Staff Applied AI Scientist

Poshmark
US California
On-site

Who this role is best for

Aimed at senior data scientists with expertise in deep learning and big data environments who thrive in collaborative, cross-functional settings in the fashion tech industry.

Best fit for

  • Senior AI scientists with hands-on experience in deploying deep learning models at scale.
    — “5–8 years of experience building scalable data science solutions in a big data environment.
  • Candidates skilled in both traditional machine learning and cutting-edge AI technologies like LLMs.
    — “Hands-on experience with key machine learning algorithms, including CNNs, Transformers, and Vision Transformers.
  • Professionals who excel in translating complex technical concepts for diverse audiences.
    — “Strong problem-solving skills and the ability to communicate complex technical ideas effectively to diverse audiences.

Things to consider

  • Expect to lead projects from ideation to deployment within the first year.
    — “Lead end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact.
  • Mentorship responsibilities will emerge as part of the role within 12 months.
    — “Mentor junior scientists/engineers, fostering a culture of continuous learning and development within the team.

How to stand out

  • Highlight specific instances where you improved business metrics through AI solutions.
    — “Successfully prototype/enhance models aimed at improving key business metrics.
  • Demonstrate cross-functional collaboration experience with engineers and product managers.
    — “Collaborate cross-functionally with ML engineers, product managers, and business stakeholders.
  • Showcase expertise in both traditional and emerging AI methodologies.
    — “Explore and experiment with emerging AI trends, technologies, and methodologies.
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop comprehensive understanding of Poshmark's data platform
  • Gained insights into data scale and noise
  • Developed models for key business metrics
Typical background
5–8 years of experience in data scienceHands-on experience with deep learning frameworks

Skills & requirements

Required

Machine LearningDeep LearningComputer VisionAI Algorithms

Preferred

Personalization AlgorithmsRecommendation SystemsUser Behavior Modeling

Stack & domain

AIMachine LearningDeep LearningComputer VisionGenaiPythonSQLSparkPyTorchTensorFlowLeadershipCommunicationProblem-solvingTeamworkData Science

About the role

Original posting from Poshmark via Ashby

ABOUT POSHMARK

Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.

💡ABOUT THE TEAM

At Poshmark, we're passionate about harnessing the power of data to drive business impact. As an Applied AI Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience. With over 130 million users generating billions of daily events, you'll be at the forefront of data science innovation, developing AI solutions that enhance our platform and delight our community.

🎯 ABOUT THE ROLE

  • 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.
  • 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.
  • Own the entire ML development lifecycle: data exploration, model development, deployment, and performance optimization.
  • Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

6-Month Accomplishments:

  • Develop comprehensive understanding of Poshmark's data platform and key datasets.
  • Gained insights into challenges related to data scale and noise, implementing strategies to effectively leverage data in decision-making processes.
  • Demonstrated proficiency in Poshmark's machine learning systems by applying advanced algorithms to address a business use case.
  • Successfully prototype/enhance models aimed at improving key business metrics, contributing to data-driven solutions that support company objectives

12+ MONTH ACCOMPLISHMENTS:

  • Collaborated with ML engineers and other data scientists to establish best practices for managing and maintaining machine learning models in production, enhancing system reliability.
  • Successfully led the development and deployment of model for resolving business use case(s), contributing to overall company growth and success
  • Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science.
  • Mentor junior scientists/engineers, fostering a culture of continuous learning and development within the team.

💪 WHAT YOU’LL BRING

  • 5–8 years of experience building scalable data science solutions in a big data environment.
  • 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.
  • Solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts.
  • Strong problem-solving skills and the ability to communicate complex technical ideas effectively to diverse audiences, including executives and engineers.

PREFERRED QUALIFICATIONS:

  • 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).

Source: Poshmark careers (Ashby)

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