2 months ago
Base Salary
$295k - $406k/yr
Responsibilities
- Define and drive the long-term architecture of the ML 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 and advanced use of Unity Catalog, multi-workspace strategies, and data and ML mesh patterns.
- Architect scalable ML workflows using Spark, Delta Lake, and MLflow.
- Optimize the platform’s performance, reliability, and cost.
- Evaluate and integrate emerging Databricks features.
- Advise data science and production engineering teams as a senior ML technical leader.
- Represent Faire at machine learning conferences and meetups.
- Mentor ML engineers and raise the organization’s machine learning engineering standards.
Requirements
- 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, preferably at the graduate level.
- 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 a plus.
- Contributions to open-source ML infrastructure projects or research publications are a very strong plus.
Benefits
- Hybrid schedule with three office days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday.
- Hybrid employees may work remotely for up to four weeks per year.
- Equity and comprehensive benefits are provided.
- Employees receive access to enterprise AI tools and opportunities for professional growth.
- The company supports reasonable workplace accommodations and equal employment opportunities.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSDatabricksDatadogDockerGitHub ActionsKotlinKubernetesMLflowMySQLPythonPyTorchSnowflakeSQLTerraform
Categories
About Faire
Faire is a wholesale technology platform empowering brands and retailers to strengthen the unique character of local communities.