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. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
About The Team
This is a very exciting opening in the Human Capital Management (HCM) Skills Machine Learning (ML) team. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. You will take on sophisticated problems and influence teams across Workday as you build enterprise software. Thrive in our fun, people-first culture that builds an environment focused on your success and ability to do your best work. Join us as we change and optimize the way millions of end-users work!
Are you incredibly motivated by witnessing machine learning/AI products come to life in production settings which impact tens of millions of people? Workday’s Machine Learning organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled machine learning engineers/scientists to work with us on a range of these challenges.
About The Role
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. You will work closely with other ML engineers and software developers to deliver ML solutions that enable personalized user experience across Workday’s product ecosystem. You will apply current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised, deep learning and classical. You will develop new APIs/microservices and deploy them using docker/kubernetes at scale. You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our customers make decisions and run their business. 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 users. Sound like your kind of challenge?
In this role, you would:
- 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, and design and launch pioneering cloud based machine learning architectures.
- 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.
- Be given autonomy and ownership over your work, but with the support of the entire organization.
- Keep abreast of the latest advancements in NLP research, techniques, and tools.
- Have extraordinary opportunities for career growth and learning in a fast-growing, forward-looking company.
Basic qualifications:
- 3+ yrs experience as a member of a data science or machine learning science, machine learning engineering, or other relevant software development 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, especially for supervised, unsupervised and self-supervised methods.
- Experience with generative models, large language models, and transformer based deep neural networks.
- 2 or more experience building applied machine learning products, including taking a product through applied research, design, implementation, production, and production based evaluation.
- Execution of projects for products handling large-scale, complex data sets, data modeling, and productizing algorithms.
- Experience with data engineering and data wrangling using e.g. Pandas and PySpark.
- Familiarity with LLMs such as Llama, different GPT models, and their applications in real-world scenarios.
- Exposure to advanced techniques such as reinforcement learning, imitation learning, and graph neural networks.
- Experience with cloud computing platforms (e.g. AWS, GCP) and containerization technologies (e.g. Docker).
- Standout colleague, strong communication skills, with experience working across functions and teams.
- Bonus points for relevant PhD and/or machine learning related research publications.
- M.S. in a relevant field, e.g. Computer Science, Mathematics, Engineering.
- Resilience to obstacles, and ability to solve problems independently.
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.
Primary Location: USA.GA.Atlanta
Primary Location Base Pay Range: $144,000 USD - $216,000 USD
Additional CAN Location(s) Base Pay Range: $120,000 - $180,000 CAD
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. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simplyspend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
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