Principal Machine Learning Engineer - Evisort AI jobs in United States
cer-icon
Apply on Employer Site
company-logo

Workday · 4 days ago

Principal Machine Learning Engineer - Evisort AI

Workday is a Fortune 500 company and a leading AI platform focused on managing people, money, and agents. As a Principal Machine Learning Engineer, you will develop tailored user experiences using advanced machine learning techniques while collaborating with engineers to deliver ML solutions across Workday’s product ecosystem.

Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareHuman ResourcesSaaSSoftware
check
Comp. & Benefits
check
H1B Sponsor Likelynote
Hiring Manager
Sam Posemsky
linkedin

Responsibilities

Help 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
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
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
Have a product approach and strong intuition around how ML can drive a better customer experience
Exhibit a strong sense of ownership and teamwork

Qualification

Machine Learning EngineeringDeep Learning FrameworksLarge Language ModelsCloud Computing PlatformsStatistical AnalysisNatural Language ProcessingContinuous ImprovementTeam LeadershipInterpersonal SkillsCommunication Skills

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
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

Preferred

Master's or PhD degree in engineering, computer science, physics, math or equivalent

Benefits

Workday Bonus Plan
Annual refresh stock grants

Company

Workday provides SaaS-based enterprise solutions for a company's human resources and financial management activities.

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 Company
Total Funding
$2.23B
Key Investors
Elliott Management Corp.New Enterprise AssociatesGreylock
2025-09-16Post Ipo Equity· $2B
2012-10-12IPO
2011-10-24Series F· $85M

Leadership Team

leader-logo
Aneel Bhusri
CEO and Co-Founder
linkedin
leader-logo
Peter Bailis
Chief Technology Officer
linkedin
Company data provided by crunchbase