Senior Staff Machine Learning Platform Engineer
Faire
9 days ago
San Francisco, CA, USA or Toronto, Canada
Senior / Staff+
Base Salary
$268k - $369k/yr
Responsibilities
- Define and drive the long-term architecture of Faire’s ML platform.
- Establish company-wide standards for code quality, testing, and MLOps.
- Lead adoption of Unity Catalog and multi-workspace strategies.
- Architect scalable ML workflows using Spark, Delta Lake, and MLflow.
- Optimize performance, reliability, and cost of the ML platform.
- Evaluate and integrate emerging Databricks features.
- Engage with the latest developments in machine learning and AI.
- Serve as a senior ML technical advisor to data science and production engineering teams.
- Represent Faire at ML conferences and meetups.
- Mentor ML engineers to raise the overall bar for Machine Learning at Faire.
Requirements
- 10-12 years of experience building and improving large-scale ML or data platforms.
- A degree in Computer Science, Engineering, Statistics, or a related field.
- Deep expertise in Databricks lakehouse architecture and governance.
- Proven ability to design systems supporting multiple data science teams.
- Strong background in distributed systems, ML infrastructure, and cloud architecture.
- Demonstrated technical leadership and ability to influence without authority.
- Experience integrating LLM workflows into enterprise platforms is a plus.
- Previous contributions to open source ML Infrastructure projects or research publications is a strong plus.
Benefits
- Hybrid work model with flexibility to work remotely up to 4 weeks per year.
- Equity and benefits eligibility.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSDatabricksDatadogDockerGitHub ActionsKotlinKubernetesMLflowMySQLPythonPyTorchSnowflakeSQLTerraform
Categories
AI & MLData Engineering