Bybit

2 months ago

NLP Algorithm Engineer Intern

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Develop and support LLM-based applications, including Q&A systems, agent workflows, and algorithmic workflow systems. Help design and optimize prompts to improve model performance, implement tool use and multi-turn dialogue logic, and execute core NLP tasks like text classification, information extraction, and semantic matching. Contribute to small-scale modeling, performance optimization, and data cleaning/feature engineering with results analysis.

Location: Hong Kong, Kuala Lumpur

Workplace: Remote

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Participate in developing LLM-based applications, including Q&A systems, agents, and algorithmic workflow systems.
•Assist in workflow development, prompt design, and prompt optimization to improve model performance.
•Implement tool use (function calling) and foundational multi-turn dialogue logic for agents.
•Implement core NLP tasks such as text classification, information extraction, and semantic matching.
•Perform data cleaning, basic feature engineering, and result analysis, along with small-scale modeling and performance optimization.

Pay and Benefits

Perks:Learning Budget

Key Requirements

•Proficient in Python with strong problem-solving skills and good coding habits.
•Familiar with common NLP tasks such as text classification, NER, and semantic matching and their standard methodologies.
•Capable of independently training and fine-tuning simple classification or labeling models.
•Deep understanding of Transformer/BERT principles, including structure, training objectives, and application scenarios.
•Experience with Large Language Models (e.g., API calls and basic prompt engineering) or understanding of agent fundamentals like tool use and multi-turn dialogue.

Experience:NLPMachine learningLLMs

Skills:Problem-solving

Tech Stack:PythonJavaLarge Language ModelsTransformersBERTPrompt EngineeringAPI callsQ&A systemsNERTool UseMulti-turn dialogueRAGRetrieval-Augmented GenerationClassificationLabeling

Company Brief

Bybit

Operates a cryptocurrency exchange and trading platform offering spot, derivatives, copy trading, and related digital asset services for retail and institutional users. The platform focuses on high-liquidity crypto markets, trading tools, and Web3-related products.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Founded: 2018

Website LinkedIn

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Bybit

2 months ago

NLP Algorithm Engineer Intern

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Hong Kong, Kuala Lumpur

Workplace: Remote

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Participate in developing LLM-based applications, including Q&A systems, agents, and algorithmic workflow systems.
•Assist in workflow development, prompt design, and prompt optimization to improve model performance.
•Implement tool use (function calling) and foundational multi-turn dialogue logic for agents.
•Implement core NLP tasks such as text classification, information extraction, and semantic matching.
•Perform data cleaning, basic feature engineering, and result analysis, along with small-scale modeling and performance optimization.

Pay and Benefits

Perks:Learning Budget

Key Requirements

•Proficient in Python with strong problem-solving skills and good coding habits.
•Familiar with common NLP tasks such as text classification, NER, and semantic matching and their standard methodologies.
•Capable of independently training and fine-tuning simple classification or labeling models.
•Deep understanding of Transformer/BERT principles, including structure, training objectives, and application scenarios.
•Experience with Large Language Models (e.g., API calls and basic prompt engineering) or understanding of agent fundamentals like tool use and multi-turn dialogue.

Experience:NLPMachine learningLLMs

Skills:Problem-solving

Tech Stack:PythonJavaLarge Language ModelsTransformersBERTPrompt EngineeringAPI callsQ&A systemsNERTool UseMulti-turn dialogueRAGRetrieval-Augmented GenerationClassificationLabeling

Company Brief

Bybit

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Founded: 2018

Website LinkedIn