Senior Machine Learning Engineer/Machine Learning Engineer, Workday
$176-264k
Salary is applicable to candidates based in Boulder, CO only and may vary by other locations
More information about location
Enterprise management cloud platform
Open for applications
Enterprise management cloud platform
1001+ employees
Open for applications
$176-264k
Salary is applicable to candidates based in Boulder, CO only and may vary by other locations
More information about location
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- Basic Qualifications- MLE:
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
- 3+ years of professional experience in building information retrieval systems and/or graph-based recommendation systems
- 3+ years of hands-on professional experience in developing text-based or graph-based machine learning models for production, including data processing, model fine-tuning, model deployment and model evaluation
- 2+ 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 in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, and Sklearn
- 2+ years of professional experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and Docker
- 2+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
- Exposure to advanced techniques such as reinforcement learning and graph neural networks
- Standout colleague, strong communication skills, with experience working across functions and teams. Ability to teach, mentor and lead through influence
- Bonus points for relevant PhD and/or machine learning related research publications
- Senior MLE:
- 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
- 5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
- 3+ years of professional experience in building services to host machine learning models in production at scale
- 3+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, and Sklearn
- 3+ years of professional experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and Docker
- 3+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
What the job involves
- We're working on making machine learning core to Workday's products by building features and capabilities that can be scaled out to hundreds of use cases within Workday
- Illuminate: The next generation of Workday AI is unlocking a whole new level of productivity and human potential by accelerating manual tasks, assisting every employee, and ultimately transforming entire business processes
- With more than 70 million users under contract generating more than 800 billion transactions a year on our platform, Illuminate leverages the world’s largest and cleanest HR and Finance dataset
- The combination of this data—with Illuminate’s ability to understand the context behind it—enables Workday to unlock value in a way no competitor can
- We are developing ML-powered Information Retrieval and Recommendation services and platforms to modernize and simplify user interactions with Workday
- 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
- Additionally, you will develop and deploy new APIs/microservices using docker/kubernetes 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
- 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
- Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users
- Lastly, a strong sense of ownership and teamwork are essential to succeed in this role
- Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, topic modeling, GNNs 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 to ML Features. Serve as a technical role model for more junior engineers
- Respond to alerts and debug production issues as part of on-call rotation
Application process
- End Date: March 17, 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.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
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 benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
- 401k plan 🇺🇸
- On-site health clinic (Pleasanton office) 🇺🇸
Company values
- Employees - Most fundamentally, people are the core of our business. Without them, we would not have a business. We hire the best and expect great accomplishments
- Customer service - Every investment and decision we make has our customers in mind, and we pull out all stops to make the satisfaction of our customers paramount
- Innovation - We aim for innovation not only in our development organization but also in the way we approach all aspects of our business
- Integrity - We say what we mean, and mean what we say. We stick to our commitments, treat everyone equitably, and communicate openly and honestly
- Fun - We also feel it’s important to have a sense of humor. We like to laugh—it makes our work that much more enjoyable. We also invest in community and company events that help our employees and their families feel a connection to Workday beyond business as usual
- Profitability - Long-term economic success is what helps us provide employees and customers with the best productivity tools, solutions, and services. While important, profitability is not why we exist. Simply put, at Workday we exist to make and provide great products and services
Company HQ
Pleasanton, CA
Articles
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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