Machine Learning Engineer

New

ZillowReal Estate Tech

U.S. employees may live in any of the 50 United States, with limited exceptions.Full-TimeMiddle

SalaryIn addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.

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Job Details

Experience: 1-3 years professional experience
Required Skills: AWSPythonGCPKubernetesPyTorchTypeScriptGoTensorflowComputer Vision

Requirements

1-3 years professional experience building and shipping machine learning models or ML-powered systems in production.
Strong hands-on proficiency in Python.
Experience with at least one modern machine learning framework, such as PyTorch, JAX, or TensorFlow.
Hands-on experience with cloud platforms (AWS, GCP).
Experience with container orchestration using Kubernetes.
Experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems).
Experience using backend code languages such as TypeScript or Go.
Strong foundation in machine learning fundamentals (representation learning, structured prediction, computer vision, optimization, failure analysis).
Strong engineering judgment and ability to communicate technical ideas clearly.

Responsibilities

Own the transition from research code to production-ready and optimized models.
Establish CI/CD pipelines that allow scientists to deploy models in short iteration cycles.
Innovate upon existing monitoring systems to ensure service reliability.
Design services to expose ML models to end customers.
Lead and support data engineering projects and prepare datasets for model training.
Collaborate with applied scientists on large-scale training and data processing projects.
Stay current with cutting-edge research and adapt methods for internal use cases.
Establish best practices for code quality, testing, and system reliability.

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