Staff Applied AI/ML Scientist

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate. We need to parse the posting. First part: "About Faire" description - that's company overview, not needed? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include if posting has real specific content. Let's extract content. The posting includes: - About This Role: description of role, vision, etc. That could be "About the role". So we can put that under

About the role

with paragraphs. - What You’ll Do: list of duties. That's responsibilities. So

Responsibilities

with

• items. - Qualifications: list of qualifications. That's qualifications. Also there is "Great To Haves" which could be skills? Actually "Great To Haves" are preferred qualifications. Could be under Skills or Qualifications? The instruction: sections include Qualifications and Skills. We can put required qualifications under Qualifications, and preferred under Skills? Or we could combine. But we need to follow instruction: Use sections only when posting has real specific content. We have qualifications (required) and great to haves (preferred). Could treat Qualifications as required, Skills as preferred (or great to haves). Let's do that. - Salary Range: pay info. So

  Pay

  with paragraph. - Hybrid schedule info: schedule. So

  Schedule

  with paragraph. - Benefits: The posting mentions "This role will also be eligible for equity and benefits." and later "Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work." Also earlier: "Actual base pay will be determined based on permissible factors...". There's also "We invest in what matters, including the latest enterprise AI tools". But benefits specifics not detailed. However we have mention of equity and benefits, and "competitive pay, equity, and comprehensive benefits". That's enough to create Benefits section? The instruction: only create Benefits section if posting actually states them. It does mention benefits (equity and benefits). So we can include Benefits section with a paragraph summarizing that they offer equity and comprehensive benefits. - Skills: Could be derived from "Great To Haves": Master's or PhD, experience as tech lead manager, previous experience in marketplace growth, incentive optimization, trust and quality, deep learning or language models. Also maybe "Strong programming skills" etc. But those are already in qualifications. However we can still have Skills section for preferred qualifications. We need to avoid filler like "commensurate with experience". Not present. We must not include boilerplate like EEO, privacy, etc. We must not repeat job title. We must not include navigation etc. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep the details as close as possible. Let's extract each piece. About the role: The paragraph under "About This Role": "Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions for recommender systems, spend optimization, lifetime value (LTV) predictions, and much more. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As an Applied AI/ML Scientist tech lead, you will own vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. Because our users are businesses, there is a wealth of information about them that ML models can use to personalize their experience, grow their success, and keep the marketplace high quality and trustworthy. You will work across structured and unstructured data using methods that range from personalization and recommendations to causal inference, lifetime-value modeling, information extraction, and LLMs. You will act as a lead across multiple cross-functional workstreams and mentor or manage other scientists on the team. Our team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for Applied AI/ML Scientists, and you will help take us there!" We can keep that as paragraphs. Responsibilities: The bullet list under "What You’ll Do". Let's extract each line: - Drive data science vision, strategy, and execution end-to-end, and act as a pod lead across cross-functional workstreams. - Develop personalized recommendation, retrieval, and ranking models, and build content and retailer-level embeddings to power better discovery and exploration experiences. - Optimize marketing, acquisition, and incentive spend through targeting and personalization, and use experimentation and causal inference to measure the effectiveness of spend levers. - Predict lifetime value to prioritize sales and acquisition effort and to personalize the new-user experience, even in a user's first session. - Improve cold-start recommendations and exploration so that new users and new selection find the right audience quickly. - Extract insights from internal and external data (e.g. reviews, search behavior, referrals, and third-party sources) to enrich leads and power personalization. - Use deep learning, multi-modal LLMs, and human-in-the-loop training to understand listings and content, extract structured attributes, and detect issues with high accuracy. - Build detection, enforcement, and quality systems that reduce bad experiences in the marketplace (e.g. counterfeits, policy violations, poor service quality), using levers such as downranking and human-in-the-loop targeting. - Re-engage users through personalized marketing and identify gaps and opportunities that drive increased engagement. - Mentor or manage Senior Applied AI/ML Scientists and Analytics Engineers. - Solve challenging problems related to a two-sided marketplace. We'll put each as
• . Qualifications: Required qualifications list: - 5+ years of industry experience using machine learning to solve real-world problems. - Experience with relevant business problems (e-commerce, marketplaces, growth, personalization, incentives, or trust and quality). - Experience with relevant technical methods (causal inference, predictive/LTV modeling, recommendations, information extraction, entity resolution, and/or deep learning and LLMs). - Strong programming skills. - An excitement and willingness to learn new tools and techniques. - Experience as a tech lead, mentoring other scientists or machine learning engineers, and the ability to set team strategy and lead model development without supervision. - Strong communication skills and the ability to work in a highly cross-functional team. We'll put as
  . Skills (Great To Haves): - Highly recommended: Master's or PhD in Computer Science, Statistics, or related STEM fields. - Experience as a tech lead manager or people manager of applied ML / data science teams. - Previous experience in marketplace growth, incentive optimization, or trust and quality for a two-sided platform. - Previous experience with deep learning or language models. We could also include "Strong programming skills" but that's already in qualifications. We'll keep as above. Pay: Salary Range paragraph: "San Francisco: the pay range for this role is $246,500 to $339,000 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." We'll put that. Benefits: The posting mentions equity and benefits, and later "Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work." Also "We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day." That's more about tools. But we can summarize benefits as equity and comprehensive benefits (health, etc). Since not detailed, we can just mention that they offer equity and comprehensive benefits. But we must not invent detail beyond what's stated. The statement: "This role will also be eligible for equity and benefits." and later "Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work." So we can say: "Eligible for equity and comprehensive benefits." That's fine. Schedule: Hybrid info: "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." We'll put that. Now we need to output only HTML fragment, no /, no markdown fences. We'll produce:

  About the role

  ... paragraphs ...

  Responsibilities

  • ...
  ...

  Qualifications

  ...

  Skills

  ...

  Benefits

  ...

  Pay

  ...

  Schedule

  ...

  Make sure not to include empty sections. Check for any repeated content: The "About Faire" company overview at start is not needed per sections; we can omit because not under any heading. The instruction says use headings for sections; we can omit company overview if not under a heading. It's not required to include all text; we must preserve ALL substantive information; but we can omit company overview? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." That suggests we should keep all substantive info from the posting. However the sections we output are limited to those headings; but we could include company overview as a paragraph before any heading? The instruction says use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other content outside headings. It says "Use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't say we cannot have other headings or paragraphs. But we should follow the pattern: likely they expect only those headings. However preserving all substantive information might require including the company overview somewhere. Could we put it under a generic

  before any heading? The instruction didn't forbid that. It said use

  for section headings (list). It didn't say you cannot have other elements. So we could include a

  with the company overview before the first heading. That would preserve it. But the instruction also says: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

  or drop it." So we can include other paragraphs. Thus we can output:

  About Faire ...

  Then headings. Let's extract About Faire paragraph: The first paragraph: "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