Remote opportunity at
FaireSenior Staff Machine Learning Platform Engineer
Faire operates a wholesale technology platform that connects independent retailers and brands globally, utilizing data science and machine learning to empower local commerce. The company is…
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About This Role
Faire operates a wholesale technology platform that connects independent retailers and brands globally, utilizing data science and machine learning to empower local commerce. The company is currently hiring a Senior Staff Machine Learning Platform Engineer to shape the technical roadmap of its ML infrastructure. This remote position within Ontario, Canada, suits an experienced technical leader interested in scaling machine learning workflows, guiding multi-workspace strategies, and incorporating modern artificial intelligence productivity…
Job Description
Faire operates a wholesale technology platform that connects independent retailers and brands globally, utilizing data science and machine learning to empower local commerce. The company is currently hiring a Senior Staff Machine Learning Platform Engineer to shape the technical roadmap of its ML infrastructure. This remote position within Ontario, Canada, suits an experienced technical leader interested in scaling machine learning workflows, guiding multi-workspace strategies, and incorporating modern artificial intelligence productivity tools.
In this capacity, the engineer will steer the long-term architecture for model training, inference, and governance while advising production engineering and data science units. Responsibilities include defining company-wide MLOps standards, optimizing system performance and costs, and establishing robust data mesh patterns. The role requires a decade or more of hands-on background constructing large-scale data and machine learning frameworks, alongside deep familiarity with Databricks lakehouse operations, Spark, MLflow, and distributed cloud systems.
Faire offers a competitive annual compensation package ranging between $248,000 and $341,000 in Canada, complemented by equity and comprehensive benefits. Qualified candidates can expect to influence high-impact initiatives, mentor engineering colleagues, and contribute to an environment that supports equal employment opportunities. Artificial intelligence tools are utilized during the applicant screening phase for this open position.
Responsibilities
- Design and guide the multi-year architecture of the machine learning platform, covering model governance, inference, and training.
- Formulate organization-wide benchmarks regarding continuous integration, testing, observability, MLOps, and model lifecycle management.
- Drive advanced usage of multi-workspace tactics, Unity Catalog implementations, and data mesh concepts.
- Build highly scalable machine learning pipelines utilizing Delta Lake, Spark, and MLflow.
- Enhance the reliability, cost-efficiency, and speed of the machine learning infrastructure.
- Examine and adopt new Databricks capabilities as they emerge.
- Advise data science and production engineering teams as a senior technical authority.
- Represent the organization at industry meetups and machine learning conferences.
- Coach machine learning engineers to elevate technical standards across the company.
Requirements
- Possess ten to twelve years of background designing and scaling data or machine learning platforms.
- Demonstrate extensive knowledge of Databricks lakehouse environments, including Unity Catalog governance, Workflows orchestration, and financial efficiency.
- Show a proven history of engineering systems capable of supporting diverse data science teams and production loads.
- Bring robust expertise in cloud architecture, distributed systems, and machine learning infrastructure.
Qualifications
- Hold a degree, ideally at the graduate level, in a technical discipline such as Computer Science, Engineering, or Statistics.
- Demonstrate past involvement in incorporating large language model workflows into enterprise-grade systems.
- Contribute prior work to open-source machine learning infrastructure initiatives or research literature.
Core Skills
Benefits
- Competitive annual salary between $248,000 and $341,000 for candidates based in Canada.
- Eligibility for company equity.
- Comprehensive benefits package supporting personal and professional wellbeing.
Frequently Asked Questions
Is this position remote?
Yes, this role can be performed remotely for candidates located in Ontario, Canada.
What is the salary range for this role?
For candidates in Canada, the annual pay range is $248,000 to $341,000, and the position is also eligible for equity and benefits.
What level of experience is required?
Applicants must have 10 to 12 years of experience building and improving large-scale machine learning or data platforms, along with a degree in a related technical field.
Does Faire use AI during the hiring process?
Yes, Faire uses artificial intelligence to screen and select applicants for this position.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.