Senior​/Principal Machine Learning Engineer

Senior/Principal Machine Learning Engineer

Workday, a Fortune 500 AI platform for managing people, money, and agents, is looking for a Senior/Principal Machine Learning Engineer to join our Agent Factory team. In this role you will build the core machine learning systems that power the next generation of intelligent agents used by millions of people every day.

Agent Factory is a small, senior, cross‑functional AI team that brings together product leaders, machine learning engineers, and full‑stack builders. We own problems end‑to‑end, collaborating tightly across disciplines to deliver production‑grade solutions at global scale. Your work sits at the intersection of AI, platform architecture, and human workflows.

As a Senior/Principal Machine Learning Engineer you will design and build the core ML systems behind Workday’s next generation of AI agents. You will own the entire lifecycle—from problem framing and data strategy to deployment, monitoring, and continuous improvement. You will implement and evolve frameworks for LLM‑powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise‑ready.

This role blends ML and platform engineering: you partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack.

We’re looking for curious minds and courageous collaborators who bring optimism and drive. You will:

• Have 10+ years of experience building applied machine learning products at scale and mentoring ML engineering teams (Principal level). For Senior level, 7+ years is required.
• Be proficient in PyTorch or Tensor Flow and have 4+ (Principal) or 3+ (Senior) years of deep learning experience.
• Have 6+ years (Principal) or 4+ years (Senior) of experience building production‑scale ML model hosting services.
• Be skilled with large language models (LLMs) and RAG pipelines (at least 3+ years).
• Be comfortable with cloud platforms such as AWS or GCP (6+ years for Principal, 4+ for Senior).
• Be able to lead, mentor, and manage ML engineering teams, driving sprint planning and fostering collaboration.
• Hold a bachelor’s degree in engineering, computer science, physics, math or a related field (master’s or PhD preferred).

• Stay current with advances in AI, LLMs, RAG, autonomous agents, and orchestration frameworks.
• Deep knowledge of statistical analysis, supervised and unsupervised algorithms, and natural language processing.
• Excellent interpersonal and communication skills, able to build strong relationships across teams and stakeholders.

Salary ranges vary by location. For the primary Seattle, WA location, the base pay range is $215,000 – $322,600 USD, with additional US locations ranging from $194,600 – $345,600 USD. This role may also qualify for the Workday Bonus Plan, role‑specific commission, and annual stock grants.

We require at least 50% of your time, each quarter, in the office or in the field, with the flexibility to create a schedule that meets your needs.

Workday will consider qualified applicants with arrest and conviction records in accordance with Fair Chance law and is an equal opportunity employer for all qualified applicants, including individuals with disabilities and protected veterans.