ML Engineer II: Build & Deploy Scalable ML Platforms

Poshmark, Inc.; Redwood City, Northern (CA, KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Poshmark, Inc. is seeking an experienced machine learning engineer to advance ML models into production within our ML Engineering team. You will collaborate with Data Science and Engineering to deploy scalable ML systems, build tools, and evolve platforms using modern stacks.

Ideal candidates bring 2-3 years in software engineering with data-intensive apps, a solid grasp of ML lifecycle, Spark, SQL, and backend APIs. Proficiency with Flask, Docker, Kubernetes, and related tools is highly valued.

Qualifications

• 2-3 years of relevant software engineering experience with data intensive applications.
• Good understanding of data science concepts and machine learning lifecycle.
• Good understanding of spark and sql and prior experience with writing backend apis

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

Data-intensive apps

ML lifecycle

Spark

SQL

Backend APIs

Software engineering

Tools

Flask

Docker

Kubernetes

Redis

Redshift

MongoDB

Kafka

RabbitMQ

Kinesis

scikit-learn

PyTorch

TensorFlow

MLflow

SageMaker

Job description

Poshmark, Inc. is seeking an experienced machine learning engineer to advance ML models into production within our ML Engineering team. You will collaborate with Data Science and Engineering to deploy scalable ML systems, build tools, and evolve platforms using modern stacks.

Ideal candidates bring 2-3 years in software engineering with data-intensive apps, a solid grasp of ML lifecycle, Spark, SQL, and backend APIs. Proficiency with Flask, Docker, Kubernetes, and related tools is highly valued.