Staff Machine Learning Platform Engineer, Faire
$216-297k
+ equity
More information about location
3 days a week in office
Online wholesale marketplace
Be an early applicant
Online wholesale marketplace
1001+ employees
Be an early applicant
$216-297k
+ equity
More information about location
3 days a week in office
1001+ employees
Company mission
To empower brands and retailers to strengthen the unique character of local communities.
Role
Who you are
- 8+ years of experience building production ML or data platforms
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
- Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow
- Proficiency in Python, SQL, and distributed systems concepts
- Experience with cloud platforms and infrastructure-as-code
- Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
- Experience supporting multiple ML teams in a shared platform environment
- Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done
What the job involves
- As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance
- You are the technical bridge between data science and production engineering
- You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape
- Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
- Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
- Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
- Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
- Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
- Optimize performance, reliability, and cost across training and inference workloads
- Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
- Establish observability for data quality, model performance, and platform health
- Build and maintain ML Platform technical documentation
- Tech Stack:
- Languages: Python, SQL, Kotlin
- ML Frameworks: PyTorch, MLFlow
- Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
- Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
- Generative AI: Claude Sonnet 4.5, ChatGPT 5.2
Our take
Faire is helping retailers find and buy wholesale merchandise for their stores, pairing independent brands with retailers. The company connects two million retailers globally to hundreds of thousands of brands across the globe.
In addition to a large catalog, the company attracts smaller retailers by offering net 60-day terms and free returns to boost confident buying at unpredictable times. Faire has seen impressive growth, reporting 300% year-on-year volume growth and a valuation of over $12.6B following its most recent tranche of funding from Shopify.
This investment is funding its continuing expansion into European and Australian markets, while accelerating product development, focusing on its OS for wholesale. It is also hiring talent globally as it takes aim at becoming a kind of Amazon for local and indie brands that want to sell globally.
Steph
Company Specialist at Welcome to the Jungle
Insights
109% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
May 2022
$416m
SERIES G
Nov 2021
$400m
SERIES G
Total funding: $1.5bn
Company benefits
- Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.
- Time off: Paid time off, holidays and company-wide "Faire Fundays".
- Parental leave: Generous parental and family leave, as well as fertility support benefits.
- Productivity support: Monthly stipends to help cover work from home connectivity needs.
- Annual learning grant: For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning.
- Thoughtfully designed spaces: All of our offices have been designed with local in mind – from our architects to our coffee blends.
- Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.
- Mental health benefits: Including free access to Modern Health therapists and resources.
- Charitable matching: Faire will match up to £250 of your charity donations, every year.
- Career planning: Whether you want to grow as a leader, hone your craft or explore a new discipline, our career framework allows space for you to explore.
Company HQ
Mission District, San Francisco, CA
Leadership
Max Rhodes
(Co-Founder & CEO)Previously an Advisor at Blunt Umbrellas and a Director of Consumer Product at Square.
Marcelo Cortes
(Co-Founder 7 Chief Architect)Previously a Senior Software Engineer at Google. Prior to that, they co-founded FreePoint Inc.
Jeff Kolovson
(Co-Founder & COO)Previously an Operations Lead at Square. Prior to that, they were a Business Analyst for McKinsey and Co.
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