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Company Overview
This company empowers IP and R&D teams by providing better answers, so they can make faster decisions with more confidence. Founded in 2007, the company is the global leader in AI-powered IP and R&D intelligence. Their domain-specific LLM, trained on their extensive proprietary innovation data, coupled with their AI assistant, delivers actionable insights that increase productivity for IP tasks by 75% and reduce R&D wastage by 25%. IP and R&D teams collaborate better with a user-friendly platform across the entire innovation lifecycle. Over 15,000 companies trust this company to innovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, and Wilson Sonsini.
Job Title: Senior/ Machine Learning Engineer(NLP)
About the role
They are looking for machine learning engineers to help them improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape their Product development. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.
Responsibilities
Responsible for exploring NLP-related cutting-edge technologies and applying them to search scenario and AI agent scenario.
Responsible for analysing and understanding of the massive structured and unstructured data by NLP tasks, such as data processing, NER, relationship extraction, etc.
Responsible for developing and fine-tuning models to meet business requirements.
Work with a cross functional team to achieve business goals.
Requirements
Minimum Qualifications
Master or Bachelor degree in Computer Science, AI, or related field.
Excellent coding ability, data structure and basic algorithm foundation.
Proficient in C/C++ or Python.
Familiar with NLP-related algorithms and technologies.
Preferred Qualifications
Familiar with at least one field among ML, NLP, LLM, etc.
Experience in using deep learning frameworks like PyTorch & TensorFlow.
Experience in LLM, abstract, NER, or prompt engineering tuning, instruction, fine-tuning.
Experience in optimising pre-trained models, familiar with BERT and GPT-based papers published in ACL/AAAI/KDD/NIPS/CVPR.
Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
Excellent problem analysis and problem-solving skills, able to deeply solve the problems existing in LLM.
Disclaimer
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No Client Relationship: This company is not a client of SpringCube unless stated.
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