Machine Learning Engineer

About Us We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken. Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges. Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI. About the job We’re looking for a Founding Machine Learning Engineer to lead the development of our AI-driven knowledge discovery systems. This role is for someone who thrives in early-stage, high-impact environments, shaping both the technical foundation and strategic direction of our ML efforts. As a founding team member, you’ll take ownership of designing and deploying cutting-edge models and pipelines for Knowledge Extraction, Natural Language Understanding (NLU), and Information Retrieval while driving advances in unsupervised learning, and fine-tuning LLMs to build scalable, high-performance AI applications. This role demands deep technical expertise and a builder mentality—someone who can move fast, make key architectural decisions, and iterate hands-on. You’ll work alongside the founders to shape the product roadmap, hire the ML team, and set the long-term AI vision, balancing rapid development with long-term scalability.