Faire

Senior Staff Machine Learning Platform Engineer

Faire
Apply
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
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.