Faire
Senior Staff Machine Learning Platform Engineer
Kitchener-Waterloo, ON; Toronto, ON · Staff+
Sponsorship not specified$248k-$341kDetected 1 day ago
PythonKotlinDistributed SystemsGitSQLMySQLSnowflakeDatabricksAWSDockerKubernetesTerraformCI/CDGitHub ActionsDatadogPlatform EngineeringKafkaMachine LearningPyTorchSparkAirflowData ScienceLLMsMLOps
About the role
- This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools.
Responsibilities
- Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance
- Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
- Optimize performance, reliability, and cost of the ML platform
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.
- You won't just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
Requirements
- 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.
Skills
- Faire uses a modern cloud based tech stack.
- For this role, you'll want to be proficient with the following:
- Python, SQL, Kotlin
- ML Frameworks
- PyTorch, PySpark, MLFlow
- Big Data & Processing
- Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
- Cloud & Infrastructure
- AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
- Generative AI
- Claude Sonnet 4.5, ChatGPT 5.2
- Best in
Compensation
- Canada: the pay range for this role is $248,000 to $341,000 per year.
- Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
- The base pay range provided is subject to change and may be modified in the future.
- Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Benefits
- At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
- As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire's ML platform.
Company info
- We're looking for smart, resourceful and passionate people to join us as we power the shop local movement.
This listing is sourced directly from Faire's careers page and normalized into a canonical job model.