Machine Learning Engineer III

Machine Learning Engineer III focuses on develop infrastructure and services for agent execution, orchestration, state management, and runtime reliability.

What the role involves

• Develop infrastructure and services for agent execution, orchestration, state management, and runtime reliability.
• Build reusable abstractions, frameworks, and workflows in Python to support agent development patterns across teams.
• Design and implement systems for tool use, memory, retrieval, workflow coordination, and human-in-the-loop interactions.
• Maintain services deployed on Kubernetes, with a focus on scalability, resiliency, and operational excellence.
• Develop capabilities for evaluation, tracing, observability, debugging, and performance monitoring of agent behavior in production.
• Create internal APIs, SDKs, and developer tooling that make it easier for engineering teams to build on the platform.

Skills and requirements

• 3+ yrs experience as part of a data science, machine learning software development team or relevant work in a PhD or equivalent program.
• 5+ years experience in Python and experience building reliable, maintainable production services.
• 3+ years experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.
• 3+ years experience designing systems with a focus onscalability, reliability, observability, and maintainability.

Confirmed role details

• 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.
• Primary Location Base Pay Range: $156,000 CAD - $234,000 CADPrimary CAN Base Pay Range: $156,000 - $234,000 CAD.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• Build our Agent Platform—the core infrastructure that enables teams to develop, deploy, orchestrate.