Member of Technical Staff, MLE

Microsoft • Mountain View, CA

96d • $119,800 - $234,700

About The Position

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. 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. 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.

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.

Nice To Haves

• Advanced degree (PhD/MS) in Computer Science, Machine Learning, AI, or a related field; or equivalent experience.
• Proven expertise in building and deploying recommendation systems and personalized feed algorithms at scale.
• 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.

Responsibilities

• Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds.
• Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
• Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
• Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.
• Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.
• Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.
• Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.
• Embody our Culture and Values.

Benefits

• Typical base pay range for Software Engineering IC4 across the U.S. is USD $119,800 - $234,700 per year.
• Typical base pay range for Software Engineering IC5 across the U.S. is USD $139,900 - $274,800 per year.
• Different pay ranges applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees