Senior Machine Learning Systems Engineer (US)

Location: Remote - US. Remote team members are required to travel to in-office events in Mississauga and/or Salt Lake City, including onboarding, team events, and semi-annual or annual team meetings.

Base salary: $174,000–$218,000 per year, plus bonus and benefits.

Company

hirify.global is building a centralized machine learning platform team that supports traditional ML and hybrid ML/LLM solutions across the organization.

What you will do

• Translate machine learning needs into reliable, reusable platform capabilities with Product and Engineering teams.
• Design and build scalable data and ML pipelines for model training, evaluation, deployment, and serving.
• Develop MLOps tooling and workflows, including model CI/CD, model registries, feature stores, and experiment tracking.
• Improve production reliability, observability, performance, and cost through monitoring, alerting, and automated remediation.
• Implement authentication, role-based access control, audit logging, and compliance monitoring for the ML platform.
• Mentor engineers and promote reusable platform patterns and engineering best practices.

Requirements

• Expert-level Python and Java skills with strong software engineering fundamentals.
• Experience designing and building ML platforms and MLOps workflows.
• Experience with cloud platforms, primarily Azure and secondarily AWS and GCP.
• Experience with ML runtime containerization, optimization, and orchestration using Docker and Kubernetes.
• Ability to build secure integrations with existing systems, APIs, and data sources.
• Must be based in the US for this remote role.

Nice to have

• Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
• Familiarity with Azure Machine Learning, Databricks processing, and serverless environments.
• Experience implementing security at scale, including MFA, network security, and compliance monitoring.
• Experience optimizing large-model training and inference, including LLM serving, for performance and cost.

Culture & Benefits

• Remote work with required travel to onboarding, team, and company meetings in Mississauga and/or Salt Lake City.
• Bonus and benefits are included in the total rewards package.