Senior Applied Artificial Intelligence/Machine Learning Scientist, Faire
Fulfillment
$196-269.5k
This role will also be eligible for 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
$196-269.5k
This role will also be eligible for 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
- An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc
- Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning)
- Strong programming skills (Python, Java, Kotlin, C++)
- Knowledge of statistical techniques such as experimentation and causal inference
- SQL or other database querying experience preferred
- An excitement and willingness to learn new tools and techniques
What the job involves
- Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores
- Our highly skilled team of Applied AI/ML Scientist and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions
- Our ultimate goal is to empower local retail businesses with the tools they need to succeed
- At Faire, the Data team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace
- We are dedicated to building machine learning models that help our customers thrive
- As an Applied AI/ML Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits
- You'll also contribute to growing Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value
- You'll collaborate closely with other Applied AI/ML Scientist, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data
- Our team already includes experienced Applied AI/ML Scientist and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest
- Faire will soon be known as a top destination for Applied AI/ML Scientist and machine learning, and you will help take us there!
- Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable
- Fulfillment: Fulfillment has the potential to improve wholesale buying for both retailers and brands by an order of magnitude. This role involves building ML models to forecast demand for the SKUs we should stock in our warehouses, and applying predictive models to optimize shipping logistics—improving reliability while reducing costs
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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