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How much do chrome extension developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for chrome extension developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What are some typical projects or daily tasks performed by a Chrome Extension Developer?

Chrome Extension Developers often spend their days designing and coding new features, fixing bugs, and testing browser extensions to ensure compatibility and performance. They may also review user feedback, implement updates based on evolving Chrome policies, and optimize for security and usability. Collaboration with UI/UX designers, product managers, and sometimes customer support teams is common to align the extension's functionality with user requirements. This variety offers continuous learning and makes the role dynamic for those interested in building impactful web tools.

What does a Chrome Extension Developer do?

A Chrome Extension Developer is responsible for designing, developing, and maintaining browser extensions for Google Chrome. They use technologies like HTML, CSS, JavaScript, and Chrome Extension APIs to enhance browser functionality. Their work often involves interacting with web pages, managing user data, and integrating with third-party services to improve the user experience.

What are the key skills and qualifications needed to thrive in the Chrome Extension Developer position, and why are they important?

To thrive as a Chrome Extension Developer, you need strong proficiency in JavaScript, HTML, CSS, and a solid understanding of browser APIs and web security standards. Familiarity with Chrome Developer Tools, version control systems like Git, and experience using publishing platforms such as the Chrome Web Store are typically important, while formal certifications are less common but can be beneficial. Creativity, problem-solving skills, and effective communication help developers collaborate with clients and team members to deliver user-friendly solutions. Mastery of these technical and interpersonal skills ensures robust, secure, and scalable extensions that meet user and business needs.

What are the most commonly searched types of Chrome Extension Developer jobs in California? The most popular types of Chrome Extension Developer jobs in California are:
What are popular job titles related to Chrome Extension Developer jobs in California? For Chrome Extension Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Chrome Extension Developer jobs in California look for? The top searched job categories for Chrome Extension Developer jobs in California are:
Chrome Extension Developer jobs near you
Infographic showing various Chrome Extension Developer job openings in California as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $108,466 per year, or $52.1 per hour.

Founding Machine Learning Engineer

Composite Sciences, Inc

San Francisco, CA • On-site

$150K - $220K/yr

Full-time

Posted 5 days ago

Job description

About the Role
We're looking for founding Machine Learning Engineers (MLEs) to own and improve our core action models end-to-end - the intelligence that powers Composite's proactive automation platform.
You'll work at the intersection of LLM inference, browser understanding, and low-latency systems, shipping models that need to feel instant while reasoning over complex page state and user context.
Unlike hosted browser solutions that introduce latency and auth barriers, or consumer-focused "AI browsers," we run AI directly through professionals' existing browsers via a Chrome extension, creating instant response times with zero migration or IT friction. This architecture creates unique ML challenges.
This is a high-ownership role on our small, exceptional team where your work ships directly to users and has the potential to tangibly improve the work lives of hundreds of millions of people.
About Composite
College-educated professionals spend 85% of their day as digital factory workers in Chrome, clicking through repetitive browser tasks.
Composite is building the proactive layer for productivity so professionals around the world can focus on meaningful, high-leverage work. We're training action prediction models that run in real time, anticipating what you'll do next based on page context and prior interactions.
We've raised $5.6M in seed funding led by Nat Friedman and Daniel Gross, with participation from Menlo Ventures, Anthropic's Anthology Fund, SVAngel, and other incredible investors.
What You'll Work On
  • Improve the accuracy and latency of our core models across diverse web applications to predict users' intended next actions and execute them faster than manual input
  • Design and optimize LLM inference pipelines, including token caching strategies, streaming architectures, and network-level optimizations between client and server
  • Build evaluation frameworks and data pipelines to measure and improve model quality at scale
  • Experiment with retrieval-augmented approaches using vector databases for contextual memory
  • Develop synthetic data generation pipelines for browser interaction training data
  • Work with DOM states, accessibility trees, and user interaction data to improve browser understanding
  • Ship features end-to-end that go directly to users - this is not a research-only role

What We're Looking For
ML & Systems
  • Strong ML fundamentals with hands-on experience training and deploying models in production
  • Obsessive about latency - experience optimizing inference pipelines to feel instant to end users
  • Deep care about data quality, with the instinct to build tooling that ensures it
  • Experience with LLMs, transformer architectures, or sequence prediction problems
  • Comfortable working across the stack - our system spans a Chrome extension, Electron app, Cloudflare Workers edge proxy, and inference providers
Core Qualities
  • Character: You're someone we'd want to work closely with for the next ten years. You approach challenges with curiosity rather than ego. You're a team player, a great communicator, and aren't afraid to be wrong.
  • Work Ethic: You're energized by hard problems and comfortable working intensely toward ambitious goals.
  • Raw Intelligence: You can quickly understand complex systems and solve novel, ambiguous problems with self-guidance.
Bonus
  • Experience with browser automation, Chrome extensions, or web scraping at scale
  • Familiarity with accessibility tree / DOM parsing for page understanding
  • Background in RL or online learning from user interaction data
  • Experience with vector databases (e.g., Turbopuffer, Pinecone) and hybrid search
  • Full-stack development experience (TypeScript, Node.js, React)

Our Values
  • Disagree and commit: Respectfully challenge decisions you disagree with, even when it's uncomfortable. Don't censor yourself or your ideas. Once a decision is determined, everyone commits wholly.
  • Clear and consistent standards: Decisions are made based on a shared framework that applies for everyone. We don't leave room for "rules for you, not for me" or any perceived hypocrisy.
  • Over-communicate: Nothing slows down a company more than confusion, mis-, or under-communication. Leave no room for ambiguity. Ask dumb questions. Write things down clearly.
  • Health is #1: Stay hydrated. Eat a balanced diet. Sleep 8 hours a night. Exercise frequently. Maintain good social and mental health. Not doing so affects your mood and long-term productivity.
  • Do the right thing.

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