Full-Time

Staff Data Scientist / Machine Learning Engineer

Search, Personalization, Ads

Confirmed live in the last 24 hours

Faire

Faire

1,001-5,000 employees

B2B marketplace for independent brands and retailers

Data & Analytics
Social Impact
Consumer Goods

Compensation Overview

$209.5k - $288kAnnually

+ Equity + Benefits

Senior

New York, NY, USA

Hybrid schedule requiring in-office presence 2 days per week (Tuesdays and Thursdays).

Category
Applied Machine Learning
Natural Language Processing (NLP)
Data Science
AI & Machine Learning
Data & Analytics
Required Skills
Data Science
Requirements
  • Experience with leading cross-team and cross-functional technical strategy and roadmap, solving long-term open-ended problems, and consistently driving significant business impact for the whole org.
  • 5+ years of industry experience using machine learning to solve real-world problems
  • Experience and strong understanding of search / personalization / ads for product development
  • Strong programming skills
  • An excitement and willingness to learn new tools and techniques
  • Experience with deep learning
  • The ability to contribute to team strategy and to lead model development without supervision
  • Strong communication skills and the ability to work with others in a closely collaborative team environment
  • Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
  • Ability to quickly implement state of the art algorithms from an academic paper
Responsibilities
  • Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).
  • Personalizing recommendation surfaces through embeddings, near-real-time / streaming signals, explore-exploit, and diversification.
  • Joining a newly established team building Ads Delivery and Advertiser Optimization from the ground up and tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design.

Faire operates a business-to-business (B2B) marketplace that connects independent brands with local retailers, primarily in the wholesale market. The platform enables brands to expand their reach to a larger audience of retailers, while retailers can discover unique products that set their stores apart from competitors. Faire generates revenue through a commission on sales made via its platform and provides additional services like inventory management and data analytics to help businesses improve their operations. The company focuses on supporting small to medium-sized businesses and aims to enhance the distinctiveness of local communities by empowering both brands and retailers to succeed.

Company Stage

Series G

Total Funding

$1.5B

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

3%

1 year growth

4%

2 year growth

8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Shopify's partnership boosts Faire's access to a vast merchant network.
  • AI-driven analytics improve Faire's product listings and customer satisfaction.
  • DTC brands using Faire diversify revenue and reach broader audiences.

What critics are saying

  • Leadership turnover may cause strategic instability at Faire.
  • Target and Shopify partnership increases competition for Faire.
  • Safety issues like FLIKRFIRE could pose risks for Faire's product offerings.

What makes Faire unique

  • Faire connects independent brands with local retailers, enhancing community uniqueness.
  • Faire offers net 60 payment terms and free returns, reducing wholesale business risks.
  • Faire provides data insights and logistics solutions, optimizing retailer and brand operations.

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Benefits

Time off

Parental leave

Daily mindfulness

Annual learning grant

Thoughtfully designed spaces

Fitness & wellbeing benefits

Mental health benefits

Charitable matching

Career planning