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FaireSenior Applied AI/ML Scientist - Compass
Faire operates a global technology wholesale platform that links independent retailers with makers of goods, using technology and data to support the local retail community. The…
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About This Role
Faire operates a global technology wholesale platform that links independent retailers with makers of goods, using technology and data to support the local retail community. The company is seeking a Senior Applied AI/ML Scientist to lead technical and science efforts for Compass, the user-facing artificial intelligence assistant within the Discovery Pillar. This hands-on, individual contributor position requires building features end-to-end, defining data-backed strategies, and enhancing agent quality through modeling and…
Job Description
Faire operates a global technology wholesale platform that links independent retailers with makers of goods, using technology and data to support the local retail community. The company is seeking a Senior Applied AI/ML Scientist to lead technical and science efforts for Compass, the user-facing artificial intelligence assistant within the Discovery Pillar. This hands-on, individual contributor position requires building features end-to-end, defining data-backed strategies, and enhancing agent quality through modeling and evaluation.
This role is well-suited for an autonomous, resourceful technologist experienced in production machine learning and artificial intelligence systems. The person joining this team will shape a product from its early stages, utilizing cross-stack engineering range across backend, data, and frontend components. Responsibilities include designing agent workflows, establishing rigorous evaluation frameworks, and shipping features swiftly. The ideal candidate pairs applied science expertise with pragmatic engineering judgment to create practical solutions for marketplace participants.
Responsibilities
- Determine the technical and science strategy for Compass agentic features, including data usage and evaluation metrics
- Deliver assistant features end-to-end utilizing the FLARE Python application, data pipelines, tool wrappers, and frontend surfaces
- Break down ambiguous goals into organized, risk-mitigated tactical plans
- Establish and elevate standards for experiment-driven development, such as offline evaluation suites and LLM-as-judge metrics
- Make pragmatic architectural choices focused on current delivery while allowing for future evolution
- Collaborate with adjacent engineering teams on architecture and serving considerations while serving as the technical liaison for science
Requirements
- Possess at least 5 years of professional experience developing and deploying production machine learning and artificial intelligence systems with tangible business outcomes
- Demonstrated history of deploying agentic or large language model-powered features within a core production product
- Strong foundation in applied machine learning and data science, including experiment design and evaluation
- Demonstrated ability to ship high-quality code rapidly across multiple technology stacks
- Familiarity with artificial intelligence-native development workflows and coding tools
- Strong architectural maturity with the ability to design simple, maintainable solutions
Qualifications
- Background in e-commerce, marketplaces, or two-sided platform environments
- Experience transitioning read-only assistants into action-taking systems with appropriate guardrails
- Direct experience utilizing the OpenAI Agents SDK or comparable production agentic frameworks
- Familiarity with preload-over-RAG context strategies, Snowflake-backed grounding, or hybrid approaches
- Prior early-stage or zero-to-one product development experience
- Background in recommendation, retrieval, or personalization modeling
Core Skills
Benefits
- Competitive pay
- Equity eligibility
- Comprehensive benefits package
- Access to enterprise artificial intelligence tools
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
The posting specifies that this is a full-time role.
Is remote work permitted for this role?
The role is on-site with a hybrid schedule where employees go into the office three days per week on Tuesdays, Thursdays, and a flex day, with the flexibility to work remotely up to four weeks per year.
What is the salary range for this position?
For US-based hires, the annual base pay range is $211,000 to $290,500, with eligibility for equity and benefits.
Where is the job located?
The source posting does not specify the exact location for this role.
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