Senior NLP Engineer

Architect and Develop Advanced NLP Models: Pioneer cutting- edge solutions for a range of educational applications, including:
Automated Scoring & Feedback: Design systems for instant and accurate scoring of essays, pronunciation, grammar, and vocabulary.
Intelligent Learning Assistants: Build sophisticated AI tutors and conversational agents that can understand student queries, provide contextual explanations, and guide them through their learning journey.
Robust Speech Technologies: Implement and fine- tune state- of- the- art Speech- to- Text (STT) and Text- to- Speech (TTS) models to create immersive practice environments.
Research & Implementation: Stay at the forefront of AI research, experimenting with and applying the latest techniques (e.g., Transformers, Large Language Models) to solve unique challenges in language education.
Collaborate and Ship: Work closely with product managers, software engineers, and language experts to integrate your AI models into our products, ensuring they are scalable, efficient, and deliver tangible value to our users.
Pioneer our AI Conversation Partner: Build the core AI for a virtual speaking partner, designed specifically to help users build real- world communication skills through interactive, realistic dialogues with instant coaching.

Hard Skills Requirements:

Strong analytical and problem- solving skills.
Ability to comprehend technical documents, scientific articles, and stay up- to- date with the State of The Art (SOTA).
Proficient in model serving (using RayServe, Triton, vLLM, sglang, etc.) and service integration and deployment.
Proficient with Large Language Models (LLM) and AI Agent.
Bachelor&039;s or Master&039;s degree in Computer Science or related fields.
Proficient with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage.
Expertise in building, analyzing data, training, and optimizing NLP models.
At least 2 years of experience in the field of Natural Language Processing (NLP).
Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch.
Proficient in applying AI to research and problem solving
Proficient use of Git, Docker.
Soft Skills Requirements:
Careful in work and considerate of customers.
Fluency in English and Chinese is an advantage.
Good communication skills, proactive, flexible at work, collaborative, and friendly within the team.
High enthusiasm and responsibility.

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Cập nhật gần nhất lúc: 2026-04-04 07:05:02