Machine Learning Engineer

As a full-time remote Machine Learning Engineer on the AI Platform team, the successful candidate will develop tailored user experiences using advanced Agentic AI and LLMs, collaborating with engineers to deliver ML solutions across Workday's product ecosystem while managing the training, deployment, and lifecycle of various ML models. Key responsibilities: Own the exploration, design, and implementation of features for ML platforms, pipelines, and services Evaluate the scalability and observability of ML features and solutions Apply machine learning techniques to analyze large text data sets and design cloud-based ML architectures Required qualifications: Bachelor's degree in engineering, data/computer science, physics, math, or equivalent (Master's or PhD preferred) 3+ years of experience building machine learning products from the ground up at scale 3+ years of hands-on experience developing ETL pipelines and inference services using large language models 3+ years of professional experience with Python and relevant libraries in production 3+ years of experience with cloud computing platforms such as AWS or GCP