Machine Learning Engineer at Workday

Ideal for a Machine Learning Engineer with at least 3 years of experience developing and deploying deep learning, NLP, and generative AI systems into production. A Master's or Ph.D. in a related quantitative field is preferred. **What makes it worth a look...** This full-time, hybrid role at Workday offers a CAD base pay range of $128,000 - $192,000. You'll work on the AI Platform team, developing next-generation collaborative products and influencing enterprise software development. **You might be a good fit if you...** * Have experience building and evaluating AI agents, including familiarity with RAG architectures and frameworks like DeepEval or RAGAS. * Are proficient in modern ML frameworks (PyTorch, TensorFlow, Huggingface) and agentic frameworks (LangChain/LangGraph/LangSmith). * Possess expert-level Python skills and solid experience with MLOps, containers (Docker), Kubernetes, and cloud services (AWS, GCP, Azure). * Understand agent-in-the-loop systems and have experience with Kubeflow for large-scale ML systems.