Về công việc
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.
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