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Elio is building next-generation adaptive sensing systems that combine advanced optics and AI to transform light into structured, actionable information. The platform uses real-time machine learning to extract rich physical signals beyond traditional imaging, enabling deeper insight and better decision making across biosciences, robotics, semiconductors, and other domains where understanding complex physical environments is critical.
You will join the AI & Data Science team as an AI Research Engineer, working at the intersection of computer vision, representation learning, and reinforcement learning. Your focus will be on turning cutting-edge research into technologies that power breakthrough imaging and sensing applications.
Key responsibilities include:
- Research, develop, and ship novel AI algorithms for Elio's adaptive sensing platform
- Design, build, and validate modeling and analysis pipelines for imaging and sensing applications
- Own technical problems end to end: hypothesis formation, experimentation, analysis, and clear communication of results
- Collaborate across scientific and engineering teams to translate research into scalable production-grade capabilities
- Track emerging AI research and bring in ideas that strengthen Elio's technical edge
This is a full-time, on-site position based in San Mateo, CA.
QUALIFICATIONS:
- Ph.D. in Computer Science, Electrical Engineering, or a related field
- 8+ years of experience in AI/ML research, engineering, or data science
- Demonstrated depth in at least one of: computer vision, representation learning, or reinforcement learning
- Strong publication record in computational methods, machine learning, or related research areas
- Expert-level Python and PyTorch skills, with proficiency in the modern data science ecosystem (e.g., pandas, scikit-learn)
- Experience with cloud infrastructure, preferably AWS, is a plus
- Excellent communication skills and ability to thrive in a collaborative, fast-paced startup environment
