Staff Computer Vision / AI Engineer

Staff Computer Vision / AI Engineer

Bright.AI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events-from edge devices and mobile sensors to large-scale cloud systems.

Our team includes world-class engineers and researchers from companies like Microsoft, Amazon, Tesla, and Meta. We are now hiring a Staff Computer Vision / AI Engineer to help shape the future of real-time visual intelligence and deploy next-generation AI systems at scale.

This is an incredible opportunity to work on cutting-edge AI systems that are redefining physical infrastructure industries. You will work on applied research and production-level ML / AI systems that power real-time decision-making across devices and services. This role requires deep expertise in computer vision, machine learning, and AI system design, with a strong focus on solving real-world problems. You'll work alongside world-class engineers and product leaders to define, build, and ship state-of-the-art AI features that are embedded into our platform.

Responsibilities :

• Lead the full lifecycle of Computer Vision and ML model development - from data collection and labeling through deployment and monitoring in production environments.
• Research and implement deep learning models for computer vision tasks including detection, segmentation, classification, tracking, and real-time inference.
• Drive CV projects from prototyping to production, in alignment with product and platform goals.
• Collaborate with product, hardware, and cloud teams to design end-to-end intelligent features across the stack.
• Architect technically robust, scalable, and reliable AI systems in collaboration with cross-functional teams.
• Solve complex physical-world challenges through structured experimentation and performance optimization.
• Prioritize and manage multiple initiatives to ensure model performance, reliability, and compliance.
• Stay at the forefront of ML / AI and foundational models, integrate key innovations into the product roadmap.
• Evaluate emerging AI / ML trends and apply them to enable transformative infrastructure automation solutions.

Required Skills & Expertise :

Educational Background :

Bonus Qualifications :