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Job description
Role Overview
We are hiring a Senior Python Engineer to support a pioneering company specializing in large language models (LLMs). The position involves crafting and refining Python-based solutions to generate high-quality proprietary datasets aimed at fine-tuning and evaluating AI model performance.
Primary Responsibilities
- Create, implement, and sustain robust Python code designed for training and enhancing AI models.
- Perform detailed evaluations and benchmarking of model performances and analyze outcomes to drive iterative improvements.
- Assess and rank AI responses to user queries across varied domains to ensure compliance with established standards.
- Lead supervised fine-tuning initiatives by developing and maintaining precise, task-oriented datasets.
- Partner with research teams and annotation experts to carry out reinforcement learning with human feedback and enhance reward model quality.
Candidate Requirements
- Expertise in Python programming, including knowledge of AI and machine learning frameworks and libraries.
- Experience in supervised fine-tuning (SFT) and reinforcement learning utilizing human feedback (RLHF).
- Strong grasp of AI model evaluation methods and benchmarking techniques.
- Skills in designing and developing Python scripts for data creation and model optimization purposes.
- Familiarity with methodologies for evaluating and ranking AI model responses.
Additional Information
This full-time remote opportunity allows collaboration with leading AI researchers and engineers globally, contributing significantly to advancing large language model technologies.
Our hiring practices are inclusive and merit-based, welcoming all capable candidates regardless of their background or prior work history. Selection is based exclusively on technical proficiency and qualifications.