about 3 hours ago
Hong Kong, Hong Kong +7 moreMid Level / Senior / Staff+
Responsibilities
- Build end-to-end ML systems including data pipelines and deployment.
- Fine-tune large models using techniques like LoRA and distillation.
- Architect scalable inference systems balancing latency and cost.
- Design and maintain data systems for training data.
- Implement evaluation pipelines for performance and safety.
- Own production deployment focusing on optimization and efficiency.
- Collaborate with engineering teams to integrate ML systems.
- Make pragmatic trade-offs and ship improvements quickly.
Requirements
- Experience building and shipping ML systems used by real users.
- Comfortable working with large models and understanding their failure modes.
- Strong production-grade coding skills with a focus on correctness.
- Self-directed and accountable for outcomes.
- Clear communicator and effective collaborator in small teams.