Trách nhiệm chính

• Iterate on ML models across the full pipeline — retrieval, ranking, engagement and conversion prediction. Explore new architectures (transformers, deep interaction networks, knowledge distillation), design better features, and tackle challenges like multi‑task prediction, calibration, and cold‑start for new campaigns.
• Ensure data quality across the ML lifecycle — validate labels, detect pipeline anomalies, understand sampling biases, and maintain data integrity.
• Build observability that helps the team understand model behavior — prediction distribution, segment‑level performance, and performance changes over time.
• Monitor data drift, training‑serving skew, and prediction quality. Close the feedback loop between model predictions and real business outcomes.
• Conduct exploratory data analysis on training data, features, and model outputs to uncover patterns, anomalies, and improvement opportunities.
• Leverage the existing A/B testing infrastructure to evaluate model changes — design experiments, analyze results, and make informed deployment decisions.
• Define what to explore next, what data signals to acquire, and what improvements have the highest impact. Stay current with relevant advances in recommendation systems and deep learning.
• Collaborate with Backend / ML Ops, Data Engineering, Product, and Leadership to align technical direction and business objectives.

Yêu cầu

• Deep learning fundamentals + PyTorch (or equivalent). Experience with architectures used in recommendation/ranking (deep interaction networks, two‑tower, attention/transformer‑based).
• Hands‑on experience building recommendation or ranking models in production. Understanding of retrieval ranking design.
• Feature engineering — embeddings, historical aggregation, cross‑feature interactions.
• A/B testing for ML models — experiment design, statistical rigor, online/offline metric alignment.
• Experience building ML observability and monitoring in production.
• Python, SQL, data processing at scale (Spark). ML pipeline orchestration (Airflow or equivalent).
• Clear communication — able to explain model behavior and trade‑offs to engineering, product, and business stakeholders.

Yêu cầu ưu tiên

• Experience in ad tech, e‑commerce, marketplace, or any large‑scale item selection/ranking domain.
• Auction/bidding mechanisms, prediction calibration, delivery optimization, or explore/exploit strategies (bandit algorithms, cold start).
• Model serving optimization, embedding‑based retrieval, or vector databases.
• Columnar/OLAP databases (ClickHouse, BigQuery). AI/LLM tools for productivity.

Mức lương

• Thỏa thuận

Thông tin khác

• Level: Lead (5+ years of relevant experience).
• Working style: High ownership — drives improvements end‑to‑end; Experiment‑driven — benchmarks before committing, iterates based on evidence; Hands‑on — reads code, debugs pipelines, digs into data.
• Location: Hồ Chí Minh.
• Employment type: Full‑time.
• Salary: Thỏa thuận.
• No benefits listed.
• No application deadline specified.