Patsnap3mo ago

Senior Machine Learning Engineer / Machine Learning Expert

SingaporeFull Timesenior

Data ScienceMachine Learning EngineerData & AI

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Quick Summary

Overview

Job Overview We are looking for a visionary Machine Learning Engineer to build the next generation of knowledge extraction engines for Materials Science. In this role,

Technical Tools

Data ScienceMachine Learning EngineerData & AI

Job Overview

We are looking for a visionary Machine Learning Engineer to build the next generation of knowledge extraction engines for Materials Science. In this role, you will go beyond simple text processing to tackle the most challenging aspects of patents and academic papers: complex table reconstruction, experimental workflow synthesis, chemical property mapping, and multimodal chart analysis. You will leverage NER, RAG, post-training to transform massive unstructured scientific literature into high-value, structured R&D databases.

Data Extraction Pipelines: Develop end-to-end solutions integrating OCR, Layout Analysis, and Semantic Parsing to precisely capture chemical formulas, experimental parameters, and performance metrics from complex documents. Resolve cross-modal data alignment between body text and complex scientific visuals (e.g., tables, chemical structures, and charts).

RAG Development: Partner with Data and Agent teams to design and implement robust RAG (hybrid search, ranking optimization) and search architectures, ensuring highly relevant document retrieval for complex scientific queries.

Model Post-training: Utilize post-training skills to enhance LLMs' reasoning capabilities and understanding on Materials Science data extraction.

Minimum Qualifications

Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related quantitative field.

Proficient in leveraging AI-enhanced development tools such as Claude Code, solid programming skills in Python with a focus on algorithmic implementation.

3+ years of hands-on experience in NLP/LLM/RAG, with a proven track record of deploying complex information extraction systems in production.

Excellent communication skills with the ability to understand product requirement, solve data/RAG related challenges within a cross-functional team.

Preferred Qualifications

RAG & Data: Deep experience in high-quality data processing and building production-grade RAG systems (including vector databases, hybrid search, and re-ranking).

Model Refinement: Proven ability to enhance extraction accuracy through post-training techniques, including NER, prompt engineering, and instruction fine-tuning.

Domain Expertise: Familiarity with Physics, Chemistry, or Biology (e.g., understanding of molecular structures or material properties) is a significant plus.

Listing Details

Posted: January 22, 2026
First seen: March 26, 2026
Last seen: April 22, 2026

Posting Health

Days active: 27
Repost count: 0
Trust Level: 31%
Scored at: April 23, 2026

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Patsnap

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PatSnap is a global leader in AI-powered innovation and IP intelligence, providing a platform that helps R&D and IP teams make faster, more informed decisions. Founded in 2007, the company serves over 15,000 customers worldwide.

Employees

750

Founded

2007

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