About the role
Responsibilities
- Support the development of frameworks that enable coordination and communication across multiple AI components, helping to facilitate task delegation, orchestration, and result validation scenarios.
- Apply and improve techniques for efficient code generation and transformation in low-resource environments, including adapting models to domain-specific languages, formulas, and structured or semi-structured data formats.
- Implement and iterate on fine-tuning and post-training approaches for large-scale machine learning models to enhance reliability, controllability, and readiness for production use.
- Contribute to the design and execution of evaluation strategies and benchmarks that reflect real-world Microsoft 365 user workflows, including participation in system-level and human-in-the-loop assessments.
- Collaborate with engineering and product management partners to help translate research ideas into scalable, production-ready features, with attention to user experience, performance, and responsible AI practices.
Qualifications
Required Qualifications:
- Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience
- OR Bachelor's Degree in relevant field AND 4+ years related research experience
- OR equivalent experience.
Preferred Qualifications:
- Doctorate in relevant field AND 3+ years related research experience
- OR Master's Degree in relevant field AND 6+ years related research experience
- OR Bachelor's Degree in relevant field AND 8+ years related research experience
- OR equivalent experience.
- Experience contributing to research initiatives, including authorship or meaningful contributions to academic publications.
- Experience engaging with the research community through participation in conferences, workshops, or similar forums within a relevant domain.
- Familiarity with evaluation methods for generative and agent-based systems, including offline benchmarking and online experimentation approaches.
- Experience working with large language models and agent-based systems, including prompt design, tool integration, contextual memory, and system orchestration.
- Experience applying fine-tuning and post-training techniques to large-scale models, including supervised fine-tuning, preference-based methods, reward modeling, or reinforcement learning approaches.
- Experience collaborating across research and engineering teams to support the transition of solutions from prototype to production scenarios.
- Communication and collaboration skills with experience contributing to cross-functional work, navigating ambiguity, and supporting end-to-end problem solving.
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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 & Tags
Aplyr's read
Microsoft is a technology giant shaping global computing, attracting talent interested in innovation and impact across software, cloud, and AI sectors.
What's promising
- •Strong commitment to innovation in AI and cloud computing.
- •Diverse range of roles from technical to managerial, offering career growth.
- •Financially stable with a robust global presence and market influence.
What to watch
- •Complex organizational structure can slow decision-making processes.
- •High competition for roles may limit entry-level opportunities.
- •Potential for work-life balance challenges in high-demand positions.
Why Microsoft
- •Pioneer in personal and business computing with a legacy of innovation.
- •Extensive global reach with a diverse workforce and inclusive culture.
- •Leader in integrating AI into mainstream software and cloud services.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Microsoft
Microsoft is a global technology company that develops, licenses, and supports a wide range of software products, services, and devices. Known for its Windows operating system and Office productivity suite, Microsoft has a significant impact on personal and business computing worldwide.
- Founded
- 1975
