Về công việc
Trách nhiệm chính
- Design, train, and deploy video understanding models using VLMs, VLLMs, and RAG pipelines for semantic feature extraction, tagging, captioning, and content understanding.
- Build and optimize recommendation models leveraging multimodal embeddings (video, audio, text) for candidate retrieval and ranking.
- Implement end-to-end MLOps pipelines, including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
- Work with engineering teams to integrate large-scale embeddings and RAG outputs into real-time recommendation systems.
- Conduct experiments and A/B tests to evaluate the impact of new models on user engagement metrics (watch time, CTR, retention).
- Solve hypergrowth challenges, scaling systems to millions of daily active users and global-scale video datasets.
- Stay up-to-date with state-of-the-art multimodal AI research and translate it into production-ready solutions.
Yêu cầu
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields; PhD is a plus.
- Experience in machine learning, preferably in recommendation systems, multimodal modeling, or video AI.
- Hands‑on experience with Vision‑Language Models (e.g., CLIP, BLIP, VideoCLIP), Video LLMs, and RAG architectures.
- Strong Python and ML framework skills (PyTorch, TensorFlow, Hugging Face).
- Experience in large‑scale data processing (Spark, Ray, or similar) and real-time serving.
- Familiarity with retrieval, ranking, and personalized recommendation models.
- Experience in MLOps pipelines: automated training, CI/CD, monitoring, versioning, and deployment.
- Strong problem‑solving skills and ability to deliver production‑ready, scalable ML solutions.
Yêu cầu ưu tiên
- Experience in self‑supervised learning, multimodal contrastive learning, or LLM prompt engineering.
- Prior work on video recommendation platforms or hypergrowth products.
- Experience in deploying RAG pipelines at scale.
- Knowledge of hypergrowth environments and global‑scale ML system design.
Thông tin khác
- Location: Hồ Chí Minh.
- Job type: Full‑time.
- No salary information provided.
- No application deadline specified.