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Senior Python Engineer

Hiredddd — Canada · Posted ~2 hours ago

Senior Full-time Remote

Skills

Python AI model training AI model optimization Model evaluation Benchmarking Dataset creation Supervised fine-tuning Reinforcement learning from human feedback Reward models Large language models Reinforcement learning

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Summary ✨ AI‑Generated

A remote senior Python engineering opportunity focused on improving large language models through high-quality training data and rigorous evaluation. You will develop efficient Python code, benchmark model performance, curate task-specific datasets, lead supervised fine-tuning, and collaborate on human-feedback-based reinforcement learning.

Highlights

Work remotely from anywhere on advanced AI and language-model development, contributing to model training, evaluation, fine-tuning, benchmarking, proprietary datasets, and reinforcement learning workflows.

Description

Role: Python Engineer (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance. Key Responsibilities: • Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. • Conduct evaluations to benchmark model performance and analyze results for continuous improvement. • Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. • Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets. • Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models. Required Skills & Qualifications: • Proficiency in Python and related frameworks/libraries for AI/ML tasks. • Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF). • Strong understanding of evaluation strategies and benchmarking processes for AI models. • Ability to design and implement Python code for data generation and model optimization. • Familiarity with AI model response evaluation and ranking methodologies. More About the Opportunity: This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!