Machine Learning Researcher -LLM Agents & Efficient Deep Learning

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

• multi-agent systems, and function call models. Build scalable SLM pipelines for training, evaluation, and deployment.

• Develop methods for efficient training and inference, including: Quantization (e.g., low-precision formats, INT8/FP8); Pruning and sparsity; Low-rank  and tensor decompositions

• Explore advances in: Parameter-efficient fine-tuning such as LoRA; Memory and long-context modeling; Adapt GPU-based LLMs for CPU-based SLMs.

• Prototype new ideas and validate them through rigorous experimentation

• Optimize inference performance (latency, throughput, KV-cache efficiency)

• Integrate reasoning models with tool-use frameworks (e.g., function calling, APIs)

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.