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Senior Applied ML/AI Scientist - Search

New York City, NY; San Francisco, CA

Open 3 months, first seen by us 99 days ago
Pay
$211,000–290,500/yearLocation-specific pay — pay source
Salary Range US: the pay range for this role is $211,000 to $290,500 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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What you’ll work on

Full posting

As a Senior Applied AI/ML Scientist on the Search team, you will help shape the technical vision, machine-learning algorithm strategy, and system design behind one of our most important growth levers: Search (the primary tool used by customers on any e-commerce site).

You’ll work at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query.

  • Build next-generation search ranking algorithms using deep learning and machine learning

  • Use LLMs to extract text and visual signals for profiling users and their intent

  • Partner with teams across Faire to experiment with and improve search ranking models

  • Design and ship natural-language search and discovery systems for intelligent agents

  • Share best practices in deep learning, agent evaluation and MLOps through code reviews

From the employer’s posting
As a Senior Applied AI/ML Scientist on the Search team, you will help shape the technical vision, machine-learning algorithm strategy, and system design behind one of our most important growth levers: Search (the primary tool used by customers on any e-commerce site). You will advance real-time search and recommendation systems that power next-generation shopping experiences.
You’ll work at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query.
Build our next-generation Search ranking algorithms by integrating the latest advances in deep learning and machine learning
Leverage LLM to extract multimodal signals (text, visual) to better profile users and their intents.
Partner closely with teams across Faire to experiment and improve the ML models for search ranking and beyond.
Design and productionize natural-language search and discovery systems so that intelligent agents can generate relevant and personalized collections
Share best practices regarding deep learning model development, agent-workflow evaluation, and MLOps, and help teammates level up through code reviews and technical guidance.
Education & alternatives
- 5+ years of industry experience building large-scale ML models with business impact and shipping ML solutions to production, including 3+ years in search, recommendation, or ads ranking - A Master’s or PhD in Computer Science, Statistics, or a related STEM field. - Strong programming skills (Python, Java, or equivalent) and hands-on experience with deep-learning libraries (e.g., PyTorch) and big data technologies (e.g., Spark).

About Faire

Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores.

In the employer’s words · Read in context

Apply at Faire

Posting record

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Open 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 2, 202699 days ago
Recorded sightings
69
Last seen by us
Nov 9, 2026
Employer says posted
Jul 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 99

Up longer than most. Similar jobs usually come down between day 7 and day 72.

At Faire, jobs usually come down by about day 70.

From 4,777 similar postings that came down, and 8 of Faire’s. Coming down is not always a hire.

Faire is hiring

19 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Kotlin
  • Python
  • Spark
  • PyTorch
Where the posting names them
- A Master’s or PhD in Computer Science, Statistics, or a related STEM field. - Strong programming skills (Python, Java, or equivalent) and hands-on experience with deep-learning libraries (e.g., PyTorch) and big data technologies (e.g., Spark). - Deep understanding of machine learning best practices (e.g., training/serving, imbalanced data, A/B testing, feature engineering, and feature/model selection) and algorithms (e.g., user modeling, deep learning, and reinforcement learning) with applications in search, recommendation, and advertising domains.
- Experience using AI tools (e.g., Cursor, Claude Code, Codex) for code development and daily productivity. - Familiarity with Kotlin Salary Range

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Has Faire posted this job before?

Yes. We’ve followed 2 other Senior Applied ML/AI Scientist - Search jobs there since July 2026. All 2 are still up.

  1. New YorkStill up after 130 days, first seen Jul 3
  2. Kitchener-WaterlooStill up after 130 days, first seen Jul 3
  3. This jobUp 100 days so far, first seen Aug 2

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 618, the most 1,131, and the latest week had 1,131.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original 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 market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About the role

As a Senior Applied AI/ML Scientist on the Search team, you will help shape the technical vision, machine-learning algorithm strategy, and system design behind one of our most important growth levers: Search (the primary tool used by customers on any e-commerce site). You will advance real-time search and recommendation systems that power next-generation shopping experiences.

You’ll work at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query.

This is a rare chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, while collaborating closely with a talented team of scientists and engineers.

What you'll do

  • Build our next-generation Search ranking algorithms by integrating the latest advances in deep learning and machine learning to personalize the retailer discovery journey at Faire
  • Leverage LLM to extract multimodal signals (text, visual) to better profile users and their intents. 
  • Partner closely with teams across Faire to experiment and improve the ML models for search ranking and beyond.
  • Design and productionize natural-language search and discovery systems so that intelligent agents can generate relevant and personalized collections, explain search results, and assist retailers with browsing, filtering, and evaluation.
  • Share best practices regarding deep learning model development, agent-workflow evaluation, and MLOps, and help teammates level up through code reviews and technical guidance.

You're a great fit if you have

  • 5+ years of industry experience building large-scale ML models with business impact and shipping ML solutions to production, including 3+ years in search, recommendation, or ads ranking
  • A Master’s or PhD in Computer Science, Statistics, or a related STEM field.
  • Strong programming skills (Python, Java, or equivalent) and hands-on experience with deep-learning libraries (e.g., PyTorch) and big data technologies (e.g., Spark).
  • Deep understanding of machine learning best practices (e.g., training/serving, imbalanced data, A/B testing, feature engineering, and feature/model selection) and algorithms (e.g., user modeling, deep learning, and reinforcement learning) with applications in search, recommendation, and advertising domains.
  • A product-focused mindset and a bias toward execution—moving quickly from research papers to prototypes and production.
  • Excellent written and verbal communication skills and strong cross-functional influence that raise the technical bar beyond your immediate team.

Bonus Points

  • Contributions to open-source ML libraries or peer-reviewed publications in ML/AI.
  • Industry experience developing and productizing LLM-based applications and systems in the search domain.
  • Industry experience building search and recommendation systems for e-commerce or two-sided marketplaces.
  • Experience using AI tools (e.g., Cursor, Claude Code, Codex) for code development and daily productivity.
  • Familiarity with Kotlin

Salary Range

US: the pay range for this role is $211,000 to $290,500 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.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you’ll love working at Faire

  • Flexible paid time off, plus company-wide recharge days
  • Paid parental leave up to 16 weeks
  • Comprehensive health coverage, with options varying by location
  • Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance
  • Mental health support and coaching through Modern Health
  • Stipends to support your professional development, wellness, and work from home needs
  • Employer-sponsored retirement plan, dependent on country of employment

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

 

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

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Pay
Salary Range US: the pay range for this role is $211,000 to $290,500 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.
Location & working pattern

New York City, NY; San Francisco, CA

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. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire
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