Machine Learning Engineer

Job description

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 great opportunity in the Machine Learning (ML) organisation. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. Part of a global, high-growth technology company, our Workday team has the opportunity of developing the next generation of Workday’s groundbreaking collaborative products supporting a customer base of 60 million users. Workday is developing an AI/ML centre of excellence in Ireland. It will address sophisticated research problems in the areas of: human AI partnership, ML Model Performance, Explainable AI (XAI) and Responsible AI.

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 optimise the way people work! Are you incredibly motivated by AI research and witnessing AI products come to life?

Workday’s Machine Learning organisation is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative and deeply skilled machine learning engineers and researchers to work with us on a range of these challenges.

About The Role

As a machine learning researcher or engineer, you will do research to help develop tailored experiences for every user powered by sophisticated machine learning. You will work closely with other ML researchers and engineers to deliver ML research and solutions. You will use modern 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 apply Workday’s vast computing resources on rich, best-in-class 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 people. Sound like your kind of challenge?

In this role, you would:

  • Be a member of the Dublin-base AI/ML Centre of Excellence Machine Learning team.
  • Conduct projects answering high-reaching research questions.
  • Preprocess and clean large volumes of structured and unstructured data to ensure quality and consistency for ML model training and Natural Language Processing (NLP).
  • Engineer relevant features from textual data to facilitate accurate model predictions and classification.
  • Apply the latest research findings to the design and execution of advanced machine learning models, algorithms and frameworks to deliver value to our users.
  • Train, validate, and fine-tune machine learning models using large-scale datasets to achieve robust performance.
  • Be responsible for the performance and scalability of your research codeline and products.
  • Disseminate your research throughout Workday.
  • Collaborate across teams to build your research findings into the Workday product.
  • Be given autonomy and ownership over your work, but with the support of the entire organisation.
  • Stay on top of the latest advancements in AI and ML research, techniques, and tools.
  • Have extraordinary opportunities for career growth and learning in a fast-growing, forward-looking company.

About You

You are a great teammate, with strong communication skills, with experience working across functions and teams. You are resilient to obstacles, and have the ability to solve problems independently. You have a strong growth mindset and perceive feedback as a gift that helps grow.

Basic qualifications:

  • PhD or Research MSc. in a relevant field, e.g. Machine Learning, Artificial Intelligence.
  • 3+ yrs experience as part of a data science or machine learning science, machine learning engineering, or other relevant software development team.
  • Good theoretical and practical understanding of statistical analysis and machine learning algorithms, natural language processing, especially for supervised, unsupervised and self-supervised methods.
  • Strong 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 modelling, and productizing machine learning algorithms.

Other Qualifications:

  • 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.
  • Experience with data engineering and data wrangling using e.g. Pandas and PySpark.
  • Experience with generative models, large language models, and transformer based deep neural networks.
  • Familiarity with large language models 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).

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.

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