Senior/Staff Applied AI Researcher, Growth
Sign up free to see how well your resume matches this role.
What you'll do
- Serve as an architect and technical owner of Quince's end-to-end multi-agent event streams and automated systems driving brand category scaling.
- Collaborate with the existing team of DS, DA and ML researchers to bring the vision to life.
- Write clean, highly scalable service-layer code to maximize Large Language Models (such as Claude) and advanced prompt validation tools for real-time operational execution.
- Design and scale custom automated content loops and multi-modal asset pipelines that autonomously synthesize high-quality marketing copy, graphics, and video layouts.
- Build and refine autonomous decisioning pipelines that integrate with data matrices to dynamically model and optimize real-time asset deployment across platform networks.
- Establish rigorous confidence limits, prompt versioning protocols, and automated fallback/rollback frameworks to handle complex LLM failure modes safely under heavy web scale.
- Partner closely with Product Management, Data Science, and Engineering squads to define unified catalog schemas and eliminate cross-platform ingestion and data latency bottlenecks.
- Improve ads delivery efficiency by 20% in the first 6 months, while scaling volume.
What they're looking for
- 8+ years of technical experience, including at least 1–2 years of corporate or industry experience.
- Expert-level command of Python and SQL, with demonstrated mastery of advanced LLM integration frameworks and data serialization patterns.
- Experience operating independently to untangle loose, ambiguously defined algorithmic or statistical optimization problems without relying on pre-existing abstraction layers.
- Demonstrated impact shipping real-world software and observing data-driven revenue and operational outcomes.
Nice to have
- Experience building custom developer velocity extensions or generative asset platforms within direct-to-consumer (DTC), retail, or e-commerce environments.
- Deep familiarity with advertising networks, performance marketing data structures, programmatic bidding models, or real-time event-driven architectures.
- An advanced degree (Masters or PhD) in computer science, mathematics, statistics, physics or a highly quantitative field.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
ABOUT QUINCE
Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast.
What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver.
OUR CULTURE
Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way – at a speed and scale unlike anything that’s been done before.
- We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA. Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place.
- Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths.
- Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory.
If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.
THE ROLE
Senior/Staff Applied AI Researcher, Growth
We are seeking a Senior/Staff Applied AI Researcher, Growth to serve as an architect of Quince’s end-to-end agentic infrastructure for marketing execution and user growth. In this high impact individual contributor role, you will transition the company away from manual optimization loops by designing a software layer that autonomously handles creative asset generation, event-driven multi-agent workflows, and cross-platform campaign management and optimization. With 0-to-1 autonomy to deploy the frontier of LLMs and multi-agent frameworks into production financial and operational workflows, your work will directly impact the top and bottom lines of Quince as we continue to rapidly scale efficiently.
Responsibilities
- Serve as an architect and technical owner of Quince's end-to-end multi-agent event streams and automated systems driving brand category scaling.
- Collaborate with the existing team of DS, DA and ML researchers to bring the vision to life.
- Write clean, highly scalable service-layer code to maximize Large Language Models (such as Claude) and advanced prompt validation tools for real-time operational execution.
- Design and scale custom automated content loops and multi-modal asset pipelines that autonomously synthesize high-quality marketing copy, graphics, and video layouts.
- Build and refine autonomous decisioning pipelines that integrate with data matrices to dynamically model and optimize real-time asset deployment across platform networks.
- Establish rigorous confidence limits, prompt versioning protocols, and automated fallback/rollback frameworks to handle complex LLM failure modes safely under heavy web scale.
- Partner closely with Product Management, Data Science, and Engineering squads to define unified catalog schemas and eliminate cross-platform ingestion and data latency bottlenecks.
- Improve ads delivery efficiency by 20% in the first 6 months, while scaling volume.
Qualifications
Required:
- 8+ years of technical experience, including at least 1–2 years of corporate or industry experience.
- Expert-level command of Python and SQL, with demonstrated mastery of advanced LLM integration frameworks and data serialization patterns.
- Experience operating independently to untangle loose, ambiguously defined algorithmic or statistical optimization problems without relying on pre-existing abstraction layers.
- Demonstrated impact shipping real-world software and observing data-driven revenue and operational outcomes.
Preferred:
- Experience building custom developer velocity extensions or generative asset platforms within direct-to-consumer (DTC), retail, or e-commerce environments.
- Deep familiarity with advertising networks, performance marketing data structures, programmatic bidding models, or real-time event-driven architectures.
- An advanced degree (Masters or PhD) in computer science, mathematics, statistics, physics or a highly quantitative field.
All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.
WHY QUINCE?
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
EQUAL OPPORTUNITY & HIRING INTEGRITY
Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
Security Advisory: Beware of Frauds
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.