Senior Applied ML/AI Scientist - Search
- Pay
- $211,000 – $290,500 per year
- Location
- New York City, NY · Hybrid
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Listed
- 31 days ago
Skills & highlights for this role
- dual encoders
- ANN serving
- learning-to-rank
- Python
- A/B testing
Also useful
- LLM-based query understanding
- PhD in CS or Statistics
Stated benefits & perks
- Equity
About the role
Search is how retailers do their jobs on Faire. Wholesale queries and retailer expectations look different from consumer e-commerce and the right product depends on the store's category, price point, and aesthetic. When we get it wrong, it costs real money.
The Search algorithms team owns everything between the click on the search bar and the final ranker: typeahead and empty-state suggestions, query understanding, retrieval across five-plus independent sources, relevance modeling, and result-page surfaces like carousels and refinements. Within our scope, scientists own components outright: when you own query understanding here, you own the models, the roadmap, and the metrics.
You'll work across the full modern search stack: transformer-based embedding retrieval serving live traffic, LLMs powering query understanding and query rewriting, fine-tuned vision-language models scoring relevance, and graph-based retrieval - with generative retrieval and semantic IDs on the horizon.
What you'll do
- Contribute to the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with 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.
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.
Why you'll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
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.
Equal opportunity and legal notices
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
From Faire's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Senior Applied ML/AI Scientist - Search role at Faire, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
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Common questions
What is the salary for the Senior Applied ML/AI Scientist - Search role at Faire?
The Senior Applied ML/AI Scientist - Search posting at Faire states compensation of $211,000 – $290,500 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Faire's official career site.
Where is the Senior Applied ML/AI Scientist - Search job at Faire located?
This Senior Applied ML/AI Scientist - Search position at Faire is located in New York City, NY (Hybrid). Always check Faire's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior Applied ML/AI Scientist - Search at Faire?
For the Senior Applied ML/AI Scientist - Search role, Faire highlights 3+ years of relevant experience; experience with dual encoders, ANN serving, learning-to-rank, Python, A/B testing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior Applied ML/AI Scientist - Search position at Faire?
This listing links directly to Faire's Greenhouse application page. You can apply directly on Faire's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.