Senior Machine Learning Engineer

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! Our group, Machine Learning and Optimization (MLO) at Microsoft Research Redmond, works on fundamental and practical aspects of data-driven optimization. Examples include scaling huge optimization problems via ML, leveraging ML predictions for real-time control and using Large Language Models (LLMs) for algorithm design and interactive decision-making (e.g., for supply chain management and cloud resource allocation). Joining MLO as a Senior Machine Learning Engineer provides a unique opportunity to work on groundbreaking projects, have real impact on the computer industry and shape the future of technology. As a group of researchers and research engineers with diverse skillsets, spanning machine learning, operations research, algorithms and systems, we pride ourselves on fostering an inclusive culture where all voices are heard and respected. We are committed to supporting and encouraging every team member in their career aspirations. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities You will design, develop and implement novel algorithmic solutions in collaboration with other researchers, engineers, and product groups. You will be expected to create innovative research prototypes and help build production systems and services. You will be a part of research breakthroughs in the intersection of machine learning and optimization and will be given an opportunity to realize your ideas in products and services used worldwide. Embody our culture ( and values ( . Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience (including any graduate student experience) with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience. Preferred Qualifications: PhD in Computer Science or related discipline. Experience in training language models (preferably in PyTorch). Proficiency in machine learning, deep learning, AI, and data science. Experience in optimization/algorithm design. Good publication record in ML conferences. Effective analytical, problem-solving, and communication skills. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 October 31, 2024. #Research #MSRR Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Created: 2024-11-05