Principal Software Engineer - ML at Workday

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 TeamJoin the ML Model Ops team at Workday, where we are developing a pioneering platform that enables our machine learning teams to handle and deploy their models. Our mission is to refine the ML lifecycle by providing robust, scalable, and reliable services that address the complexities of Workday’s sophisticated architecture. We adhere to industry-leading practices, allowing our teams to focus on innovation and model development without the burden of scalability and operational complexities.Our team addresses the challenges of handling an increasing number of models, optimizing the balance between inference speed and operational costs. We also oversee the integration and management of models from various Workday teams for multiple Workday tenants across multiple regions, centralizing their management along with third-party model APIs and implementing security practices like access controls, and expiry of customer data among others.We are looking for professionals who are passionate about innovation and thrive in situations that require problem-solving and forward-thinking. If you are ready to shape the future of ML operations at Workday, we invite you to bring your expertise to our dynamic team.About the RoleThis role is integral to the development and enhancement of the Machine Learning Platform at Workday. You will be tasked with crafting and implementing full-spectrum products and features, including A/B testing, lifecycle management of models, and deployment of machine learning models to production. Your technical expertise will be pivotal in seeking out opportunities and driving forward product development, emphasizing continuous enhancement, quality, scalability, and security. As a proactive problem-solver, you will apply your intellectual curiosity and innovative thinking to develop services that are scalable, secure, and user-centric. A sense of ownership and a collaborative spirit are essential to thrive in this position.About YouWe are seeking innovative Software Engineers who are committed to making a significant impact. Your role will involve envisioning, designing, and developing products that enable MLEs and generate substantial cost savings for the company. You are naturally curious, always ready to challenge the conventional, and flourish by exploring and applying innovative techniques to address sophisticated issues.Your ability to lead initiatives and drive the team's charter is crucial. Collaboration is at the heart of everything you do; you excel in fostering teamwork and bringing out the best in your colleagues. You find your greatest joy in working alongside a skilled and driven team that shares your passion for software and technology.Key ResponsibilitiesDesign, implement, and maintain large-scale systems, facilitating the deployment of ML models into production environments.Gain a comprehensive understanding of the ML landscape at our company, finding opportunities and leading team initiatives.Researching, evaluating, and prototyping new machine learning tools, focusing on reliability and scalability. Draft design documents to build consensus around new system components and enhancements.Collaborating with Architects, MLEs and Engineering Managers to refine requirements and spearhead technical solutions.Fix, enhance, and scale continuous integration software pipelines.Cultivate relationships with software engineers, machine learning engineers, and data scientists across teams.Address alerts and debug production issues promptly.Review pull requests to ensure code consistency, performance, readability, and security.Create technical documents to disseminate knowledge among engineering peers.Basic QualificationsB.A./B.S. in Computer Science (Master’s degree or equivalent experience is a plus).8+ years of full-time industry experience in software engineering, with exposure to machine learning platforms.5+ years of experience in Python, ideally using it to build services rather than for scripting.Demonstrated ability to use Bash/Linux command line.Consistent record in designing and deploying high-performance systems in production settings.Familiarity with MLOps processes and tools like Ray Serve and MLFlow or their comprable equivalent.Experience with AWS S3, and IAM roles.Knowledge of communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices.Other QualificationsExperience in DevOps, including familiarity with Git, Kubernetes, and Jenkins.Experience in building and monitoring services with tools like Prometheus and Grafana.Previous experience with enterprise SaaS products.Expertise in secure network design and implementation.Availability for on-call support on a rotating basis.Proficiency in infrastructure automation tools like Terraform and Ansible, implementing CI/CD pipelines using Git and Jenkins, and continuous deployment tools such as ArgoCD.Self-motivated with a strong sense of ownership and capable of optimally prioritizing multiple tasks in a dynamic environment.Strong communication and social skills.Workday Pay Transparency StatementThe 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: CAN.ON.TorontoPrimary CAN Base Pay Range: $151,200 - $226,800 CADAdditional US Location(s) Base Pay Range: $163,400 USD - $294,000 USDOur Approach to Flexible WorkWith 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!SummaryLocation: Canada, ON, Toronto; USA, OR, Beaverton; Canada, BC, Vancouver; USA, CO, BoulderType: Full Time