2 months 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 builds a B2B wholesale marketplace that connects independent retailers with consumer brands for product discovery, ordering, and net terms. It monetizes through marketplace commissions and financial services, and provides tools for payments, returns, and analytics to help shops source inventory. Founded in 2017 and headquartered in San Francisco, it operates across North America and Europe and is privately held.