LLM / RL Engineer

Company Description

YC Bench is a live evaluation platform designed to benchmark forecasting models, specifically aimed at predicting which Y Combinator startups will outperform their batch peers. Our mission is to leverage advanced machine learning techniques to provide accurate and actionable insights. By working with cutting-edge technologies, YC Bench is at the forefront of innovation and decision-making for startup ecosystems.

Role Description

We are seeking a Full-Time LLM/RL Engineer for a remote position to develop, deploy, and optimize machine learning models. The role involves working on large language models (LLMs) and reinforcement learning (RL) algorithms, ensuring high model performance and scalability. Key responsibilities include designing data pipelines, training and fine-tuning models, and collaborating closely with cross-functional teams to integrate AI solutions. Engineers will also focus on conducting performance analysis and implementing model improvements.

Qualifications

• Strong expertise in machine learning, including Large Language Models (LLMs) and Reinforcement Learning (RL)
• Experience in designing and building data pipelines for model training and implementation
• Proficiency in Python, PyTorch, and TensorFlow
• Solid understanding of natural language processing (NLP) and deep learning principles
• Knowledge of model evaluation, hyperparameter tuning, and performance optimization
• Excellent problem-solving skills and ability to work independently
• Experience working in startup or research-driven environments is a plus
• Master's or PhD in Computer Science, Machine Learning, or related fields (or equivalent experience)