Senior ML Engineer — Large-Scale Recommendations & AI Apps

NewsBreak

United States

On-site

USD 195,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Health, dental, and vision coverage
401(k) with company match
Paid time off and holidays
FSA/HSA and commuter benefits
Team activity budget

Job summary

NewsBreak is seeking a Senior Machine Learning Engineer to advance our large-scale recommendation systems and apply AI/LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, with ownership from research to production.

Your work will span offline training to online inference, model evaluation, and experimentation, including AI-assisted development and 0→1 innovation projects.

Qualifications

  • 3+ years of industry experience building machine learning or recommendation systems in production.
  • Strong understanding of recommendation system fundamentals (ranking, embeddings, user/item modeling, experimentation).
  • Strong coding skills with Python / Java / Scala, and experience with PyTorch or TensorFlow.
  • Experience working with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference).
  • Ability to own features end-to-end and deliver measurable business impact.

Responsibilities

  • Design, build, and iterate high-throughput, low-latency recommendation systems powering NewsBreak’s core feeds.
  • Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics.
  • Own systems from offline training → online inference → A/B experimentation → metric analysis.
  • Identify and resolve issues related to data quality, model drift, and system performance in production.
  • Apply LLMs and foundation models to recommendation-related problems such as content understanding and feature generation.

Skills

Machine learning in production
Recommendation systems
Python/Java/Scala
PyTorch/TensorFlow
Large-scale data & ML systems
End-to-end ownership

Tools

Spark
Distributed training
Real-time inference
PyTorch
TensorFlow

Job description

NewsBreak is seeking a Senior Machine Learning Engineer to advance our large-scale recommendation systems and apply AI/LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, with ownership from research to production.

Your work will span offline training to online inference, model evaluation, and experimentation, including AI-assisted development and 0→1 innovation projects.

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