At H2Ok Innovations, we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our H2Ok AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0.
Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future.
What You Will Do
As our company scales, we're in search of a full-time ML Delivery Engineer to join our expanding team. As an ML Delivery Engineer, you will work directly with customers to solve high-impact immediate problems, designing and deploying ML models and solutions to build the future of the autonomous factory. Your responsibilities will look similar to those of a hands-on AI startup CTO where you will work cross-functionally in sales, customer success, and engineering to own delivery of high-stakes projects with global clients. You are someone who is highly motivated and enthusiastic about working with data, experienced with (or deeply interested in) machine learning, keen at understanding customer needs, and has excellent communication and problem-solving skills. Having a background in computer science, chemical engineering, industrial engineering, mechanical engineering, UI/UX, or manufacturing processes is a plus.