Machine Learning Engineer

Sapling.ai is an innovative startup focused on developing language models for enterprise applications. As a Machine Learning Engineer, you'll join a small but dynamic team working on cutting-edge NLP solutions. The role offers a unique opportunity to work directly with founders who are Berkeley/Stanford AI graduates, building critical components of Transformer model pipelines.

The position combines technical depth in ML/NLP with practical application in enterprise settings. You'll be responsible for developing and implementing data preprocessing, training, evaluation, and guardrail systems for language models. These solutions help integrate AI capabilities into CRMs and messaging platforms, enabling customer-facing teams to work more efficiently.

Founded in 2019, Sapling.ai is at an exciting growth stage, seeking engineers who can take end-to-end ownership of projects. The role offers significant impact potential, as you'll be instrumental in expanding the company's enterprise customer base. Working in a flexible environment, you'll have the chance to learn about both early-stage startups and advanced ML/deep learning techniques.

This is an ideal opportunity for an experienced engineer passionate about NLP and enterprise AI applications. You'll be at the forefront of developing practical AI solutions that directly impact business operations, while working in a collaborative environment with direct access to technical founders. The position offers competitive compensation and the flexibility of remote work, making it an attractive opportunity for those looking to make a significant impact in the enterprise AI space.