Senior Computer Vision/AI Engineer

Senior Computer Vision/AI Engineer 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 string 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 team work 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 Eng., 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 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

{
  "content_hash": "d9898d4686c92fb2d68ed7f2ac06261cbf8d23cfce2c812f10fe564edc97965d",
  "source_hash": "8eba9c2491be6f9f5c41aaac84fe278f2cb2bf77b7a06e456ea8d7ca192d15dd",
  "last_changed_at": "2026-05-29T22:41:17.356Z",
  "active_status": "active"
}

{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "Palo Alto, CA",
    "city": "Palo Alto",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-22T07:41:41.308Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Palo Alto, CA",
      "city": "Palo Alto",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "title": "Senior Computer Vision/AI  Engineer",
  "offices": [
    {
      "id": 4006090004,
      "name": "California",
      "location": "California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Palo Alto, CA"
  },
  "metadata": [],
  "updated_at": "2026-03-06T14:14:32-05:00",
  "departments": [
    {
      "id": 4013104004,
      "name": "Engineering",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "BrightAI Corporation",
  "requisition_id": 4962328004,
  "first_published": "2025-08-04T14:16:14-04:00",
  "application_deadline": null
}