Staff ML Platform Engineer — Remote Canada

United States Digital Space LLC; United States; Hybrid; USD 156,000 - 215,000; Full time

Job summary

United States Digital Space LLC is seeking a Staff Machine Learning Platform Engineer to design, operate, and scale a production ML platform supporting thousands of local businesses.

You will bridge data science and production engineering, building scalable workloads and governance while collaborating with multiple ML teams across a shared platform environment. The role emphasizes MLOps, cloud infrastructure, and process improvements.

Qualifications

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands‑on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Active owner of orphaned problems and willingness to assimilate missing knowledge to get the job done

Responsibilities

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

Skills

Databricks

Spark

Delta Lake

MLflow

Python

SQL

Cloud platforms

IaC

MLOps

Multi-team support

Education

Bachelor's degree or higher in CS/Engineering/Statistics or related field

Tools

Terraform

GitHub Actions

Kubernetes

Snowflake

Job description

United States Digital Space LLC is seeking a Staff Machine Learning Platform Engineer to design, operate, and scale a production ML platform supporting thousands of local businesses.

You will bridge data science and production engineering, building scalable workloads and governance while collaborating with multiple ML teams across a shared platform environment. The role emphasizes MLOps, cloud infrastructure, and process improvements.