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As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Microsoft AI (MAI) is looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot. This role focuses on optimizing user engagement, retention, and personalization with innovative AI solutions, with a strong preference for expertise in recommendation systems and feed algorithms. However, we also welcome candidates with broader machine learning experience and a passion for solving dynamic AI challenges.
Job Responsibility:
Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds
Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking
Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms
Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics
Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers
Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings
Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership
Embody our Culture and Values
Requirements:
Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3+ years of experience building and deploying ML models in production environments
Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow)
Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS)
Experience with classification, recommendation, or personalization systems
Experience using large language models (LLMs) for machine learning and AI applications
Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Expertise in personalization strategies and user behavior modeling
Strong problem-solving skills and the ability to independently design solutions to complex challenges
Excellent communication skills, with the ability to influence technical and non-technical audiences
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines