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Remote Computer Vision Engineer Jobs in California

Amat

CV/ML/DL Algorithm Developer

Santa Clara, CA · On-site +1

$184K - $253K/yr

Evaluate and develop computer vision and machine learning / deep learning algorithms for defect ... Knowledge of GPU programming using CUDA or OpenCL * Working knowledge with AI coding tools is ...

Doxel

Staff Software Engineer, Full Stack

Bodega Bay, CA · Remote

$200K - $250K/yr

Doxel brings computer vision and AI to construction, giving teams real-time visibility into ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

Amat

CV/ML/DL Algorithm Developer

Santa Clara, CA · On-site +1

$161K - $221K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Evaluate computer vision and machine learning / deep learning algorithms for defect detection ...

Zignal Labs

Director of Engineering

San Francisco, CA · On-site +1

$215K - $235K/yr

Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers ... e.g., LLMs, computer vision, narrative detection) within high-performance, enterprise-ready ...

Homesight Inc

Direct the application of machine learning, particularly computer vision, to our product and ... You should have: * 8+ years experience within data engineering and/or science with 5+ years of ...

Doxel

Full Stack Software Engineer

Bodega Bay, CA · Remote

$150K - $165K/yr

Doxel brings computer vision and AI to construction, giving teams real-time visibility into ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

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All JobsComputer Vision Engineer JobsRemote Computer Vision Engineer JobsRemote Computer Vision Engineer Jobs in California

Remote Computer Vision Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do remote computer vision engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote computer vision engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a remote computer vision engineer?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer vision engineer?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in California?

The most popular types of Computer Vision Engineer jobs in California are:

What are popular job titles related to Remote Computer Vision Engineer jobs in California?

For Remote Computer Vision Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Computer Vision Engineer jobs in California look for?

The top searched job categories for Remote Computer Vision Engineer jobs in California are:

What cities in California are hiring for Remote Computer Vision Engineer jobs?

Cities in California with the most Remote Computer Vision Engineer job openings:

Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Sr Machine Learning Engineer

Santa Clara, CA • On-site, Remote

Blue River Technology
See more jobs at Blue River Technologyexternal

$122K - $168K/yr

Full-time

Posted 15 days ago

Job description

Title and Location: Sr Machine Learning Engineer in Santa Clara, CA. 

Job Responsibilities

  • Implement deep-learning models and frameworks for scene segmentation, depth estimation, active learning, and the development of situational awareness for autonomous vehicles operating in construction and agriculture environments.
  • Build and evaluate machine-learning models using data from multiple sensor modalities, including vision, radar, and thermal cameras, and assess trade-offs in accuracy, robustness, and latency.
  • Research and develop new methods to improve detection performance and increase processing speed.
  • Collaborate with robotics engineers to transition algorithms from desktop and server-class systems to real-time field-deployed robotic platforms.
  • Work with systems and software engineers to design and maintain data-processing and annotation pipelines that support continuous system monitoring, evaluation, and improvement.

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field plus 1 year and 6 months of related experience.
  • Required skills:
    • Train and optimize computer vision models for object detection, semantic segmentation, and monocular/stereo depth estimation using supervised and self-supervised learning, including loss function customization and multi-scale model training (1 yr, 6 mos).
    • Build and evaluate deep learning models using PyTorch and TensorFlow, implementing transfer learning, custom training loops, distributed training, gradient-based optimization, and hyperparameter tuning for large-scale image datasets (1 yr, 6 mos).
    • Evaluate model inference performance and runtime behavior across heterogeneous hardware platforms, including high-performance computing (HPC) GPU environments, local NVIDIA GPU development systems, and VPU-based inference on production deployment machines, to ensure real-time execution requirements are met (1 yr, 6 mos).
    • Design and implement end-to-end ML pipelines for data ingestion, preprocessing, model training, validation, experiment tracking, and deployment using reproducible workflows and version-controlled environments (1 yr, 6 mos).
    • Integrate and validate synthetic image datasets for computer vision model training, including domain alignment, data normalization, camera parameter adjustment, and evaluation of generalization performance against real-world datasets (1 yr, 6 mos).
    • Research and implement emerging computer vision architectures and training strategies, including transformer-based backbones, advanced loss functions, and optimization techniques, to improve model accuracy and inference efficiency (1 yr, 6 mos).
    • Perform dataset curation, large-scale image preprocessing, exploratory error analysis, and implement active learning strategies based on model uncertainty and diversity sampling to improve training data quality and reduce false positives (1 yr, 6 mos).
  • 5% domestic travel required to visit testing facilities and customer sites. May work remotely; periodic time in office required; must live within commuting distance of office.

The US annual base salary range for this position is $149,365 - $275,000, along with eligibility for Blue River's bonus and benefit programs.

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