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Principal Machine Learning Engineer - Evisort AI

Workday

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Location:
USA , Seattle ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

210600.00 - 316000.00 USD / Year
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Job Description:

Principal Machine Learning Engineer - Evisort AI at Workday. As a Principal Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other 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. You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers.

Job Responsibility:

  • Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
  • Collaborate with other 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
  • Develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers

Requirements:

  • 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

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

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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