Senior UX Data Engineer

Microsoft is a leading technology company seeking a Senior UX Data Engineer to join their innovative team. This role involves designing and running machine learning experiments, translating concepts into prototypes, and collaborating with cross-functional partners to enhance user experiences in Microsoft products.

Responsibilities:

• Design and run applied science and/or machine learning experiments to explore new ideas and validate hypotheses
• Conduct research on state-of-the-art technologies, methodologies, and emerging trends
• Translate concepts into working prototypes through code
• Provide thoughtful, constructive feedback and propose creative, practical solutions
• Communicate insights, decisions, and results clearly and concisely to cross-functional partners
• Contribute to publications, technical reports, and knowledge-sharing initiatives

Requirements:

• Master's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 3+ years experience working in product or service design and/or shipping production code
• OR Bachelor's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 4+ years experience working in product or service design and/or shipping production code
• OR equivalent experience
• GitHub, CodePen, or other links showcasing coding skills OR portfolio is required with application submission
• Python coding skills and experience with ML frameworks such as PyTorch or TensorFlow
• Experience working with LLMs, including prompt design, tool and function calling, retrieval strategies (RAG), and multi-step agent orchestration
• Experience building machine learning pipelines for model quality, optimizations, evaluations, integrations, or UX outcomes (e.g., rubric-based human evals, offline test sets, experiment design, and/or A/B testing), and using results to iterate on both UX and implementation
• Ability to build and iterate on ML pipelines, integrating insights back into product and experience design
• Proficiency in data analysis and experimentation to inform product decisions
• Foundations in linear algebra, calculus, and probability and statistics
• Familiarity with MLOps and experiment tracking tools like MLflow, Kubeflow, Weights and Biases or equivalent
• Understanding of production ML requirements, with a track record of mitigating risk and downstream impact
• Experience with cloud AI and ML services
• Interest in human-computer interaction, behavioral psychology, and trust in intelligent systems
• Mastery of at least one back-end coding language
• Experience building ML-powered product experiences