Faire
Senior Applied AI/ML Scientist - Compass
New York City, NY; San Francisco, CA · Senior
Sponsorship not specified$196k-$270kDetected 1 day ago
PythonFull-Stack DevelopmentSnowflakeMachine LearningData ScienceLLMsRAGAgentic AIMLOpsA/B Testing
About the role
- Compass helps retailers make smarter buying decisions by combining Faire's rich proprietary data with agentic AI and web search, and is increasingly able to take action on retailers' behalf.
- This is a deeply hands-on individual contributor role: no direct reports, keyboard first.
- You will set the data-grounded direction for how the assistant works, while also being a full-stack (AI, ML, backend) builder who turns ideas into shipped product fast.
Responsibilities
- Translate ambiguous product bets into sequenced, de-risked tactical plans - what to build now, what to defer, and which bets carry the highest impact × probability-of-success.
- Make pragmatic engineering choices: simple enough to ship now, designed to evolve - not over-engineered for imagined future scale, but not throwaway either.
- Partner closely with engineers on architecture and serving tradeoffs, and act as the science/technical interface to adjacent teams (Search, Personalization, Platform/FLARE).
- Raise the team's collective judgment through prototypes, analyses, design reviews, and pairing.
- 5+ years of industry experience building and shipping production ML/AI systems with measurable business impact - including hands-on ownership of the applied-science side (data, evaluation, modeling, quality), not just system plumbing.
- Has shipped agentic / LLM-powered features in a core production product - with a deep, opinionated grasp of agent design tradeoffs: eval strategy, latency/cost/quality tension, tool-calling vs. context preload, guardrails, and failure containment.
- Strong applied ML / data science foundation - reasons from data, designs experiments and evals, and has turned proprietary or structured data into product capability.
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Architectural maturity - can explain design choices that work simply today but won't need to be thrown away when requirements grow.
Requirements
- Hands-on experience with the OpenAI Agents SDK or similar agentic frameworks in production.
- You're a great fit if you have…
Nice to have
- Track record of shipping fast across multiple stacks (backend, data, and ideally frontend) with quality - not a single-layer specialist
- demonstrates cross-stack range.
Skills
- Faire is a technology wholesale platform built on the belief that the future is local.
- Best in
Compensation
- US: the pay range for this role is $196,000 to $269,500 per year.
- 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.
- Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Benefits
- This role will also be eligible for equity and benefits.
This listing is sourced directly from Faire's careers page and normalized into a canonical job model.