Machine Learning (Explainable AI)

We are looking for a passionate and motivated researcher with a solid track record of solving challenging problems, advancing state-of-the-art, and demonstrated passion for ground-breaking research that could be scaled to production environment with an emphasis on the intersection of AI and Safety.

Your responsibilities

:· Create new techniques to make AI models more interpretable, unbiased, transparent and aligned with human values for real-world scenarios

.· Create new techniques to ensure consistent alignment between user-centric explanations and intrinsic model behavior

.· Reverse-engineer on neural networks to understand internal workings of AI models rather than treating them as "black boxes"

.· Develop data attribution methods to quantify the influence of specific data points (text and image) on a model's prediction and implement solution

.· Implement and integrate AI explainbility techniques and tools

.· Build rigorous benchmarks and datasets to measure the quality of explanations, model transparency, and effectiveness of treatments

.· Communicate insights to stakeholders

.
Requirement

s:· Ph.D. in Computer Science, Deep Learning, Machine Learning, Mathematics or other related field

s.· Focused on research in the AI field with good track records and high motivation in Explainable AI and Safety domai

n.· Strong proficiency in Large Language Models (LLMs), neural networks, and computer vision architecture

s.· Strong background in Python, Java, or C++, with deep knowledge of ML frameworks such as PyTorch, TensorFlo

w.· Successful experience in AI alignment to human values and expectations, model robustness improvement, controlled and continual learning, neural network interpretability and editing techniques is highly value

d.· Pioneering novel methods and neural networks that revolutionized machine learning or the AI field, or revolutionized the industry, is a big bonu

s.· Strong publication record in top conferences (i.e. NeurIPS/ICLR/ICML/ AAAI/ACL/CVPR/ICCV/EMNLP/NAACL

).· Candidates with ICPC, IOI/IMO, IOAI and other international competition in computer science, machine learning, and AI, etc. are highly preferre

d.· Good teamwork, enjoy working with multi‑culture teams, passionate in challenging the status qu