Poshmark
Staff Applied AI Scientist
US California (Redwood City) - Office · Staff+
Sponsorship not specifiedDetected 13 days ago
PythonScalaAlgorithmsSQLMachine LearningDeep LearningPyTorchSparkData ScienceNLPComputer VisionLLMsRAGStatisticsA/B TestingProblem Solving
About the role
- ABOUT POSHMARK Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
- As an Applied AI Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience.
Responsibilities
- Collaborate cross-functionally with ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.
- Develop scalable solutions for key areas of product, marketing, operations, and community functions.
- Develop comprehensive understanding of Poshmark's data platform and key datasets.
- Successfully prototype/enhance models aimed at improving key business metrics, contributing to data-driven solutions that support company objectives
- Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science.
Requirements
- 5-8 years of experience building scalable data science solutions in a big data environment.
Nice to have
- Experience with personalization algorithms, recommendation systems, or user behavior modeling.
- Familiarity with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) or Parameter-Efficient Fine-Tuning (PEFT).
Skills
- Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.
Benefits
- Lead end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, computer vision and GenAI.
- Demonstrated proficiency in Poshmark's machine learning systems by applying advanced algorithms to address a business use case.
- Collaborated with ML engineers and other data scientists to establish best practices for managing and maintaining machine learning models in production, enhancing system reliability.
- Mentor junior scientists/engineers, fostering a culture of continuous learning and development within the team.
- Hands-on experience with key machine learning algorithms, including CNNs, Transformers, and Vision Transformers.
- Proficiency in Python, SQL, and Spark (Scala or PySpark), with experience in deep learning frameworks such as PyTorch or TensorFlow.
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This listing is sourced directly from Poshmark's careers page and normalized into a canonical job model.