Senior Staff Machine Learning Platform Engineer

New

FaireWholesale technology platform

This role can also be performed remotely for candidates located in Ontario, Canada.Full-TimeSenior

Salary$248,000 to $341,000 per year

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Job Details

Experience: 10-12 years
Required Skills: PythonSQLMachine LearningMLFlowPyTorchSparkDatabricksDistributed Systems

10-12 years of experience building and improving large-scale ML or data platforms
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
Proven ability to design systems that support multiple data science teams and production workloads
Strong background in distributed systems, ML infrastructure, and cloud architecture
Demonstrated technical leadership across teams and orgs; ability to influence without authority
Experience with Python, SQL, and Kotlin
Proficiency in PyTorch, PySpark, and MLFlow
Familiarity with big data processing tools like Kafka, Snowflake, Iceberg, and Airflow

Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, and governance
Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
Optimize performance, reliability, and cost of the ML platform
Evaluate and integrate emerging Databricks features
Serve as senior ML technical advisor to Faire’s data science and production engineering teams
Mentor ML engineers and raise the overall bar for Machine Learning at Faire

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