Job Number: P24F13
We are seeking a research engineer to advance visual intelligence in human-AI coadaptive systems. The role focuses on developing algorithms that enable AI to interpret complex real-world scenes, including objects, people, intentions, and interactions. This position combines applied research with practical system building, ensuring that the developed algorithms are technically strong, reliable, interpretable, and adaptable for meaningful human collaboration.
San Jose, CA

MINIMUM QUALIFICATIONS

• M.S. in computer science, electrical engineering, robotics, or related field.
• Expertise in machine learning for visual intelligence, perception, spatial reasoning, or behavior understanding.
• Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
• Strong programming skills in Python and C++.
• Experience building scalable, testable research prototypes.
• Excellent written and verbal communication skills.

BONUS QUALIFICATIONS

• Hands-on experience with multimodal data (e.g., video, audio, text).
• Demonstrated ability to integrate technical methods with human-centered considerations (e.g., interpretability, fairness, or user trust).
• Publication record in visual intelligence, perception, or machine learning venues.
• Experience collaborating in interdisciplinary teams spanning technical and human-centered domains
• Working experience with HRI

YEARS OF WORK EXPERIENCE REQUIRED

3+ years

• Design and implement algorithms for scene and behavior understanding.
• Develop models that capture attributes, relationships, and contextual cues in human environments.
• Create learning mechanisms to identify critical agents and signals that influence behavior.
• Build and integrate research prototypes and software systems.
• Define and evaluate metrics for accuracy, interpretability, and trustworthiness.
• Contribute to publications, patents, and prototypes demonstrating technical and practical value.