AI Amplify Researcher

The Metabit Amplify Team is an elite squad dedicated to building AI-native engineering infrastructure. We design and implement end-to-end AI coding agent systems that multiply every engineer's productivity by 3-5x.

We don't write trading strategies—we build tools and systems that multiply strategy engineers' efficiency. We are also firm believers and practitioners of open source:

• Embracing Open Source: We stand on the shoulders of giants, actively adopting and integrating cutting-edge open source technologies to stay in sync with the global AI community.
• Contributing Back: We don't believe in building in isolation. As we refine our systems, we will progressively open source this secure, reliable, and efficient AI-native engineering infrastructure.

Responsibility

• Research LLM-based coding agents, including key capabilities such as planning, tool use, memory, and long-horizon reasoning
• Explore how AI understands and operates on real-world large codebases and development toolchains
• Design new agent architectures and algorithms to push the boundaries of AI-automated software development
• Build evaluation frameworks and benchmarks to measure coding agent capabilities in bug fixing, feature implementation, code migration, and test generation
• Rapidly prototype research ideas and validate them in real engineering environments
• Analyze the capabilities and limitations of frontier models (Claude, GPT, Codex, etc.)
• Track and reproduce latest research results from OpenAI, Anthropic, DeepMind, and the open source community
• Collaborate with engineering teams to transform research outcomes into production systems
• Participate in the broader research community through open source, technical reports, or papers

We expect you to:

• Strong foundation in computer science (algorithms, systems, machine learning, etc.)
• Strong interest in LLMs, Agent Systems, and AI Coding
• Project experience with LLMs or AI agents
• Ability to design experiments and systematically evaluate AI system capabilities
• Excellent programming skills (Python preferred)
• Ability to quickly understand papers and new technologies and implement prototypes
• Self-driven with a passion for exploring open-ended problems

Bonus points:

• Research experience in LLMs, code models, program synthesis, or automated debugging
• Publications or technical talks in ML / Systems / Software Engineering
• Familiarity with large codebases or developer infrastructure
• Contributions to open source AI projects
• Experience with AI coding tools (Copilot, Claude Code, SWE-agent, Devin, etc.)