About the role

Role Overview

LLM / RL Engineer (Full-time, remote) at YC Bench. You will develop, deploy, and optimize machine learning models using large language models (LLMs) and reinforcement learning (RL) techniques, with a focus on high performance and scalability.

Responsibilities

Design and build data pipelines for training and model deployment
Train, fine-tune, and optimize LLM and RL models
Collaborate with cross-functional teams to integrate AI solutions
Conduct performance analysis and implement model improvements
Apply model evaluation practices, hyperparameter tuning, and performance optimization

Requirements

Strong expertise in machine learning, specifically LLMs and Reinforcement Learning (RL)
Experience designing and building data pipelines for model training/implementation
Proficiency in Python, PyTorch, and TensorFlow
Solid understanding of NLP and deep learning principles
Knowledge of model evaluation, hyperparameter tuning, and performance optimization
Strong problem-solving skills and ability to work independently

Nice to Have

Experience in startup or research-driven environments
MSc or PhD in Computer Science, Machine Learning, or related field (or equivalent experience)

About YC Bench

YC Bench is a live evaluation platform that benchmarks forecasting models, with a focus on predicting which Y Combinator startups will outperform their batch peers. It uses advanced machine learning to deliver accurate, actionable insights for startup ecosystem decision-making. The company leverages cutting-edge AI technologies to support evaluation and forecasting at scale.