Andromeda builds personalised robot companions. We are pioneering the future of human-robot interaction where no playbook exists. We are backed by investors including San Francisco-based Forerunner Ventures, Rethink Impact and Main Sequence Ventures. We're working towards robots that feel genuinely alive, think Disney-level emotional connection. We have real customers, real end-users and have the runway to investigate and demonstrate technical breakthroughs.
As a Senior Machine Learning (ML) Engineer in Applied Research, you'll work at the intersection of machine learning, human-robot interaction, animation, and health. You'll be a founding member of the ML team with a primary focus on applied research - we have dedicated teams for robotics engineering, software development, and developer velocity to support the production side. You'll have significant autonomy to shape your focus areas. You'll help build our ML applied research culture, practices, and infrastructure.
We're looking for engineers who thrive in ambiguous, high-impact environments where your decisions shape the company's technical direction. You'll own a large part of the applied research roadmap. Andromeda's ML research agenda spans real-time conversational AI, biometric user recognition, emotional and social awareness, and expressive gesture generation. You'll drive a specific research stream while collaborating with future team members who'll tackle the others.
We follow a rapid iteration approach: leverage open source foundations, extend with novel research, and build proprietary breakthroughs.