Role at a glance
- Salary
- $142.8K – $274.8K/yr
- Location
- Multiple Locations, United States United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years technical engineering experience
- Education
- Bachelor's Degree in Computer Science or related technical field
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Role Summary
The Member of Technical Staff, Multimodal Inference, will build large-scale inference infrastructure and support efficient serving of multimodal generative models for Copilot and other consumer AI products. The role works across engineering and research to improve serving performance, shape software and hardware architecture, and advance the multimodal inference roadmap.
What You'll Do
- 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 model inference performance using model- and hardware-specific techniques.
- Gather data and insights to develop the multimodal inference roadmap.
- Work across engineering, research, and product teams to support efficient model serving.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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.
Required
- Bachelor's Degree in Computer Science or related technical field
- 6+ years technical engineering experience
- Coding in C, C++, C#, Java, JavaScript, or Python
- Equivalent experience
Preferred
- Master's Degree in Computer Science or related technical field
- 8+ years technical engineering experience
- Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience
- Experience in leading technical projects and supporting architectural decisions
- Experience with generative AI
- Experience with distributed computing
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.