Machine Learning Engineer
2 weeks ago
Apply remote type: Flex
locations: Canada, BC, Vancouver; Canada, ON, Toronto
time type: Full Time
posted on: Posted 3 Days Ago
job requisition id: JR-0089473
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. Our culture is driven by our value of putting our people first. The happiness, development, and contribution of every Workmate is central to who we are.
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. As part of a global, high-growth technology company, our work supports thousands of the largest global companies and more than 30 million end users. You will solve complex problems and influence machine learning and application development across Workday.
About the Role
We're building ML powered Search and Generative AI services and platforms to modernize how users interact with Workday - adding ease, intelligence, and efficiency to everyday interactions. As a machine learning engineer, you will help develop tailored experiences for every user powered by advanced Large Language Models (LLMs), personalization, and predictive analysis.
Key Responsibilities:
- Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users.
- Preprocess and clean large amounts of unstructured text data to ensure quality and consistency for Natural Language Processing (NLP) and other ML model training.
- Engineer relevant features from textual data to facilitate accurate model predictions and classification.
- Apply machine learning techniques including LLMs, deep learning including generative models, natural language understanding, sentiment analysis, topic modeling, and named entity recognition to analyze large sets of HR-related text data.
- Train, validate, and fine-tune machine learning models using large-scale datasets to achieve robust performance.
- Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products.
- Collaborate across teams to deliver your products through Workday end user applications.
- Keep abreast of the latest advancements in NLP research, techniques, and tools.
Basic Qualifications:
- Bachelor’s (Master’s preferred) degree in engineering, computer science, physics, math or equivalent
- 3+ yrs experience as a member of a data science or machine learning engineering team.
- Proficiency in Python and supporting numeric libraries, with experience in shipping production code and models.
- Experience in machine learning and deep learning frameworks & toolkits such as Pytorch, Tensorflow, and Sklearn.
- Proven theoretical and practical understanding of statistical analysis and machine learning algorithms, natural language processing.
- Experience with generative models, large language models, and transformer based deep neural networks.
- 2 or more years experience building applied machine learning products.
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location.
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
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