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.
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About the Team
This is an exciting opening in the Machine Learning team. 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 37 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 users work.
Are you motivated by participating in bringing machine learning/AI products 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 software development engineers to work with us on a range of these challenges.
About the Role
As a software development engineer, you will help develop tailored experiences for every user powered by advanced agentic AI, Large Language Models (LLMs), personalization, and predictive analysis. You will work closely with other software development engineers and ML engineers to deliver 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, and agentic AI powered by LLMs. You will develop new APIs/microservices and deploy them 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 businesses. 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:
Tackle sophisticated problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis.
Work closely with software development engineers, machine learning engineers, product managers, as well as other teams and organizations to take services and products from inception to production.
Take ownership for finding creative solutions that move projects, work-streams and products forward. Have determination to turn ideas into reality and improve user experience.
Write elegant code that exemplifies standard methodologies for automation, observability, testing, concurrency, and service interaction using design patterns, object orientation, and machine learning frameworks.
Work together with team mates on code reviews, knowledge share, hackathons, etc.
Apply machine learning techniques including agentic AI, LLMs, deep learning including generative models, natural language understanding, sentiment analysis, topic modeling, and named entity recognition to analyze large sets of data. Design, launch, monitor and optimize cloud based machine learning architectures.
Have opportunities for career growth and learning in a fast-growing, forward-looking company.
About You
Basic Qualifications
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5 or more years of proven industry experience with a Bachelor's Degree in Computer Science or related technical field, 3 or more years with a Masters or equivalent
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3 or more years of experience with production-level Software Development including the conception, specifying, crafting, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components.
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3 or more years of experience using programming languages (such as Python, Java, or similar) to deliver Production quality software solutions in an industry setting.
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Experience with Machine Learning technologies, frameworks and methods.
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2 or more years of experience building Production quality software with public cloud technologies (e.g., AWS, GCP, Azure) and Infrastructure as Code (e.g., AWS CloudFormation).
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3 or more years of experience maintaining and supporting Production software.
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2 or more years experience designing and implementing data pipelines to extract, transform, and load data from various sources enabling the training and deployment of machine learning models.
Other Qualifications
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Resilience to obstacles, and ability to solve problems independently.
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Active and influential contributor in the design of systems and services, accounting for stability, scalability, performance and observability as first-class considerations.
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Provides thoughtful and productive code review feedback that is seen by teammates as a significant improvement.
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Shown familiarity of agile methodologies.
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Experience with JSON, Protobuf, Avro, or other data structures and integration technologies. Experience with Kafka and/or other streaming frameworks.
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Strong understanding of scalable architecture and performance optimization for web applications.
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Algorithmic Thinking and a proven track record of designing, implementing, and analyzing algorithms
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Proven experience applying Object Oriented Design principles such as encapsulation, inheritance, polymorphism, and abstraction to build flexible and reusable software components.
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Experience developing Code Testing strategies with an emphasis on understanding various testing methodologies, such as unit testing, integration testing, functional testing, and regression testing, as well as the ability to use testing tools and frameworks.
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Strong sense of ownership and delivery of finished products. A balance between craftsmanship and the need to ship products to customers.
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Excellent communication and collaboration skills, with a strong focus on Team Collaboration and customer impact.
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Experience designing and developing business applications (knowledge of Workday products a plus).
Workday Pay Transparency Statement
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: CAN.ON.Toronto
Primary Location Base Pay Range: $106,400 CAD - $159,600 CAD
Primary CAN Base Pay Range: $106,400 - $159,600 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 simply spend 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!
