Machine Learning Engineer, Workday

CA$122.4-183.6k

For CO based applicants, the salary is $147,200 - $220,800 USD

Python

Tensorflow

Spark

PyTorch

Mid and Senior level

Denver

Vancouver

More information about location

Enterprise management cloud platform

Be an early applicant

Enterprise management cloud platform

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Be an early applicant

CA$122.4-183.6k

For CO based applicants, the salary is $147,200 - $220,800 USD

Python

Tensorflow

Spark

PyTorch

Mid and Senior level

Denver

Vancouver

More information about location

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.

Job

Company

Role

Who you are

4+ yrs experience as part of a data science, machine learning software development team or relevant work in a PhD program
3+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow
2+ years experience related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc
3+ years experience in handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms
Strong knowledge of both classical machine learning and deep learning
Working knowledge of LLMs and their use in building agentic systems
Proficiency with using Spark for large-scale data processing
Excellent communication and collaboration skills, with a strong focus on team success and customer impact

What the job involves

We are looking for a Machine Learning Engineer to join the ML - Document Intelligence team to drive the design and development of our core Document Intelligence Platform as a Service
In this role, you will work on building and optimizing critical features like generic document entity extraction, entity resolution, and document classification, leveraging cutting-edge AI/ML techniques
Support the design and implementation of LLM-based technologies for document parsing, entity extraction, and classification tasks
Apply traditional ML and deep learning techniques to continuously enhance the accuracy, efficiency, and scalability of our document intelligence models
Build scalable ML pipelines and services for data preprocessing, feature engineering, training, and inference, enabling high-volume document processing workflows
Perform exploratory data analysis (EDA) on diverse document datasets to uncover valuable insights, optimize feature engineering, and inform model development
Collaborate with software engineers, Workday app developers, product managers, and other ML teams
Take ownership for finding creative solutions that move projects forward
Write clean, maintainable, and testable code following best practices in software engineering, including automation, observability, and scalability
Conduct code reviews, participate in design discussions, and engage in collaborative team activities like hackathons and knowledge-sharing sessions

Application process

End Date: May 5, 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

Top investors

16% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.1)

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 HQ

Pleasanton, CA

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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