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May 1, 2026

M&N Large Model R&D Program: Now Recruiting in Hong Kong

Launched May 1, 2026 — the M&N Large Model R&D Program optimizes our large model technology and builds new general-purpose, multimodal, and Hong Kong language models. We are recruiting in Hong Kong. Contact [email protected].

To strengthen our large model capabilities, Stellar AGI Labs spent the first half of 2026 learning the latest model technologies around the world. Following organizational adjustments in the first half of the year, we officially launched the M&N Large Model R&D Program on May 1, 2026.

Program Overview

The M&N program focuses on optimizing our large model technology and building entirely new models, across three core models:

  • General-Purpose Large Model — a practical foundation model for broad understanding and generation
  • Multimodal Large Model — fusing text, image, and voice for cross-modal intelligence
  • Hong Kong Language Large Model — dedicated to Hong Kong's indigenous language, with authentic local linguistic understanding

    • The program is based in Hong Kong, and will gradually invest more resources as it scales.

    Open Positions

    LLM Trainer / Large Model Training Specialist

  • Design and execute training pipelines for general-purpose, multimodal, and Hong Kong language models
  • Build and curate high-quality datasets across text, image, audio, and local dialect corpora
  • Evaluate model outputs, design benchmarks, and drive continuous quality improvement
  • Collaborate with research engineers to optimize training efficiency and model performance

    • Related Positions

  • Data Annotation Lead — manage annotation teams and quality standards for SFT and local language data
  • ML Research Engineer — distributed training, inference optimization, and model architecture research
  • Multimodal Engineer — vision-language fusion, speech interaction, and cross-modal alignment
  • Hong Kong Language Data Specialist — curate and validate Hong Kong colloquial and indigenous language training data
  • Prompt Engineer — prompt design, evaluation frameworks, and application integration

    • Requirements

  • Hands-on experience with LLM training, fine-tuning, or data engineering (strong AI fundamentals and fast learners welcome)
  • Familiarity with PyTorch, Transformers, DeepSpeed, or similar frameworks
  • Strong sense of data quality and model behavior; detail-oriented
  • Based in Hong Kong, or willing to relocate

    • What We Offer

  • Compensation: negotiable — competitive packages for the right talent
  • Direct involvement in building three large models from the ground up
  • A Hong Kong-based working environment
  • Flexible arrangements and a fast-moving, engineering-driven culture

    • How to Apply

    Send your resume (and anything that demonstrates your work — papers, projects, GitHub) to [email protected] with the subject line: `Application - [Position] - [Your Name]`.

    We review every application and respond to qualified candidates within 5 business days.