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Computer Vision Machine Learning Jobs in California

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi-modal models and computer vision systems, driving performance, efficiency, and real-world ...

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Computer Vision Machine Learning information

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$12

$19

$29

How much do computer vision machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for computer vision machine learning in California is $19.66, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Machine Learning Engineer, and why are they important?

To thrive as a Computer Vision Machine Learning Engineer, you need strong foundations in mathematics, programming (especially Python or C++), and expertise in machine learning algorithms, typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch and experience with image processing libraries are essential, along with knowledge of version control systems. Strong problem-solving, collaboration, and communication skills help you translate complex requirements into effective models and work efficiently in multidisciplinary teams. These skills ensure the development of robust computer vision solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Computer Vision Machine Learning engineers when deploying models to production environments?

Computer Vision Machine Learning engineers often encounter challenges such as ensuring models perform well on real-world, diverse image data that may differ from training datasets. Managing computational efficiency and latency is crucial, especially for real-time applications. Additionally, integrating models with existing software systems and maintaining accuracy as data evolves can be complex. Collaboration with data engineers, software developers, and product teams is essential to address these challenges and ensure smooth deployment and monitoring.

What is a Computer Vision Machine Learning Engineer?

A Computer Vision Machine Learning Engineer is a professional who develops algorithms and models that enable computers to interpret and understand visual data from the world, such as images and videos. They use techniques from machine learning, deep learning, and image processing to build systems capable of tasks like object detection, image classification, facial recognition, and scene understanding. Their work is critical in fields such as autonomous vehicles, healthcare imaging, security, and augmented reality. These engineers typically have strong skills in programming, mathematics, and data analysis, and often work closely with data scientists and software developers.

What is the difference between Computer Vision Machine Learning vs Data Scientist?

AspectComputer Vision Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataBusiness, finance, healthcare sectors analyzing diverse data sets
Industry UsageDeveloping visual recognition systems, image processingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve machine learning, Computer Vision Machine Learning specializes in visual data and image processing, whereas Data Scientists work with a broader range of data types to generate insights across various industries.

What are popular job titles related to Computer Vision Machine Learning jobs in California? For Computer Vision Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Vision Machine Learning jobs in California look for? The top searched job categories for Computer Vision Machine Learning jobs in California are:
What cities in California are hiring for Computer Vision Machine Learning jobs? Cities in California with the most Computer Vision Machine Learning job openings:
Computer Vision Machine Learning jobs near you
Machine Learning Computer Vision Intern

Machine Learning Computer Vision Intern

Syntiant

Redwood City, CA

Temporary

Posted 25 days ago

Job description

Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Computer Vision Intern expand our computer vision detection capabilities through strategic framework diversification and cutting-edge algorithm exploration.

We have a robust, production-proven detection pipeline implemented in C++ that consistently delivers high-quality results in our live systems. To accelerate our research initiatives and explore next-generation detection methodologies, we're creating a parallel PyTorch-based research pipeline. This exciting initiative will enable our team to rapidly prototype and validate innovative detection approaches while maintaining our proven production standards.

PyTorch is the industry-leading framework for computer vision research and experimentation. By leveraging PyTorch's rich ecosystem and flexibility, this project will unlock opportunities to integrate state-of-the-art detection architectures and explore novel approaches that could define the future of our detection capabilities.

This internship offers the unique opportunity to work with both production-grade systems and cutting-edge research, directly shaping the future of our computer vision capabilities while gaining invaluable experience in both software engineering and AI research.

Requirements

Specific Duties and Responsibilities:

  • Architecting a PyTorch-based detection pipeline inspired by our proven C++ system.
  • Implementing and validating detection algorithms using modern deep learning frameworks.
  • Ensuring seamless integration and output consistency across platforms.
  • Experimenting with cutting-edge detection architectures (YOLO, R-CNN variants, Transformers).
  • Pioneering detection improvements and performance optimizations.
  • Contributing to our research roadmap with innovative detection methodologies.
  • Documenting breakthrough findings and technical recommendations.

Qualifications, Education, and Experience Required:

  • Candidate pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field with hands-on experience in computer vision and PyTorch.
  • Industry work experience is not required, but it would be good to have.

Benefits

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

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