Senior Principal Machine Learning Engineer, Workday
$226.5-402k
Salary range is dependent on location
More information about location
Enterprise management cloud platform
Open for applications
Enterprise management cloud platform
1001+ employees
Open for applications
$226.5-402k
Salary range is dependent on location
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
- If you are a passionate and experienced ML leader eager to shape the future of AI at Workday, we'd love to hear from you
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
- 12+ years experience working on a data science, machine learning or related software development team
- 12+ years experience in Python and supporting numeric libraries, with experience in shipping production code and models
- 10+ years experience in machine learning and deep learning frameworks & toolkits such as Pytorch and Sklearn
Desirable
- PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering. Publications in machine learning research are helpful
- Practical experience with generative models, large language models (LLM), retrieval augmented generation (RAG) systems, transformer neural networks
- Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)
- Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring
- An ability to balance a sense of urgency with delivering high-quality, practical solutions. Proven perseverance in overcoming challenging problems
What the job involves
- As a Senior Principal ML Engineer, you will be a key technical leader and visionary, driving the development and application of machine learning across Workday's product ecosystem. This includes:
- Architecting advanced ML solutions: You will guide the creation and implementation of sophisticated machine learning systems, from models and algorithms to infrastructure, to address complex business challenges and enhance our products
- Mentoring and guiding engineers: You will provide technical leadership and mentorship to a team of hard-working ML engineers, fostering a culture of innovation and teamwork
- Collaborating with product and engineering: You'll partner with product managers and engineering teams to define product roadmaps and ensure successful integration of AI solutions
- Staying ahead of the curve: You will keep yourself informed of the latest advancements in machine learning and AI research, identifying and evaluating new technologies for potential adoption
- We will challenge you to apply your deep expertise, critical thinking, and leadership skills to make a significant impact on thousands of enterprises and millions of users
Application process
- Posting End Date: 02/21/2025
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 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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