Workday · 2 weeks ago
Senior/Principal Machine Learning Engineer
Seattle, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$215K/yr - $323K/yr
7+ years expWorkday is a Fortune 500 company and a leading AI platform for managing people, money, and agents. As a Senior/Principal Machine Learning Engineer, you will design and build core ML systems for AI agents, working with a cross-functional team to ensure scalable and effective solutions.
Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareHuman ResourcesSaaSSoftware
Responsibilities
Design and build the core ML systems behind Workday’s next generation of AI agents
Own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement
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
Partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack
Stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale
Qualification
Required
10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent
7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
4+ years of professional experience in building services to host machine learning models in production at scale
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
4+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Preferred
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
Benefits
Workday Bonus Plan
Annual refresh stock grants
Company
Workday
Workday provides SaaS-based enterprise solutions for a company's human resources and financial management activities.
10001+ employees
H1B Sponsorship
Workday has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (331)
2024 (388)
2023 (262)
2022 (503)
2021 (290)
2020 (229)
Funding
Current Stage
Public CompanyTotal Funding
$2.23BKey Investors
Elliott Management Corp.New Enterprise AssociatesGreylock
2025-09-16Post Ipo Equity· $2B
2012-10-12IPO
2011-10-24Series F· $85M
Leadership Team
Aneel Bhusri
CEO and Co-Founder
Peter Bailis
Chief Technology Officer
Recent News
EIN Presswire
2026-01-07
Company data provided by crunchbase