Senior Director / Director of Machine Learning Engineering, Workday

Agent Factory

$259.2-460.8k

Salary applicable for US candidates, dependent on location, may vary in other locations

AWS

GCP

Python

Tensorflow

Hadoop

Azure

Spark

PyTorch

Senior and Expert level

Denver

San Francisco Bay Area

Toronto

Vancouver

More information about location

Enterprise management cloud platform

Job no longer available

Enterprise management cloud platform

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Job no longer available

$259.2-460.8k

Salary applicable for US candidates, dependent on location, may vary in other locations

AWS

GCP

Python

Tensorflow

Hadoop

Azure

Spark

PyTorch

Senior and Expert level

Denver

San Francisco Bay Area

Toronto

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

A master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field
A strong academic background with research experience in machine learning is highly desirable
Minimum of 8-10 years of industry experience in machine learning, with at least 3-5 years in a leadership or managerial role
Proficiency in programming languages such as Python and experience with complex data pipelines and ML libraries
Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Hadoop)
Expertise in generative AI, ML algorithms, and frameworks such as Hugging Face, Tensorflow, PyTorch, etc
Up to date knowledge in state of the art LLMs, RAG, and Agentic frameworks
Strong understanding of deep learning architectures, natural language processing, computer vision, and other relevant areas of machine learning
Proven track record of successfully leading and delivering complex machine learning projects at scale
Excellent communication and facilitation skills
Consistent track of leading a multi-functional team
Experience presenting effectively to both technical and non-technical audiences
Background in a fast-paced and complex environment
Experience with cloud technologies and modern cloud-native architectures

What the job involves

The Machine Learning team is seeking a strategic and technical Director of Machine Learning to join the Agent Factory org and directly participate in crafting, implementing, and delivering highly scalable Machine Learning products and AI agents for Workday
As a leader of this fast-paced group you will have a unique opportunity to expand the team and build services that power Workday ML features in production
In this role, you will lead and partner with Machine Learning Engineers, Software Engineers, and Product Managers to build the technology that brings these features to life
Set the vision and strategy for the ML organization that builds our HCM and FIN focused services
Take part in all phases of the ML software development lifecycle, including requirements analysis, data selection, methodological exploration, technical design, software construction, quality assurance, and integration with the Workday ecosystem
Scope and craft new machine learning products and features in conjunction with product management
Participate in the agile development process, including scheduling and estimation of machine learning software project tasks
Act as service owner and support events like upgrades, feature requests, and infrastructure changes
Lead your team in designating the main effort from among contending team priorities
Inspire your team and enable their career growth
Identify and remove roadblocks for your team’s success
Build strong relationships with partner teams both upstream and downstream of your service

Application process

End Date: June 18, 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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