4+ years pytorch or tensorflow framework experience
6+ years hosting ml models in production at scale
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod
Job Summary
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Candidates must have a proven track record of leading, mentoring, and managing ML Engineering teams while fostering a culture of collaboration and innovation.
The position offers a competitive annualized base salary ranging from $228,000 to $342,000 USD depending on location, along with bonus plans and stock grants.
Matching Summary
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Salary
Base: $228,000 - $342,000 USD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package described as available
Skills & Requirements
Must-have
10+ years applied machine learning experience
4+ years PyTorch or TensorFlow framework experience
6+ years hosting ML models in production at scale
3+ years Large Language Models (LLMs) experience
6+ years cloud computing platforms AWS or GCP
Bachelor's degree in engineering or computer science
Nice-to-have
Master's or PhD in relevant field preferred
Experience with graph neural network models
Deep understanding of statistical analysis
Proven track record of mentoring teams
Ability to solve ambiguous open-ended problems
Key Requirements
10+ years experience building applied ML products at scale
4+ years professional experience in ML deep learning frameworks
6+ years experience building services to host ML models
3+ years demonstrated experience with LLMs and text generation
6+ years proven experience with cloud computing platforms
Bachelor's degree required; Master's or PhD preferred