Machine Learning Engineer

Sapling.ai is at the forefront of enterprise language model integration, providing API and SDK solutions that help businesses enhance their applications with advanced language capabilities. As a Machine Learning Engineer, you'll join a dynamic team led by Berkeley/Stanford AI graduates, working on cutting-edge transformer models and their implementation.

Your role will be crucial in expanding Sapling's enterprise customer base through the development and optimization of sophisticated ML/NLP systems. You'll be responsible for building essential components across the entire machine learning pipeline, from data preprocessing to model training and evaluation, with a particular focus on transformer models.

The position offers unique opportunities to work directly with the founders, providing both technical mentorship and insights into early-stage startup operations. You'll have the flexibility to manage your work schedule while taking on end-to-end ownership of projects that directly impact the company's growth.

The ideal candidate brings strong ML/NLP/deep learning expertise combined with robust engineering capabilities. You'll be expected to handle complete project ownership while contributing to Sapling's mission of helping customer-facing teams compose responses more efficiently through their CRM and messaging platform integrations.

This role is perfect for someone who wants to make a significant impact in a growing AI company while learning from experienced professionals in the field. The position offers competitive compensation and the chance to work with cutting-edge language models in a flexible, collaborative environment.