Opportunity at
FaireSenior Applied ML/AI Scientist - Search
Faire is a technology wholesale platform that operates a global marketplace connecting independent retailers with brands using data, machine learning, and modern technology. The company seeks…
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About This Role
Faire is a technology wholesale platform that operates a global marketplace connecting independent retailers with brands using data, machine learning, and modern technology. The company seeks a Senior Applied ML/AI Scientist to join the Search team and shape the technical direction, algorithm strategy, and architecture of its search and discovery features. In this position, you will develop next-generation search ranking algorithms, leverage large language models to analyze multimodal signals, and…
Job Description
Faire is a technology wholesale platform that operates a global marketplace connecting independent retailers with brands using data, machine learning, and modern technology. The company seeks a Senior Applied ML/AI Scientist to join the Search team and shape the technical direction, algorithm strategy, and architecture of its search and discovery features.
In this position, you will develop next-generation search ranking algorithms, leverage large language models to analyze multimodal signals, and build natural-language discovery tools that assist retailers with browsing and evaluation. You will also share best practices in machine learning development and mentor colleagues through code reviews.
This opportunity is ideal for an experienced machine learning professional with a background in e-commerce, search, recommendations, or ads ranking, and a strong preference for executing rapidly from research to production.
Responsibilities
- Build next-generation search ranking algorithms using advanced machine learning to personalize the retailer discovery experience
- Leverage large language models to extract text and visual signals for user and intent profiling
- Collaborate with cross-functional teams to test and refine machine learning models for search ranking
- Design and deploy natural-language search and discovery systems to generate personalized collections and assist users
- Share machine learning development best practices and guide teammates through code reviews and technical advice
Requirements
- Five or more years of industry experience creating large-scale machine learning models that deliver business value
- Experience shipping machine learning solutions to production environments
- At least three years of specific experience in search, recommendation, or ads ranking
- Strong programming abilities in languages such as Python or Java
- Hands-on practice utilizing deep learning frameworks like PyTorch and big data tools like Spark
- Thorough knowledge of machine learning best practices including A/B testing, feature engineering, and model training
- Product-focused mindset with the ability to move quickly from research prototypes to production
Qualifications
- Master’s degree or PhD in Computer Science, Statistics, or a related STEM discipline
- Contributions to open-source machine learning libraries or peer-reviewed AI publications
- Industry experience creating and productizing LLM-based applications within search domains
- Background building search and recommendation systems for e-commerce platforms or two-sided marketplaces
- Experience using AI coding assistants such as Cursor, Claude Code, or Codex
- Familiarity with Kotlin
Core Skills
Benefits
- Competitive pay
- Equity
- Comprehensive benefits package
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Senior Applied ML/AI Scientist position?
The annual base pay range is $211,000 to $290,500, with eligibility for equity and benefits. Actual pay is determined by factors such as skills, experience, market conditions, and primary work location.
What is the remote work or office policy?
The role operates on a hybrid schedule. Employees work from the office three days per week on Tuesdays, Thursdays, and a third flexible day of their choice, with the flexibility to work remotely up to four weeks per year.
What are the core experience requirements for this role?
Candidates must have at least five years of industry experience building large-scale machine learning models and deploying them to production, including a minimum of three years focused on search, recommendations, or ads ranking.
What educational background is required?
Applicants need a Master’s degree or a PhD in Computer Science, Statistics, or a related STEM field.
Are specific office locations stated in the job posting?
The specific office location is not stated, though Faire maintains headquarters in San Francisco and Kitchener-Waterloo, along with global offices in Toronto, London, and New York.
Sample Interview Questions
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