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Are you passionate about innovating and tackling challenging research problems at the intersection of Artificial Intelligence (AI) and optimization? If so, this position is perfect for you! The Machine Learning and Optimization (MLO) group at MSR Redmond conducts research at the intersection of optimization, machine learning, and systems. Our current focus is on combining large language models with optimization to enable efficient decision making. Representative projects include training LLMs for algorithm design, such as natural language to integer programming and heuristic selection, accelerating optimization algorithms to support interactive decision dialogues, and applying LLMs to sequential and distributed decision-making settings. A key application area is improving the efficiency of cloud and AI infrastructure. More broadly, our research draws on theoretical insights to design optimization and ML based solutions that operate efficiently at scale. Joining MLO as a Senior Researcher - Deep Learning and Optimization - Microsoft Research offers a unique opportunity to work on groundbreaking projects, make a tangible impact on the computer industry, and help shape the future of technology. As a team of researchers and research engineers with diverse skill sets spanning machine learning, operations research, algorithms, and systems, we foster an inclusive and collaborative culture where all voices are heard and respected. We are deeply committed to supporting each team member’s growth and encouraging them to pursue their career aspirations.
Job Responsibility:
Design, develop and implement novel algorithmic solutions in collaboration with other researchers, engineers, and product groups
Create innovative research prototypes and publish your work in leading conferences and/or journals
Contribute to research breakthroughs in the intersection of machine learning and optimization while given an opportunity to realize your ideas in products and services used worldwide
Embody our culture and values
Requirements:
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
PhD Degree in Computer Science, or related technical discipline AND 4+ years technical experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
OR equivalent experience
Experience in machine learning and LLMs (e.g., data curation, post-training, agentic frameworks)
Experience in optimization/algorithm design
Publication records in relevant conferences
Effective analytical, problem-solving, and communication skills