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# Engineer, Machine Learning

- **Company:** Poshmark, Inc.
- **Location:** Redwood City, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon S3, Artificial Neural Networks, Big Data, Python (Programming Language), Logistic Regression, Machine Learning, RabbitMQ, Azure Machine Learning, SQL Databases, Data Streaming, Systems Architecture, Flask (Web Framework), Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Electronic Medical Records, Fastapi, Information Technology, Xgboost, Machine Learning Operations, Data Pipelines
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/45642d45-1cf8-4b5e-ad2f-e3db9790f726

## About the Role

* 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

## Description

* 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


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