Machine Learning Infra Engineer - Build Stable ML Systems

NewsBreak; Mountain View (CA); On-site; USD 125,000 - 175,000; Full time

Job summary

NewsBreak in Mountain View, CA, is hiring a Machine Learning Infrastructure Engineer to build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products.

You’ll join a small, high-ownership team that ships platform improvements end-to-end—partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant work experience; or a Master’s/PhD in a related discipline.
• Familiarity with software development processes, including version control, bug tracking, and design documentation.
• Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
• Basic knowledge of Applied Machine Learning and experience with major Deep Learning frameworks, such as PyTorch and TensorFlow.

Responsibilities

• Design and develop machine learning infrastructure.
• Own and enhance core components of the ML infrastructure, including systems for offline and online model training, model pipeline health monitoring, model serving, feature authoring, and feature serving.
• Proactively address ML infrastructure issues that may impact production.
• Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.

Skills

Python

C++

Java

Applied ML

Education

Bachelor's degree in CS/Engineering

Tools

PyTorch

TensorFlow

Job description

NewsBreak in Mountain View, CA, is hiring a Machine Learning Infrastructure Engineer to build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products.

You’ll join a small, high-ownership team that ships platform improvements end-to-end—partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model.