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32 Faire Data Scientist Jobs Hiring Near You

Faire

Senior Staff Machine Learning Platform Engineer

$295K - $405K/yr

Serve as senior ML technical advisor to Faire's data science and production engineering teams * Represent Faire at ML conferences and meetups * Mentor ML engineers and raise the overall bar for ...

Faire

Senior Applied AI/ML Scientist - Compass

New York, NY · On-site

$211K - $290K/yr

Compass helps retailers make smarter buying decisions by combining Faire's rich proprietary data ... As a Senior Applied AI/ML Scientist on the Compass team, you will be the science and technical lead ...

Faire

Senior Applied AI/ML Scientist - Compass

Kitchener, ON · On-site

CA$180K - CA$247K/yr

Compass helps retailers make smarter buying decisions by combining Faire's rich proprietary data ... As a Senior Applied AI/ML Scientist on the Compass team, you will be the science and technical lead ...

Faire

Senior Applied ML/AI Scientist - Search

New York, NY · On-site

$211K - $290K/yr

... data to return hyper-relevant, personalized products and brands for every user query. This is a ... Partner closely with teams across Faire to experiment and improve the ML models for search ranking ...

Faire

Staff Applied AI/ML Scientist

San Francisco, CA · On-site

$246K - $339K/yr

About this role Faire leverages the power of machine learning and data insights to revolutionize ... Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions ...

Faire

Senior Data Recruiter

San Francisco, CA

$148K - $203K/yr

About this role As a Senior Technical Recruiter at Faire, you will play a critical role in scaling ... disciplines (machine learning, data science, software engineering, or related fields)

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Infographic showing various Data Scientist job openings at Faire in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution.

Senior Staff Machine Learning Platform Engineer

Faire

Remote

$295K - $405K/yr

Full-time

Posted 23 days ago

Job description

Note: This role can also be performed remotely for candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin.

About this role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire's ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.  This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won't just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

  • Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance
  • Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
  • Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
  • Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
  • Optimize performance, reliability, and cost of the ML platform
  • Evaluate and integrate emerging Databricks features
  • Stay ahead of the curve by engaging with the latest developments in machine learning and AI
  • Serve as senior ML technical advisor to Faire's data science and production engineering teams 
  • Represent Faire at ML conferences and meetups
  • Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What it takes

  • 10-12 years of experience building and improving large-scale ML or data platforms.
  • A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
  • Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
  • Proven ability to design 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 orgs; ability to influence without authority
  • Experience integrating LLM workflows into enterprise platforms is a plus
  • Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you'll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, PySpark, 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

Salary Range

California: the pay range for this role is $295,000 to $405,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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