Bringing State-of-the-Art Research to Products Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments Build and harden prototypes into production-ready services using robust software engineering and MLOps practices Drive original research and though…
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering, or Master's degree and 3 or more years in applied ML or AI research and product engineering, or PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow Experience deploying Fine Tuned LLMs or multimodal models in live production environments Experience shipping and maintaining production AI systems PhD in AI/ML or related field with top-venue publications and/or patents Familiarity with responsible AI evaluation frameworks and bias mitigation methods Experience across the product lifecycle from ideation to shipping
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page