Teams at NewsBreak

Build and maintain backend and data pipelines powering ads, personalization, and retention systems. Contribute to recommendation algorithms, feature pipelines, experimentation infrastructure, revenue operations tooling (commission/quota), and observability for large-scale user and engagement data. Collaborate with product, sales, and finance to ship reliable, low-latency production systems and monitoring.

Lead post-training for LLMs (CPT, SFT, RL) focusing on RL methods; design and curate training and reward data; run and debug distributed training on mid-to-large GPU clusters; build evaluation and verifier pipelines; partner with product and business teams to deliver targeted model improvements quickly.

Design and develop machine learning infrastructure, enhancing core components for model training, monitoring, and serving. Collaborate with ML engineers on robust pipelines.