Python Engineer (Remote)

Hired; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Hired is seeking a Senior Python Developer to join a foundational LLM project. You will design and optimize Python code to train AI models, evaluate performance, and rank model responses across domains. The role includes leading supervised fine-tuning and collaborating with researchers and annotators on reward models.

You will work with a global AI leader on data generation for fine-tuning and benchmarking, contributing to state-of-the-art language model development in a dynamic environment.

Qualifications

• Proficiency in Python and ML libraries/frameworks.
• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
• Strong understanding of evaluation/benchmarking for AI models.
• Ability to design Python code for data generation and model optimization.
• Familiarity with model response evaluation and ranking methods.

Responsibilities

• Design, develop, and maintain Python code to train and optimize AI models.
• Conduct evaluations to benchmark model performance and improve results.
• Evaluate and rank AI model responses to user queries across domains.
• Lead supervised fine-tuning and maintain task-specific datasets.
• Collaborate with researchers and annotators to refine reward models.

Skills

Python

SFT

RLHF

Evaluation strategies

Data generation

Job description

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.