Open to opportunities

JunMing Huang

@junminghuang

Senior Machine Learning Engineer specializing in large-scale recommender systems, ads ranking, and LLM-driven personalization.

United States

Message

What I'm looking for

I seek roles building large-scale, real-time ML and recommender systems that combine deep learning, RL, and LLMs, with strong engineering culture, clear KPIs, and opportunities to mentor and influence product.

I am a Senior Machine Learning Engineer with 6+ years building large-scale ML systems at TikTok and Oracle, focused on recommendation, ad ranking, bidding, and generative AI with LLMs. I design and productionize real-time, low-latency platforms that combine deep learning, reinforcement learning, and semantic modeling to drive measurable improvements in watch time, CTR, ROAS, and retention across billions of interactions.

I lead end-to-end ranking and bidding initiatives, implement streaming feature-store pipelines, and ship RL agents and LLM-powered components as containerized services on Kubernetes with Terraform-managed infra. I collaborate with product, infra, and trust & safety teams, mentor engineers, and build robust monitoring, experimentation, and model governance to ensure safe, fair, and high-performing systems at global scale.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

TikTok

Jul 2022 - Present (3 years 7 months)

Led end-to-end hyper-personalized recommendation and RL auto-bidding platform, scoring tens of millions of candidates in real time and improving watch time, CTR, retention, and ROAS via multimodal deep learning and multi-objective RL under single-digit millisecond latency.

Python PyTorch TensorFlow Kafka Spark BigQuery Reinforcement Learning Hugging Face Kubernetes

Data Scientist (ML Engineer Track)

Oracle

Aug 2019 - Jun 2022 (2 years 10 months)

Engineered scalable audience modeling, look-alike targeting, and incrementality measurement pipelines for Oracle's Ads and Audience Platform, automating ROAS/brand-lift reporting and productionizing ML services on Spark and OCI.

Python R Spark Airflow Causal Inference Docker Kubernetes Tableau

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University

Master's degree, Data Analytics

2017 - 2019

Master's degree in Data Analytics completed with coursework and projects focused on applied machine learning, data pipelines, and analytics from 09/2017 to 08/2019.