Computer Vision Jobs in San Diego
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Search Results - Computer Vision Jobs in San Diego
ValueLabs-San Diego-
Responsibilities:
• Design, develop, train, evaluate, and deploy production-grade machine learning and deep learning models for computer vision applications
• Build end-to-end machine learning pipelines covering data ingestion, preprocessing...
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Koh Young America, Inc.-San Diego-
are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries...
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University of San Diego-San Diego-appcast.io-
in statistics, AI ethics, deep learning, computer vision, large language models (LLMs), and agentic AI systems. Applicants with strong industry experience, applied research experience, or prior teaching experience in higher education are especially encouraged...
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Brooks Automation-San Diego-
Overview
In this role you will develop and deploy computer vision solutions for Brooks' robotic systems, focusing on image processing, model optimization, and system integration. You will work with cross-functional teams to ensure robust...
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BESTPEGASUS LLC-San Diego-
and scale high-quality data for AI and machine learning applications.
Our capabilities span AI/ML data operations, data collection, data annotation and labeling, multimodal data, computer vision, autonomous systems, robotics, Physical AI, and AI-ready...
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Gainwell-San Diego-
compliance with healthcare regulations and data privacy standards
• Identify opportunities to automate workflows with AI-driven approaches
Key requirements
• 5+ years of AI/ML engineering experience
• Hands-on with GenAI, NLP, deep learning, and computer...
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Mercor-San Diego-
Summers, and Jack Dorsey.
Position: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote
Role Responsibilities
• Train image classifiers and generative image models...
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Intuitive Surgical-San Diego-
robotics, computer vision, or autonomous systems
• Proficient in Python and at least one other language (C++, Java, or TypeScript)
• Experience building data-intensive applications and production-quality backend/platform systems
• Strong understanding...
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Tera AI-San Diego-
Qualifications
• Experience deploying and managing autonomy software in production
• Knowledge of latest computer vision techniques and geospatial AI
• Experience shipping embedded AI across platforms (e.g. Nvidia Orin NX or Qualcomm)
• Knowledge of navigation...
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FaceTec, Inc.-San Diego-
software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Knowledge of AI, Machine Learning, and Computer Vision...
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Royalty Hospitality Staffing-San Diego-workable.com-
You’ll work alongside teams across vehicle engineering, computer vision, infrastructure, ride operations, and more—giving you a firsthand look at the technology and operations behind autonomous mobility.
What You’ll Do
• Drive vehicles for approximately...
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FaceTec, Inc.-San Diego-
software, and bug tracking software.
• Must be fantastic and skilled using a computer.
• Must be a proficient in a variety of software-related areas, including C++, Java, Android, iOS, Web Programming, Server-side programming, HTML/CSS/JS/TS, debugging...
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Stealth AI Startup-San Diego-
that translate into adoption
Where the Technology Shows Up
Think smart cameras and computer vision, industrial automation and sensors, robotics, always-on voice, intelligent IoT, and next-generation embedded devices, anywhere AI needs to operate locally...
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Epitone, Inc.-San Diego-
Vector CANoe/CANalyzer, PCAN, or DBC files.
• Experience with eye tracking, computer vision (for example, OpenCV), or camera and sensor integration.
• Experience with Unity (C#) or graphics programming (OpenGL, Vulkan, or shaders...
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UnitedHealth Group-San Diego-
and/or LangGraph)
• Cloud-native ML infra, containers (Docker/Kubernetes), ML pipelines, MLOps on AWS/Azure/GCP
• Deep ML/statistical methods and domain expertise in NLP or Computer Vision
• Strong Python programming and DL frameworks (PyTorch, TensorFlow, Keras...
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