Senior Staff Machine Learning Platform Engineer
faire · Remote
- Posted
- 8 days ago
- Last confirmed live
- 4 days ago
What this role involves
This role focuses on defining the long-term architecture of Faire's ML platform, establishing MLOps standards, and leading cross-functional initiatives. The engineer will work with technologies like Databricks, Spark, and MLflow to support data science teams. Requires 10-12 years of experience in large-scale ML or data platforms.
Skills this posting asks for
- databricks
- spark
- delta lake
- mlflow
- unity catalog
- aws
- python
- java
- typescript
- sql
- terraform
- docker
- distributed systems
- ml infrastructure
- cloud architecture
- llm
- open source contributions
- mlops
- ci/cd
- experimentation
- model lifecycle management
- observability
Requirements
- 10 years of experience
- Level: staff
From the employer’s posting
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale mark…
Read the full description on faire’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at faire
- Principal Product Manager, Financial ProductsNew York City, NY; San Francisco, CA; Toronto, ON
- Senior Enterprise Security EngineerSan Francisco, CA
- Staff Product Manager, AI, Data, ML & PlatformNew York City, NY; San Francisco, CA
- Staff Product Manager, Marketplace QualityNew York City, NY; San Francisco, CA; Toronto, ON
- Senior Product Manager, Search AlgorithmsNew York City, NY; San Francisco, CA
- Senior Staff Machine Learning Platform EngineerRemote