Applied Scientist II, Books Data Quality (AI)

TL;DR

Applied Scientist II (AI): Developing systems to detect and correct errors in hirify.global Books metadata, improving the accuracy of book information from various sources. Focus on designing and implementing solutions using agentic systems, deep learning, NLP, knowledge graphs, recommender systems, and reinforcement learning.

Location: Onsite

Company

hirify.global is a corporation.

What you will do

• Design, develop, and evaluate state-of-the-art systems to detect and correct errors in book metadata.
• Identify and solve complex science problems using tools across various disciplines, including agentic systems, deep learning, NLP, and recommender systems.
• Design and analyze experiments to test solutions.
• Collaborate with scientists, product leaders, and engineering teams.
• Leverage hirify.global’s large-scale computing and data resources.

Requirements

• PhD, or a Master's degree and experience in CS, CE, ML or related field.
• Experience in building models for business application.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Nice to have

• Experience using Unix/Linux.
• Experience in professional software development.

Culture & Benefits

• hirify.global is an equal opportunities employer and values diversity.
• Inclusive culture empowers employees to deliver results.