About the role

Role overview

LLM & RL Engineer | Agentic Engineer at YC Bench. Full-time and remote. You will develop and fine-tune large language models (LLMs) and reinforcement learning (RL) algorithms to analyze and predict startup success metrics.

Responsibilities

Process and prepare data for predictive modeling
Build, optimize, and evaluate predictive models
Design workflows to integrate LLMs into operational systems
Collaborate with cross-functional teams to implement advanced ML solutions
Continuously explore and apply new ML advancements to improve platform prediction quality

Requirements

Strong expertise in LLMs, NLP, and fine-tuning pre-trained models
Solid understanding of reinforcement learning (RL) concepts, tools, and applications
Experience with data preparation, cleaning, and feature engineering
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
Strong foundation in machine learning and data analysis
Experience deploying and scaling models on cloud platforms such as AWS, Azure, or GCP
Excellent problem-solving skills; able to work independently and collaboratively

Nice to have

Master’s or Ph.D. in Computer Science, Data Science, or related field
Experience with the startup ecosystem / early-stage companies

About YC Bench

YC Bench is a live benchmarking platform focused on evaluating the predictive performance of forecasting models for Y Combinator startups. It helps identify which startups are likely to outperform their batch peers by turning machine learning and robust analytics into actionable insights for the startup ecosystem.