ML Engineering, Workday
ML Ops
$147.2-220.8k
Salary based in Colorado and may vary in further locations
More information about location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
$147.2-220.8k
Salary based in Colorado and may vary in further 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
- Highly self-motivated, always looking to take on work and get great pleasure from delivering production scale machine learning solutions to customers
- A collaborative teammate who uses positive leadership to coordinate and deliver results across teams
- A fast learner, detail oriented, decisive, and enjoys a fast-paced work environment
- Flexible, reliable, outgoing and has a positive work attitude
- 3+ years understanding of Python in both production and ETL settings
- 2+ years of building Data or MLOps pipelines using Python, Airflow, Databricks, or other similar cloud native services
- 2+ years experience on AWS, Vertex AI, and Kubernetes
- 2+ years experience in operationalization of Data Science projects using at least one of the popular frameworks or platforms (e.g. Airflow, Kubeflow, AWS Sagemaker, Google AI Platform) - Kubeflow in particular is a plus
- 1+ years experience building both data / ETL pipelines as well as model training infrastructure, and working with GPUs
- 1+ years Experience managing and supporting Docker, Kubernetes, Spark, CI/CD, Git-Ops
- 1+ years Experience with data versioning, ML model management, lifecycle, and reproducibility
- Experience with ML frameworks such as PyTorch, Keras, Transformers, SKLearn
- Experience with fine-tuning NLP models and with HuggingFace
- Experience with AWS services especially EKS
- 1+ years with MLOps tools like TFX, MLFlow, Kubeflow, Apache Spark, etc
- B.S. in a relevant field - (E.g. Computer Science, Mathematics, Engineering). M.S. or Ph.D are nice, but not required
What the job involves
- Come join the Workday Search/Assistant team!
- We are part of the Employee Experience organization that enables employers to better engage and support their people while making work more personal and productive
- Workday is looking for a hardworking Machine Learning Operations engineer to contribute to the strategic mission of reaching workers where they are at
- You will join an energetic, open minded and supportive group of engineers to redefine how workers engage with Enterprise applications
- If you have a willingness to explore the unknown, be a technological pioneer and have passion around improving customer experiences then we want to hear from you!
- Implement MLOps tools, frameworks, and platforms to support ML development, deployment, and governance
- Create and maintain a repeatable and reusable ML workflow for model training, evaluation, deployment, and maintenance
- Improve tracking and monitoring of models, experiments, artifacts, and data
- Engage with data engineers and data scientists in feature engineering efforts
- Diagnose and resolve ML workflow and production issues quickly
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people
Application process
- End Date: June 30, 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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