Profound, a Series B AI startup backed by Sequoia Capital, is revolutionizing how brands measure and improve their AI platform visibility. As an AI/ML Engineer, you'll be at the forefront of developing large-scale NLP and LLM systems that power various ML functionalities. The role combines hands-on technical work with cross-functional collaboration, offering the opportunity to impact how major brands like MongoDB, DocuSign, and Zapier navigate the AI landscape.
The position demands expertise in building and deploying production-grade ML systems, with a focus on NLP and LLM workflows. You'll be responsible for everything from data pipeline maintenance to model deployment, working on classification, ranking, clustering, and content generation systems. The role requires strong technical skills in Python and SQL, combined with the ability to design sophisticated evaluation frameworks and monitoring systems.
Located in NYC's Union Square office, this role offers the perfect environment for builders who thrive in fast-paced settings. You'll get to work with cutting-edge AI technology while collaborating with various teams to drive product insights and customer-facing KPIs. The compensation package includes a competitive salary range of $160K-$250K plus meaningful equity, reflecting the high-impact nature of the position.
This is an ideal opportunity for someone who wants to be at the intersection of AI innovation and business impact, working with a team that's backed by top-tier investors and serving industry-leading clients. The role offers significant autonomy and the chance to shape how companies understand and control their AI presence in an rapidly evolving technological landscape.