NewsBreak
Software Engineer, ML Infra (Junior & New Grad)
About this role
NewsBreak is seeking a junior or new-grad ML Infrastructure Engineer to build and maintain the backbone systems that power model training, serving, and monitoring for their Ads and Recommendations products. You'll own end-to-end infrastructure improvements, working closely with ML and product teams to reduce latency, improve reliability, and accelerate the path from research to production.
What you'll do
- Design and develop machine learning infrastructure systems for training, serving, and monitoring
- Own and enhance core ML pipeline components including offline/online training, feature authoring, and feature serving
- Proactively identify and resolve ML infrastructure issues impacting production systems
- Collaborate with ML engineers to build robust model pipelines and improve developer experience
- Optimize ML workflows for performance, cost, and reliability across the full model lifecycle
What they're looking for
- Python programming
- Object-oriented languages (C++ or Java)
- Deep learning frameworks (PyTorch, TensorFlow)
- Software development practices (version control, documentation)
- Cloud platforms (AWS, GCP, or Azure)
- Machine learning fundamentals and applied ML experience
- System design and infrastructure thinking
- Problem-solving and debugging skills
Benefits
- High ownership and autonomy over infrastructure projects
- Direct production impact with a small, high-performing team
- Clear growth path with visibility across the ML stack
- Great Place to Work certified company culture
- Discretionary bonus and equity options eligible
- Work on systems powering 40+ million monthly active users
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NewsBreak
NewsBreak operates a news and local marketplace platform serving 40M+ monthly active users, leveraging machine learning and data infrastructure to power recommendations, advertising, and matching between consumers and businesses. The company is hiring software engineers, ML engineers, and data specialists to build and optimize backend systems, ML infrastructure, recommendation engines, and algorithms that drive user engagement and monetization.
- Website
- newsbreak.com
Likely interview questions
- Describe your experience with machine learning frameworks like PyTorch or TensorFlow and how you've used them in a project
- Walk us through a time you optimized a system for performance or cost—what was your approach and outcome?