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Posted 15 hours ago
Senior Machine Learning Engineer
NewsBreakSenior Machine Learning Engineer, Recommendation & AI Applications
Requirements
3+ years industry experience in ML or recommendation systems, Strong understanding of ranking, embeddings, and user/item modeling, Proficiency in Python, Java, or Scala, Experience with PyTorch or TensorFlow, Experience with large-scale data and ML systems like Spark
Skills
PythonPyTorchLLM
About the role
Responsibilities
- Design, build, and iterate on high-throughput, low-latency recommendation systems powering core feeds
- Improve retrieval, ranking, and multi-objective optimization to balance engagement and retention
- Own systems from offline training and online inference to A/B experimentation and metric analysis
- Apply LLMs and foundation models to content understanding, user intent modeling, and feature generation
- Contribute to 0–1 AI-powered projects from early exploration to MVP and production
Requirements
- 3+ years of industry experience building machine learning or recommendation systems in production
- Strong understanding of recommendation system fundamentals including ranking, embeddings, and user/item modeling
- Proficiency in Python, Java, or Scala
- Experience with PyTorch or TensorFlow
- Experience working with large-scale data and ML systems such as Spark, distributed training, or real-time inference
Preferred Qualifications
- 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
Benefits
- Health, dental, and vision care (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA, and commuter benefits programs
- Team activity budget
About the Company
Founded in 2015, NewsBreak is a Content Intelligence platform with over 40 million monthly active users, delivering personalized local news powered by advanced AI and recommendation systems.
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NewsBreak · Mountain View
