<div> We’re building the next generation of AI-powered productivity tools for autonomous building management, with seamless interaction between humans and machines at the core. Our team combines deep expertise in AI with elegant product design to create experiences that are natural, intuitive, and delightful. If you’re excited about attracting new users and championing our products while helping us accelerate and strengthen our frameworks, this role is for you.About PassiveLogic®PassiveLogic is the first fully autonomous platform for buildings. We’ve reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world’s carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions.We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives—backed by the world’s leading investors—working together to make the future a reality. About the RoleThis is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. We are looking for a Learning Process Engineer to design and implement the technical frameworks through which our Qortex engine learns, adapts, and improves. This role blends machine learning, data engineering, and graph-based knowledge modeling. You will architect the pipelines, feedback loops, and graph-driven logic that enable the system to continuously refine its performance.If you thrive on building scalable learning architectures that combine AI with graph-based data systems, this is the role for you.What you’ll do<ul><li>Architect feedback pipelines: Build and maintain data ingestion and labeling processes that transform user interactions into structured learning signals.</li><li>Design graph-based knowledge structures: Model, update, and optimize workflows in a graph database (e.g., Neo4j, ArangoDB, Weaviate, or similar).</li><li>Implement adaptive logic: Use graph queries and embeddings to inform recommendations, predictions, and workflow adaptation.</li><li>Integrate human-in-the-loop learning: Deploy mechanisms that incorporate user corrections and contextual feedback into graph representations and model updates.</li><li>Collaborate with ML and software engineers: Define retraining strategies, model evaluation criteria, and experiment frameworks that leverage graph-based data.</li><li>Automate performance monitoring: Develop dashboards and metrics for tracking how graph-driven learning impacts system accuracy, adoption, and efficiency.</li></ul>What you’ll bringIf your experience does not meet all our posted requirements below, we’d still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that’s you, please apply!<ul><li>Technical background in computer science, AI/ML, data engineering, or knowledge systems.</li><li>Experienced with graph databases (Neo4j, TigerGraph, Weaviate, Neptune), Python/C++, graph query languages (Cypher, Gremlin, GraphQL, SPARQL), graph ML/embeddings, and building ETL pipelines, event-driven systems, and real-time feedback loops.</li><li>Understanding of feedback-driven model improvement, reinforcement learning, or adaptive systems.</li><li>Experience working cross-functionally with engineers, designers, and product managers.</li><li>Analytical mindset: ability to define success metrics, run experiments, and interpret results.</li><li>Excellent communication skills and a collaborative, problem-solving approach.</li><li>Background in process engineering, systems design, product operations, or applied AI/ML.</li><li>Strong systems thinking: ability to model complex workflows and simplify them into actionable processes.</li><li>Familiarity with human-in-the-loop learning, adaptive systems, or feedback-driven workflows.</li></ul>You must haveProven experience: 5+ years in developing software with an ecosystem nature.Exceptional communication skills: Ability to craft narratives and messaging that resonate across different engineering and product teams.Organized and strategic: Skilled in planning and delivering in an agile manner.Collaborative mindset: Enjoy working across teams, contributing to integrated campaigns, and aligning event strategies with overall marketing goals.Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate.Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up.It’s helpful to have<ul><li>Experience with LLM fine-tuning, RAG (retrieval-augmented generation), or hybrid search (vector + graph).</li><li>Knowledge of MLOps workflows and deploying AI systems in production.</li><li>Familiarity with ontologies, semantic reasoning, or graph-based recommendation systems.</li><li>Experience in knowledge work automation, intelligent assistants, or productivity tools.</li><li>Comfort with data analysis (SQL, Python, or BI tools) to validate process impact.</li><li>Exposure to UX research or behavior-driven design.</li></ul>We know there are candidates who might not fit everything we’ve described above, or who might have experience and skills we haven’t considered. PassiveLogic can sometimes be flexible enough to shift responsibilities to the right person, or otherwise identify open or upcoming roles that may better fit your professional background. Even if you don’t meet all the requirements above, we still want to hear from you.Compensation, Benefits &amp; Perks in the U.S:<ul><li>Competitive compensation</li><li>Generous equity share package</li><li>Medical, dental and vision coverage</li><li>Disability and life Insurance options</li><li>Flex PTO</li><li>Team-building events</li><li>Free catered lunch in the office Monday — Friday</li><li>Free ski pass (We are at the base of Big Cottonwood Canyon)</li><li>Free National Park pass</li><li>Onsite Gym</li></ul>Compensation, Benefits &amp; Perks in Amsterdam:<ul><li>Competitive compensation</li><li>Generous equity share package</li><li>Pension plan</li><li>Paid time off</li><li> Commute Coverage (NS Business Card or Car allowance)</li><li>In Office Lunch</li><li>Fun office-wide activities quarterly!</li><li>Worldwide ski/snowboard pass</li></ul>A Note on Working Onsite:We believe that creativity and cohesion flows best when we are all together. When you’re constantly innovating, transforming whole industries, inventing new products and processes, and creating a more sustainable future through technology—and we are doing all these things—we believe we’re better as a team in-person. When applying, include:<ul><li>A cover letter telling us why you're the perfect candidate for PassiveLogic </li><li>A resume</li><li>Extra mile — include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative</li></ul>Diversity and inclusion Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all—come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers. </div>

PassiveLogic is disrupting the world of automation with the first fully autonomous platform for buildings. We reinvented automation to replace legacy control logic with real-time control decisions at the edge, reducing the world's carbon footprint, while paving the way for smart cities. We bring together the most talented engineers, thinkers and creatives - backed by the world's leading investors - to make the future a reality. Contact us for more information: info@passivelogic.com

Learning Process Engineer

About the Job

About the Company

PassiveLogic

Similar Jobs

Enterprise Cloud Data Engineer

Enterprise Cloud Data Engineer

Tech Lead Machine Learning Engineer

Tech Lead Machine Learning Engineer

Sr Principal Engineer - Data Science

Sr Principal Engineer - Data Science

Principal Model-Based Systems Engineer

Principal Model-Based Systems Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Software Engineer

Software Engineer

Founding ML Engineer (Senior)

Founding ML Engineer (Senior)

Principal Software Engineer, Managed AI

Principal Software Engineer, Managed AI

Senior AI Process Engineer

Senior AI Process Engineer

Director, AI & Insights

Director, AI & Insights