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AI Researcher Perception - Tavus
Research Engineer
Conduct cutting‑edge perception research to advance AI systems, designing and implementing novel computer‑vision models using Python, PyTorch, and TensorFlow while publishing results and collaborating across teams.
About the role
Key Responsibilities
- Design, develop, and evaluate state‑of‑the‑art perception algorithms for visual understanding, object detection, and scene segmentation.
- Implement research prototypes in Python using deep‑learning frameworks such as PyTorch and TensorFlow, ensuring reproducibility and scalability.
- Collaborate with cross‑functional teams to integrate perception models into larger AI products and provide technical guidance.
- Publish findings in top conferences or journals and contribute to the scientific community through open‑source releases.
- Stay current with emerging trends in computer vision, deep learning, and related fields, and propose innovative research directions.
Requirements
- Ph.D. or strong research experience in Computer Vision, Machine Learning, or a closely related field.
- Proficiency in Python and deep‑learning libraries (PyTorch, TensorFlow) with a track record of publishing research.
- Hands‑on experience building and training large‑scale perception models, including data pipeline creation and model optimization.
- Ability to translate complex research concepts into production‑ready code and collaborate effectively with engineering teams.
- Strong problem‑solving skills, scientific rigor, and a passion for advancing AI perception capabilities.
Skills
pythonpytorchtensorflowcomputer visiondeep learningmachine learning