achieve optimal serving latency and throughput using novel research and engineering techniques. As a core member of the engineering team, you will also drive best practices, influence architectural decisions, and shape the roadmap for relevant software and hardware components. Your work will directly impact business goals and enable the next wave of growth and innovation in AI. 

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond. 

 

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Develop and maintain the inference engine for multimodal generative models. 

  • Develop and maintain the model deployment pipeline for various product lines. 

  • Benchmark, profile and tune the model inference performance with model and hardware specific techniques. 

  • Gather data and insights to develop the multimodal inference roadmap.  

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

  • Enjoy working in a fast-paced, design-driven, product development cycle.  

  • Embody our Culture and Values.  


Qualifications

Required 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#, Java, JavaScript, or Python
    • OR equivalent experience. 

Preferred Qualifications:  

  • 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 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 equivalent experience. 
  • Experience in leading technical projects and supporting architectural decisions.
  • Experience with generative AI.  
  • Experience with distributed computing.   

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience
  • Master's Degree in Computer Science or related technical field AND 8+ years engineering experience OR Bachelor's Degree AND 12+ years engineering experience, or equivalent experience
  • Experience leading technical projects and supporting architectural decisions
  • Experience with generative AI
  • Experience with distributed computing

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

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