Key Responsibilities:

1. Code Readability and Style: Assessing if the code adheres to the established coding standards, follows a consistent style, and uses descriptive variable and function names.
2. Functionality Review: Ensuring that the code behaves as expected, meets the requirements, and doesn’t have logical errors.
3. Code Structure: Checking if the code follows best practices in structuring packages, modules, and functions. Evaluating if the code is modular, reusable, and follows Go idioms.
4. Documentation: Verifying if the code has adequate comments and documentation to explain its purpose, functionality, and any non-trivial operations.
5. Error Handling: Ensuring that error handling is proper and robust, with clear indication and handling of potential errors.
6. Security Concerns: Checking for vulnerabilities, potential security risks, and adherence to secure coding practices.
7. Dependencies and Versioning: Verifying dependencies, ensuring they're up to date, and evaluating if the dependency management follows best practices.
8. Code Review Feedback: Providing constructive feedback and recommendations for improvements, emphasising clarity, performance, maintainability, and overall code quality.
9. Version Control: Checking commit history, branching strategies, and ensuring that version control practices are followed.
10. Collaboration and Communication: Collaborating with the founder to discuss findings, resolve issues, and ensure a shared understanding of the feedback.

Nice to have:

1. Performance Analysis: Identifying any performance bottlenecks, inefficient algorithms, or areas where the code could be optimised for better performance.
2. Testing: Assessing the presence and quality of tests, ensuring that the codebase has adequate test coverage and the tests cover various scenarios.

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Qualifications:

• Degree in Computer Science/Engineering or related field.
• Experience in ML, AI, data structures, and algorithms.
• Proficiency in Golang, Javascript and Python.
• Familiarity with Golang and ML frameworks (e.g., TensorFlow, PyTorch).
• Comfortable with cloud platforms (AWS, Azure, GCP).
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.