Machine Learning Engineer - LLM, AI & Robotics

Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.

Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.

Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.

Work on efficient and effective ways to leverage large scale dataset and computational resource.

Explore novel ways to generate synthetic data to improve the data diversity & quality.

Communicate and align with different teams on product needs across the company

Ph.D in Computer Science or related fields.

Solid background in machine learning, natural language processing (NLP), computer vision,

speech or data.

Experience in working with LLMs

Strong python programming skills & software development, and strong experience with any

major deep learning framework.

Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc.

Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.

Record of publications, innovations or leadership.

A fun, supportive and engaging environment

Opportunity to make significant impact on transportation revolution by the means of

advancing autonomous driving

Opportunity to work on cutting edge technologies with the top talent in the field

Competitive compensation package

Snacks, lunches, and fun activities