ML Engineer II — Production ML Platforms & Tools

Poshmark; Redwood City (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Poshmark is seeking an experienced machine learning engineer to take models from development to production, collaborating with data scientists and other engineering teams. You will build tools and platforms to automate ML workflows in a fast-paced fashion, ensuring scalable and reliable deployments that power search, recommendations, and fraud detection.

You will work with Flask, Docker, Kubernetes, and cloud services, writing backend APIs and maintaining data pipelines.

Qualifications

• Experience building data-intensive applications.
• Understanding of ML lifecycle and deployment.
• Experience with backend APIs and microservices.

Responsibilities

• Build tools and infrastructure to democratize ML.
• Productionizing ML models in collaboration with the Data Science and other Engineering teams.
• Maintain and support existing platforms and evolve to newer technology stacks and architectures.

Skills

Software engineering

Data science concepts

ML lifecycle

Backend API design

Adaptability

Tools

Flask

Docker

Kubernetes

Redis

Redshift

MongoDB

Kafka

RabbitMQ

Kinesis

scikit-learn

PyTorch

TensorFlow

Spark

MLflow

Sagemaker

Kibana

Airflow

Job description

Poshmark is seeking an experienced machine learning engineer to take models from development to production, collaborating with data scientists and other engineering teams. You will build tools and platforms to automate ML workflows in a fast-paced fashion, ensuring scalable and reliable deployments that power search, recommendations, and fraud detection.

You will work with Flask, Docker, Kubernetes, and cloud services, writing backend APIs and maintaining data pipelines.