AI Scientist/Engineer at OKX

Location: Singapore, Singapore

Read by 242 job seekers.

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa

About OKX

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

Introduction:
We are seeking a skilled NLP & LLM Expert to join our team, focusing on the development and implementation of advanced natural language processing techniques and large language models. This role is ideal for individuals with a strong background in AI-driven content generation, particularly in creating AI Agents, AI-Generated Content (AIGC) for SEO, and utilizing Transformer models for tasks such as summarization and content growth.

Responsibilities:

Create AI-Generated Content (AIGC) strategies aimed at optimizing SEO and driving content growth.
Fine-tune large language models (LLMs) to improve performance on domain-specific tasks and datasets.
Develop Retrieval-Augmented Generation (RAG)-based chatbots to provide accurate and contextually relevant responses.
Deploy open-source LLMs, ensuring scalability and efficiency in various applications.
Apply prompt engineering techniques, including those utilizing models like GPT-4, to optimize model outputs for specific tasks.
Design and implement AI Agents capable of understanding and generating human-like text to improve user engagement and support.
Stay updated with the latest advancements in NLP, LLMs, and AI technologies, applying new methodologies to improve content generation and summarization.
Assist in presenting model outcomes to stakeholders, ensuring alignment with organizational objectives.
Contribute to a culture of technical excellence and innovation by supporting team members in adopting AI technologies and methodologies.

Requirements:

Bachelor’s or Master's or PhD degree in Computer Science, Data Science, or a related field.
5+ years of experience in technology-focused roles, with significant exposure to natural language processing and large language models.
Proficiency in developing and deploying machine learning models, including deep learning and Transformer-based architectures, for NLP tasks.
Practical experience with feature engineering, text summarization, content generation, and SEO optimization.
Experience in fine-tuning LLMs for domain-specific applications.
Knowledge of Retrieval-Augmented Generation (RAG) techniques and their application in chatbot development.
Experience in deploying open-source LLMs in production environments.
Expertise in prompt engineering, particularly with models like GPT-4.
Strong analytical and problem-solving skills, with the ability to manage multiple projects and collaborate effectively with team members.
Solid understanding of AI-driven content strategies and their applications in enhancing user engagement and content growth.
Excellent communication and strategic thinking abilities.

Preferred Qualifications:

Previous experience in fast-paced or startup environments, or at top-tier technology firms.
Contributions to projects or research in NLP, particularly those relevant to AI Agents, AIGC, and Transformer models.

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Estimated Salary Range

Our AI-powered salary intelligence estimates this position's salary to be between '$80,000 - $150,000'. The actual salary may vary based on factors such as experience, location, and market trends.

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