EvenUp is revolutionizing the legal tech space by leveraging AI and technology to bridge the justice gap. As a Staff Machine Learning Engineer, you'll be at the forefront of developing cutting-edge Document AI systems and Large Language Model applications. The role combines deep technical expertise with strategic leadership, focusing on building next-generation models for complex legal and medical document processing.
The position offers a unique opportunity to work with an interdisciplinary team of experts from various backgrounds including physics, ML, and neuroscience. You'll be pioneering advanced techniques in information extraction, retrieval, and processing, while working with state-of-the-art LLM technologies. The role requires both technical excellence and leadership skills, as you'll be guiding a team of data scientists and ML engineers.
EvenUp, backed by prestigious VCs like Bessemer Venture Partners and Bain Capital Ventures, is one of the fastest-growing vertical SaaS companies. The company offers a comprehensive benefits package and maintains a hybrid work environment with hubs in San Francisco and Toronto. This is an excellent opportunity for someone who wants to make a meaningful impact in the legal tech space while working with cutting-edge AI technology.
The ideal candidate will bring 10+ years of ML experience, a PhD in a relevant field, and a proven track record of deploying operational ML models. You'll be working in a hybrid setting (minimum 3 days in office) with a talented team focused on pushing the boundaries of what's possible in legal tech through AI innovation.