Senior Staff Machine Learning Platform Engineer

20 days ago

Remote, Canada or Toronto, CanadaStaff+

H1B Sponsor

Responsibilities

Own the technical vision and long-term architecture of Faire’s machine learning platform across training, inference, feature management, and governance.
Establish company-wide standards for code quality, testing, MLOps, experimentation, model lifecycle management, and observability.
Lead adoption of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns.
Architect scalable ML workflows using Spark, Delta Lake, and MLflow.
Optimize the platform for performance, reliability, and cost, and evaluate emerging Databricks features.
Advise data science and production engineering teams on ML technology and architecture.
Mentor ML engineers, lead cross-functional initiatives, and raise the organization’s machine learning engineering standards.
Represent Faire at machine learning conferences and meetups.

10–12 years of experience building and improving large-scale machine learning or data platforms.
A degree in Computer Science, Engineering, Statistics, or a related technical field; graduate-level education is preferred.
Deep expertise in Databricks lakehouse architecture, including Unity Catalog governance, Workflows orchestration, and cost optimization.
Experience designing 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 organizations, including influencing without authority.
Experience integrating LLM workflows into enterprise platforms is preferred.
Open-source ML infrastructure contributions or research publications are strongly preferred.

Base pay range of $248,000–$341,000 per year, plus equity and comprehensive benefits.
Hybrid employees work in the office three days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday, with up to four weeks of remote work per year.
The role can be performed remotely for candidates located in Ontario, Canada.
Access to enterprise AI tools and opportunities for professional growth in a collaborative workplace.

1,001-5,000 employees

Faire is a wholesale technology platform empowering brands and retailers to strengthen the unique character of local communities.