Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. A culture driven by our value of putting our people first is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is essential for success in business. We look after our people, communities, and the planet while still being profitable. Inspired to make a brighter work day for all and transform with us? Bring your brightest version of you and have a brighter work day here.
About the Team
We’re working on making machine learning core to Workday’s products by building data products and auto-ml models that can be scaled out to hundreds of use cases within Workday. You will solve complex problems and influence machine learning and application development across Workday.
About the Role
We’re building an ML platform designed to power Search, Generative AI, and other services in order to modernize how users interact with Workday. As a platform machine learning engineer, you will help build an ML development platform designed to support advanced Large Language Models (LLMs), personalization, and predictive analysis. You will work closely with other data engineers, ML engineers, and software developers to deliver ML solutions that enable ML powered search and user experience across Workday’s product ecosystem.
About You
Key Responsibilities
• Own exploration, design, and execution of platform technology that enables advanced ML models and algorithms.
• Build data pipeline tools to preprocess and clean large amounts of unstructured text data for Natural Language Processing (NLP).
• Apply machine learning techniques including LLMs, deep learning, natural language understanding, and sentiment analysis to analyze large sets of HR-related text data.
• Enable training, validation, and fine-tuning of machine learning models using large-scale datasets.
• Collaborate across teams to deliver your products through Workday end user applications.
• Keep abreast of the latest advancements in NLP research and techniques.
Basic Qualifications
• Bachelor’s (Master’s preferred) degree in engineering, computer science, physics, math, or equivalent.
• 3 or more years of experience developing, deploying, and supporting high-performance systems in production.
• 3 or more years of experience with industry tools used to build scalable machine learning systems, such as AWS, SQL, Elasticsearch, Kubernetes, Docker, and/or Spark.
• Proven understanding of statistical analysis and machine learning algorithms, natural language processing, and generative models.
Other Qualifications
• Experience with data engineering and data wrangling using e.g. Pandas and PySpark.
• Familiarity with LLMs and their applications in real-world scenarios.
• Standout colleague, strong communication skills, with experience working across functions and teams.
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
Company:
Workday Limited
Qualifications:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
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