Senior Computer Vision/AI Engineer

BrightAI Corporation; Palo Alto (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

An innovative AI company based in California seeks a Senior Computer Vision / AI Engineer to develop state-of-the-art visual intelligence systems. Ideal candidates will have over 7 years of experience in computer vision and machine learning, and strong Python programming skills. The role emphasizes collaboration across teams and tackles complex real-world challenges through advanced AI solutions. Applicants with a PhD focusing on ML/AI in computer vision will be prioritized. Join a world-class team making significant advancements in AI technology.

Qualifications

• 7+ years of experience in computer vision and ML, with expertise in deep learning.
• Experience delivering production-grade AI solutions in fast-paced environments.
• Hands-on technical skills with deep learning frameworks and strong programming skills in Python.

Responsibilities

• Lead the full lifecycle of Computer Vision and ML model development.
• Research and implement deep learning models for computer vision tasks.
• Drive CV projects from prototyping to production.

Skills

Computer vision expertise

Machine learning

Deep learning frameworks (PyTorch, TensorFlow)

Python programming

Problem-solving skills

Team collaboration

Communication skills

Education

PhD in Electrical Engineering, Computer Science, or related field

Tools

AWS

GCP

Azure

Docker

Job description

BrightAI 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 Senior 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

• 7+ years of experience in computer vision and ML, with deep expertise in applied deep learning.
• Proven ability to deliver production‑grade AI/ML solutions in fast‑paced, real‑world environments.
• Full‑stack ML development lifecycle experience: data labeling and curation, model training, evaluation, optimization, and deployment.
• Hands‑on technical skills with DL frameworks (PyTorch or TensorFlow) and strong programming skills in Python (C++ is a plus).
• Hands‑on experience with CNNs, YOLO, Vision Transformers, model compression, and real‑time inference optimization.
• Hands‑on experience deploying models in cloud platforms (AWS/GCP/Azure) and edge devices using TensorRT, ONNX, or TFLite.
• Strong problem‑solving and analytical skills, with the ability to convert ambiguity into actionable insights.
• Excellent teamwork and collaboration skills; ability to work cross‑functionally with software, hardware, and product teams.
• Effective communicator, capable of conveying complex technical concepts to both technical and non‑technical stakeholders.
• Self‑motivated, proactive, and thrives in a dynamic, fast‑paced environment.

Educational Background

• PhD in Electrical Engineering, Computer Science, or a related field with a focus on ML/AI for Computer Vision.
• Demonstrated research experience in CV with a strong record of publications and/or patents.
• Experience applying vision‑based AI to real‑time IoT systems or edge intelligence platforms.

Bonus Qualifications

• Applied experience in CV for surveillance, physical‑world perception problems, remote sensing, or structural health monitoring.
• Proficiency in Linux/Ubuntu environments; scripting and tooling around data and deployment workflows.
• Familiarity with Agile development practices and tools such as JIRA, Git, Confluence.
• Experience with embedded systems, Docker containers, or Linux‑based deployment pipelines.
• Prior experience in startup or high‑growth environments building zero‑to‑one AI solutions.