Poshmark
Poshmark

60 Poshmark Data Jobs Hiring Near You

The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers.

Senior Growth Product Manager

Redwood City, CA · On-site

$154K - $204K/yr

Poshmark is seeking a Senior Growth Product Manager to drive high-impact, data-informed growth across the marketplace. This role will initially focus on new user onboarding and early lifecycle ...

... Poshmark ecosystem. This role will leverage internal and external risk platforms, data tools, and orchestration capabilities to rapidly design, test, deploy, and optimize risk strategies across the ...

Software Engineer II, iOS

Redwood City, CA · On-site

$171K/yr

Poshmark is the leading fashion marketplace where style comes alive through discovery, self ... as data structures, algorithms, and software design. • Experience using Git or other version ...

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

The Machine Learning team is central to Poshmark's mission to build a world-class machine learning platform that brings value out of data for both the company and its customers. Responsibilities ...

Director of Product Design

Redwood City, CA · On-site

$189K - $233K/yr

About Poshmark Poshmark is the leading fashion marketplace where style comes alive through ... Good familiarity with experimentation, growth design, and data-informed decision-making Leadership ...

Director, Posh Live

Redwood City, CA · On-site

$180 - $250/hr

About Poshmark Poshmark is the leading fashion marketplace where style comes alive through ... You will lead a broader cross‑functional group spanning Product, Engineering, Marketing, and Data ...

... Poshmark ecosystem. This role will leverage internal and external risk platforms, data tools, and orchestration capabilities to rapidly design, test, deploy, and optimize risk strategies across the ...

Poshmark is seeking a Senior Growth Product Manager to drive high-impact, data-informed growth across the marketplace. This role will initially focus on new user onboarding and early lifecycle ...

Copywriter

Redwood City, CA · On-site

$98K - $145K/yr

... data. * Iterate quickly based on testing results and business objectives. Brand Voice Stewardship * Help define, evolve, and maintain Poshmark's brand voice and tone guidelines. * Serve as a resource ...

About Poshmark Poshmark is the leading fashion marketplace where style comes alive through ... You will lead a broader cross-functional group spanning Product, Engineering, Marketing, and Data ...

About Poshmark Poshmark is the leading fashion marketplace where style comes alive through ... Good familiarity with experimentation, growth design, and data-informed decision-making Leadership ...

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    Infographic showing various Data job openings at Poshmark in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

    Sr. Engineer, Machine Learning

    Poshmark

    Redwood City, CA • On-site

    $120 - $150/hr

    Other

    Re-posted 10 days ago


    Job description

    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.

    The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).

    Responsibilities:
    • Manage the entire ML lifecycle from data collection to deployment and monitoring

    • Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models

    • Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale

    • Manage and support current solutions while evolving them to incorporate newer technologies

    • Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner

    • Stay updated with the latest developments in data science and machine learning

    Desired Skills & Experience:
    • 4+ years of experience applying Machine Learning to concrete problems at large scale

    • Bachelors or Masters in Computer Science, Statistics, or related field

    • Strong CS fundamentals. Should be able to write algorithms with ease.

    • Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models.

    • Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.

    • Should have excellent understanding of ML lifecycle

    • Good understanding of system architecture. Have knowledge of big data technologies – streaming architecture, data pipelines, etc.

    • Experience with Python, SQL, Java or Scala

    Good to Have:
    • Big data systems – Spark, EMR, S3, AirFlow

    • Production experience with LLMs and prompt engineering

    • Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs

    Our Techstack:
    • Pytorch, Tensorflow, Sklearn

    • Flask, Fastapi, Gunicorn, Quarkus

    • MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog

    • Docker, Kubernetes, Jenkins

    • Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus

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