MLOps Engineering Manager, Workday
CA$132-198k
More information about location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
CA$132-198k
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
- Bachelor's degree in Computer Science, Machine Learning; Master's degree preferred
- Minimum of 5 years of experience in a management role, leading machine learning or software engineering teams
- Minimum of 10 years of hands-on experience in software engineering, with a strong focus on machine learning
- Deep understanding of machine learning principles, algorithms, and techniques
- Extensive experience with cloud platforms (e.g., AWS, GCP), including machine learning services (e.g., SageMaker, Vertex AI, Databricks)
- Proven experience with data engineering concepts and tools, including data warehousing, ETL processes, and big data technologies (e.g., Spark)
- Proficiency in Python and experience with machine learning libraries and frameworks (e.g.,PyTorch, TensorFlow, scikit-learn)
- Proven understanding of software development standard processes, including version control (Git), CI/CD, and testing
- Strong experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Experience with data platforms and databases (SQL and NoSQL)
- Excellent communication, collaboration, and leadership skills
- Strong problem-solving and analytical abilities
- Ability to thrive in a fast-paced, dynamic environment
- Proven ability to deliver high-quality machine learning solutions in a production setting
- Experience with MLOps practices and tools, ideally Kubeflow ecosystem
- Contributions to open-source machine learning projects
- Experience with specific machine learning domains (e.g., natural language processing, recommendation systems)
What the job involves
- This is an opportunity to be part of a growth team focused on MLOps
- We build ML capabilities into our products, and you would be building part of the next generation of Workday technology
- We believe predictive products can be as ground-breaking to the next interation of technology as mobile was to the last
- We are seeking a highly skilled and experienced Machine Learning Manager to lead our dynamic team of machine learning engineers
- The ideal candidate will be a hands-on technical leader with a consistent track record of building and deploying machine learning platforms and integrating them with other services
- You will be responsible for driving the development and implementation of our machine learning strategy, ensuring the delivery of high-quality, scalable, and robust solutions
- Lead and develop a team of software development engineers, fostering a collaborative, innovative environment
- Drive the design, development, and deployment of end-to-end machine learning systems, from data ingestion and preprocessing to model training, evaluation, and deployment
- Oversee the building/development and maintenance of our ML platform, ensuring its scalability, reliability, and performance
- Lead the integration of machine learning solutions with other company services and systems
- Collaborate with multi-functional teams, including product management, data engineering, and software development, to define project requirements and deliver solutions that meet business needs
- Stay up-to-date with the latest advancements in machine learning, cloud computing, and related technologies, and drive the adoption of standard methodologies
- Ensure the quality, security, and compliance of all machine learning solutions
- Mentor and develop team members, providing technical guidance and fostering their professional growth
- Manage project timelines, resources, and budgets effectively
- Contribute to the overall AI/ML strategy of the organization
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
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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