LLM & RL Engineer

Company Description

YC Bench is a live benchmark platform that evaluates forecasting models to predict the performance of Y Combinator startups relative to their batch peers. Our mission is to empower data-driven decision-making in the startup ecosystem. By providing real-time insights, YC Bench helps investors and stakeholders better understand startup dynamics and potential future success.

Role Description

This is a full-time remote position for a Large Language Model (LLM) & Reinforcement Learning (RL) Engineer. The role involves designing, implementing, and optimizing LLM and RL algorithms to enhance predictive models. Additional responsibilities include conducting experiments, analyzing data, and collaborating with a cross-functional team to improve prediction capabilities and system performance.

Qualifications

• Proficiency in developing, training, and fine-tuning Large Language Models and experience with Reinforcement Learning techniques.
• Strong programming skills in Python and familiarity with frameworks such as TensorFlow or PyTorch.
• Experience in data analysis, feature engineering, and building predictive models.
• Proficiency with cloud computing platforms and tools for deploying machine learning models at scale.
• Excellent problem-solving skills, attention to detail, and a passion for creating innovative AI solutions.
• Master’s or Ph.D. in Computer Science, Machine Learning, or a related field is preferred.
• Experience with startup investment or business forecasting models is a plus.