Principal Software Engineer - ML

About the Role

This 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 You

We 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 Responsibilities

• Design, 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 Qualifications

• B.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 Qualifications

• Experience 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 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.

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.

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 USD