Workday is looking to revolutionize the enterprise software market by building transformative AI agents for HR & Finance that deeply integrate within the Workday suite, accelerating intelligent decision making.
Requirements
- 15+ 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
- 5+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
- 7+ 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
- 7+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- 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
Responsibilities
- Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
- Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.
- Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
- Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
- Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
- Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.
Other
- 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
- Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
- Spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).
- Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
