AI/ML Tech Lead

(GDM) Tech Lead for GenAI Code Initiatives

Key Responsibilities:

Code Generation & Refinement: Directly write, evaluate, and rewrite code to solve complex, real-world problems. This is not just a management role; it is a critical hands-on position.

Code Validation: Develop and implement sophisticated frameworks to rate and evaluate the quality of code responses generated by our models. This includes creating automated test suites and benchmarks.

Code Quality and Efficiency: Analyze and improve the efficiency and correctness of both human-written and model-generated code.

Cross-Functional Collaboration: Partner with research, engineering, and product teams to integrate feedback and drive improvements in code-centric models.

Required Skills and Qualifications:

Role: Tech Lead / Senior Software Engineer

Experience: Proven track record (7 - 10+ years) of building and shipping complex software solutions.

Languages (Priority):

Python, Java, C, C++, JavaScript: Strong proficiency in at least one of these languages for evaluating and rewriting model-generated code in diverse environments.

Code Evaluation: Experience in creating comprehensive test harnesses, evaluating code for correctness, efficiency, and security, and defining code quality metrics.

GenAI Experience (Preferred): Familiarity with LLMs and the challenges of code generation, fine-tuning, and evaluation.

Why This Role is Critical for Our Success:

A Tech Lead with this specific skill set will be a force multiplier for our team. By combining coding proficiency with the ability to build evaluation frameworks, this individual will:

Accelerate Development: Drastically reduce the time it takes to validate and refine code-generating models.

Ensure Quality: Guarantee that the code produced by our models is robust, secure, and production-ready.

Drive Innovation: Provide the deep technical insights needed to solve the most challenging and complex GenAI code use cases.