Machine Learning Engineer, Workday
$139.8-248.4k
Salary is partially dependant on applicant’s location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
$139.8-248.4k
Salary is partially dependant on applicant’s 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
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
- 3+ years experience working on a data science, machine learning or related software development team
- 3+ years experience in Python and supporting numeric libraries, with experience in shipping production code and models
- 2+ years experience in machine learning and deep learning frameworks & toolkits such as Pytorch and Sklearn
- PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering. Publications in machine learning research are highly desirable
- 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 speed with delivering high-quality, practical solutions. Proven perseverance in overcoming meaningful problems
What the job involves
- As a Machine Learning Engineer, you will research, develop and build impactful and scalable AI agents and frameworks
- You will play a key role in designing and implementing pioneering AI technologies that drive intelligent automation and enhance user experiences across Workday's product ecosystem
- Developing advanced AI agents: You will contribute to the creation of sophisticated AI agents capable of understanding, learning, and interacting with complex systems
- Building robust AI frameworks: You will design and implement scalable and reliable frameworks for designing, deploying, evaluating and managing AI agents
- Partnering with engineers and product managers: You'll work closely with hardworking engineers and product managers to bring your AI solutions to life within Workday's products
- Leading projects end-to-end: You will be responsible for the full project lifecycle, from specification design and data preparation to model development, deployment, and monitoring
- Using Workday's data: You will use Workday's rich datasets to train and optimize AI models, delivering valuable insights and transforming how our customers operate
Application process
- End Date: February 8, 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
Few candidates hear
back within 2 weeks
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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