4 hours ago
Base Salary
$295k - $406k/yr
Responsibilities
- Define and drive the long-term architecture of Faire’s 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 of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns.
- Architect scalable ML workflows using Spark, Delta Lake, and MLflow.
- Optimize ML platform 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 organization-wide ML engineering standards.
- Represent Faire at machine learning conferences and meetups.
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; 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 a plus.
- Open-source ML infrastructure contributions or research publications are a strong plus.
Benefits
- California base pay is $295,000–$405,500 per year, with eligibility for equity and comprehensive benefits.
- Hybrid employees work from the office three days per week on Tuesdays, Thursdays, and one flexible Monday, Wednesday, or Friday; remote work is available for up to four weeks per year.
- The role may be performed remotely from the listed eligible U.S. states.
- Faire provides equal employment opportunities and reasonable accommodation throughout the employment and recruitment process.
- Faire provides access to enterprise AI tools and opportunities for professional growth.
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.