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Remote Computer Vision Engineer Jobs in Concord, CA

Research Engineer

San Francisco, CA ยท On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

San Francisco, CA ยท On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Data Scientist

Pleasanton, CA ยท Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data ...

Systems Engineer, Perception

San Francisco, CA ยท On-site +1

$196K - $248K/yr

Experience with developing and/or testing machine learning/computer vision/AI systems. The expected ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Software Engineer, Sensor/Imaging

San Francisco, CA ยท On-site +1

$204K - $259K/yr

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Experience working with compute-intensive workloads (DSP, RF, communications, computer vision, etc ... Flexible hybrid or remote work, with significant travel (30-75%) for deployments * Relocation ...

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Remote Computer Vision Engineer information

See Concord, CA salary details

$53.2K

$133.3K

$150.9K

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

As of May 30, 2026, the average yearly pay for remote computer vision engineer in Concord, CA is $133,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $144,300.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

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 in the Remote Computer Vision Engineer position, and why are they important?

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 Concord, CA? The most popular types of Computer Vision Engineer jobs in Concord, CA are:
What job categories do people searching Remote Computer Vision Engineer jobs in Concord, CA look for? The top searched job categories for Remote Computer Vision Engineer jobs in Concord, CA are:
What cities near Concord, CA are hiring for Remote Computer Vision Engineer jobs? Cities near Concord, CA with the most Remote Computer Vision Engineer job openings:
Infographic showing various Remote Computer Vision Engineer job openings in Concord, CA as of May 2026, with employment types broken down into 2% As Needed, 61% Full Time, 32% Part Time, 3% Contract, and 2% Nights. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $133,335 per year, or $64.1 per hour.

AI Engineer: Computer Vision, LLMs & ML (Remote)

Intellus Build

San Francisco, CA โ€ข Remote

Full-time

Posted 14 days ago


Job description

Intellus Build Make Construction Intelligent

Work with ex-Narvar Founding CTO (Unicorn, $1B+). 6 AI patents. Enterprise AI pedigree: Google DCDE, Oracle, Macy's, Walmart Labs.

We're hiring founding team members to transform how the $12T global construction industry buildsfrom residential to mission-critical infrastructure.

AI Engineer: Computer Vision, LLMs & ML

Engineer the AI driving next-generation construction.

Location: Remote-US (San Francisco Bay Area Hybrid Preferred)

Type: Full-time

Compensation: Founding-team equity (12%) + base salary

Construction creates the world around usyet still runs on WhatsApp, spreadsheets, and gut feel. Sites generate terabytes of data dailyyet none of it tells anyone what to do next.

This isn't a data problem. It's an Intelligence problem.

We're building the nervous system for construction. Think Palantir meets Procore, but actually usable by contractors. Our first customers are already begging for access.

You'll be the founding AI engineer, building alongside our founder and construction industry veterans. Async-first. Remote-friendly. Zero bureaucracy. No meetings about meetings. Just ship code that moves dirt and dollars.

You'll turn cutting-edge LLM and vision research into tools that run on dusty job sites and mobile devices.

About the Role

Intellus Build is the Infrastructure of Truththe AI-native operating system that connects dirt to dollars.

The Problem: Construction sites generate terabytes of unstructured data dailyphotos, documents, videos, sensor readings. Currently, this valuable information goes to waste.

Your Mission: Build AI systems that transform construction chaos into actionable intelligence.

What You'll Build

As the founding AI engineer, you'll tackle problems that don't have Stack Overflow answers:

  • Build RAG systems that understand construction terminologyteach AI the difference between 'pour concrete' and 'poor concrete'
  • Deploy computer vision that detects safety violations from grainy phone photos taken at 6 AM
  • Create AI assistants that answer 'What's the status of the Stanford dorm project?' by reasoning across blueprints, contracts, RFIs, and daily photo logs
  • Design real-time progress tracking that works even when construction sites have terrible WiFi
  • Build domain-aware AI that makes construction sites safer and more efficient
  • Build verification systems that track equipment from PO to energization across complex supply chains
Requirements

You are:

  • Recent graduate from top AI program (Stanford AI Lab, MIT CSAIL, or equivalent) OR 23+ years building production ML systems
  • Focused on practical AI applications, not just research demos
  • Comfortable with the full ML stack: data processing model selection deployment monitoring
  • Able to move quicklyyou prototype in hours, not weeks
Must Have
  • Shipped at least one LLM-based application used by real users
  • Experience with RAG, embeddings, and vector databases
  • Strong Python skills plus PyTorch, TensorFlow, or JAX
  • Ability to explain complex ML concepts to non-technical stakeholders
Nice to Have
  • Computer vision experience (YOLO, Segment Anything, etc.)
  • Published ML research or Kaggle competition medals
  • Experience with construction, manufacturing, or industrial datasets
  • Track record of optimizing inference costs
What You'll Work With

We're flexible on the stack, but likely:

  • LLM APIs: OpenAI, Anthropic, Geminimulti-model approach
  • Orchestration: LangChain, LlamaIndex, or custom frameworks
  • Vector stores: Pinecone, Weaviate, or pgvector
  • ML frameworks: PyTorch, TensorFlow, or JAX

You'll help shape these choices as we build.

Why This Role Matters
  • Real-world impact: Your models will help prevent workplace injuries and save lives
  • Unique datasets: Access to proprietary construction data that competitors don't have
  • Greenfield opportunity: Define the AI strategy from day one
  • Domain expertise: Work directly with construction industry veterans
  • Mission-critical scale: Your models will power verification for facilities where downtime isn't an option
  • Pedigree: A Stanford StartX company (elite sub-1% accelerator)
Ready to Build?

You'll complete two quick assessments to show us what you can do.

Top scorers get interviewed. We move fast. No bureaucracy.

Intellus Build is an equal opportunity employer. We welcome candidates from all backgrounds.