AI Trainer: Code Generation
Embedding VC · Palo Alto, CA · 4 mo ago
HybridTrainingFull-time
What You Will Do
- Analyze and refine multi step code reasoning trajectories generated from real production repositories.
- Review model generated reasoning sequences.
- Identify logical inconsistencies or weak reasoning steps.
- Improve trajectory structure to produce stronger, production grade outputs.
- Evaluate reasoning quality across different programming environments.
What we are looking for
- Engineers with strong hands on development experience and deep familiarity with real codebases.
- Proficient in at least two mainstream programming languages such as Python, C++, Java, TypeScript, or JavaScript.
- Real world development experience in areas such as backend systems, frontend applications, algorithms, testing, or infrastructure.
- Comfortable reading and reasoning through large GitHub repositories.
- Strong written communication skills.
- Experience contributing to high visibility or high star GitHub repositories is a strong plus.
Additional Details
We expect to onboard approximately 10 to 20 engineers for this long term initiative. A short qualification exercise may be required prior to joining.