Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Building and optimizing AI tools for companies to measure and reduce their carbon emissions with an accent on leveraging LLMs and embeddings. Focus on prototyping, developing, and launching core AI technologies while collaborating with cross-functional teams.

Location: Must be willing to work from an office 4 days per week in San Francisco or New York City

Compensation: $247,770 - $275,300

Company

hirify.global is the enterprise sustainability platform.

What you will do

• Prototype, develop and iterate on new product areas for hirify.global, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions
• Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
• Collaborate with product and other AI engineering teams to set product and technical strategy
• Build evals, fine tune, create agent harnesses to build reliable AI powered systems
• Keep up with developments and state-of-the-art in AI to determine what is relevant to hirify.global
• Write performant, well-crafted, tested, and maintainable code across our technical stack

Requirements

• 8+ years of experience in Machine Learning / AI engineering
• Experience building products using LLMs, embeddings and other ML technologies
• Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
• Experience leading cross functional teams in an innovative fast moving environment
• A strong foundational understanding of machine learning models and practice, including model evaluation and performance
• Strong full-stack development skills