Senior Python Developer

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About the Role

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions.

What You'll Do

• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
• Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
• Familiarity with Python frameworks and libraries
• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
• Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
• Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.
• Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.

You're a Good Fit If You

• Required skills: Python
• 3+ years of strong experience with Python programming language.
• Industry experience and knowledge of code quality, formatting, and best practices of software development
• Experience with Python’s testing ecosystem, including unit, integration, and property-based testing.
• Knowledge of multi-threading and asynchronous programming in Python.
• Ability to work with architectural patterns and refactor code without introducing regressions.
• Strong debugging skills, including fixing memory and concurrency issues.
• Fluent in conversational and written English communication skills

Role Highlights

Pay & Payout

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