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Staff Software Engineer (Machine Learning) at VERSES. Staff Software Engineer (Machine Learning) . Remote: North America . VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the Wisdom and Genius of Nature. We are a distributed, diverse, and inclusive workforce that aspires to do our best work on important problems with exceptional people.. We’re looking for trailblazers and problem solvers passionate about tackling important global-scale challenges so if that sounds appealing, let’s imagine a smarter world together.. 🚀. Join Our Adventure!. At VERSES, we're shaping the future of computing with our natural computing platform, Genius. We're looking for a Staff Software Engineer (ML focused) to our product team and make a direct impact on the development of our agentic enterprise solution.. ✍️Role and Responsibilities. As a Staff Software Engineer (ML focused) you will:. . Migrate research concepts and ideologies (ie Active Inference) into production software. . Contribute to the design and development of robust, scalable, ML infrastructure with emphasis on Bayesian inference and uncertainty quantification.. . Implement active inference agents and models to support adaptive, goal-directed behavior in dynamic environments. . Optimize end-to-end ML pipelines from data ingestion and preprocessing to deployment and monitoring. . Ensure observability, reproducibility, and reliability of models throughout the development lifecycle.. . Rapidly prototype systems for live demonstration, applying cutting-edge technologies to connect the physical and digital worlds. . Collaborate with cross-functional teams, including data scientists, researchers, designers, and other engineers, to define software requirements and integrate probabilistic models into production systems.. . Actively participate in technical discussions, offer mentorship, and ensure adherence to coding standards and best practices through active participation in code reviews.. . Work in a small and tight-knit agile innovation unit running ahead of the main product team. . Develop technical documentation and participate in knowledge sharing sessions. . 🎓Essential Qualifications . . At least 10 years of experience in software engineering, including 3+ years in ML-focused roles.. . Strong expertise in probabilistic modeling and Bayesian inference, including a solid understanding of variational inference . . Experience designing ML pipelines using tools like Airflow, Kubeflow, or MLflow.. . Fluency in Python and experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX). . Experience with agile software development methodologies. . Education & Technical Experience. . Bachelor's degree in Computer Science or a related field or equivalent years of work experience. . Experience with reinforcement learning or control theory frameworks.. . Experience with core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference. . Track record of deploying ML models in high-availability systems (real-time inference, edge computing). . Experience with probabilistic programming frameworks to solve real world inference and decision making problems.. . Communication and Soft Skills. . Excellent problem-solving and analytical skills. . Strong written and verbal communication skills. . A passion and spirit of innovation. . Company Location: United States.