LVT, functioning as the Evisort AI team within Workday, is hiring a Principal Machine Learning Engineer to develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with engineers to deliver ML solutions across Workday's product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models.
What You'll Do
- Develop and deploy new products at scale leveraging Workday's vast computing resources on rich datasets.
- Contribute to feature and service development with an approach of continuous improvement, passion for quality, scale, and security.
- Question or challenge choices and practices where they don't make sense or could be improved.
- Apply a product approach and strong intuition around how ML can drive a better customer experience.
What We're Looking For
- 10+ years experience 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.
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent.
Nice to Have
- 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.
Technical Stack
- Pytorch
- TensorFlow
- AWS
- GCP
- LLMs
- Knowledge Graphs
Team & Environment
You will be part of the Evisort AI team at Workday, which functions as a startup within Workday.
Benefits & Compensation
- Primary Location Base Pay Range: $215,000 USD - $322,600 USD
- Additional US Location(s) Base Pay Range: $194,600 USD - $345,600 USD
Work Mode
This is a hybrid role based in Seattle, WA, USA.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
