Senior Machine Learning Engineer, Workday
$167.2-297.6k
Salary dependent on location
More information about location
Enterprise AI platform for managing HR, finance & IT
Job no longer available
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Job no longer available
$167.2-297.6k
Salary dependent on location
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved
- You also should have a product approach and strong intuition around how ML can drive a better customer experience
- Lastly, a strong sense of ownership and teamwork are essential to succeed in this role
- 5+ yrs 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
- 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
- 3+ years of professional experience in building services to host machine learning models in production at scale
- 2+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- 2+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
- 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
- Exposure to advanced techniques such as reinforcement learning and graph neural networks
- Strong communication skills, with experience working across functions and teams. Ability to teach, mentor and lead through influence
- Relevant PhD and/or machine learning related research publications will be a plus
What the job involves
- As a 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
- In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security
- Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users
- Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, and named entity recognition to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud based machine learning architectures
- Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products
- Keep abreast of the latest advancements in NLP research, techniques, and tools and apply this knowledge onto ML Features
Application process
- End Date: June 20, 2025
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 94 more jobs at Workday