NewsBreak
Senior Machine Learning Engineer, Recommendation & AI Applications
$195K–$230K
Mountain View, California, United States · Senior · Full-time · Posted Aug 7, 2026
- Experience
- 3+ years of industry experience building machine learning or recommendation systems in production.
About the job
Build and improve NewsBreak’s large-scale recommendation systems and apply AI/LLMs to production problems in content discovery and personalization.
What you'll do
- Develop and optimize feed retrieval, ranking, and multi-objective recommendation systems; own work from offline training through online inference and experimentation.
- Apply LLMs and foundation models to recommendation problems, and move validated prototypes into production.
- Contribute to AI-powered projects from early exploration through MVP and production; use AI-assisted development workflows.
What they ask for
- Strong understanding of recommendation fundamentals, including ranking, embeddings, user/item modeling, and experimentation.
- Strong coding skills in Python, Java, or Scala, and experience with PyTorch or TensorFlow.
- Experience with large-scale data and ML systems, such as Spark, distributed training, or real-time inference.
- Ability to own features end-to-end and deliver measurable business impact.
Nice to have
- Production experience applying AI or LLMs to recommendation systems.
- Experience contributing to 0 → 1 AI or ML-driven products; familiarity with AI-assisted development tools and workflows.
Pay
$195,000 — $230,000 USD annual base salary
Tools
Python, Java, Scala, PyTorch, TensorFlow, Spark
AI focus
Apply LLMs and foundation models to recommendation tasks such as content understanding, user intent modeling, and feature generation; contribute to AI-powered products and use AI-assisted development for coding, debugging, analysis, ideation, prototyping, and experiment analysis.
Model-written summary · the original posting is authoritative