Faire

Senior Staff Machine Learning Platform Engineer

Faire
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4 hours ago
Remote, United States or San Francisco, CA, USAStaff+
H1B Sponsor

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
Faire

About Faire

1,001-5,000 employees

Faire is a wholesale technology platform empowering brands and retailers to strengthen the unique character of local communities.