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Colab Jobs in California (NOW HIRING)

Experience with Data Manipulation using Python/Pyspark Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim Interested in Text analytics, Natural Language ...

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

We deploy a wide range of open source ML models for customers, navigating between Docker containers, Colab notebooks, bash scripts, slurm jobs, and more. Our Interview Process We keep our process ...

AI Platform Engineer

San Mateo, CA · On-site

$170K - $205K/yr

Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.). * Demonstrated experience building, integrating, and operating LLM‑powered features ...

Western Regional Sales Manager

Madera, CA · On-site

$100K - $125K/yr

Promote key product lines and initiatives including Customs CoLAB, Poles, GBB, New Products, D2C, and high-margin offerings Market Growth & Expansion * Identify and develop new channels, verticals ...

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Colab information

See California salary details

$34K

$77.2K

$129.8K

How much do colab jobs pay per year?

As of Jul 14, 2026, the average yearly pay for colab in California is $77,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $98,700.00 per year, depending on experience, location, and employer.

What does the CoLab company do?

Colab is a platform that allows users to write and run Python code in a web-based environment, often used for data analysis, machine learning, and research projects. It provides free access to cloud computing resources and integrates with Google Drive for collaboration.

What is the difference between Colab vs Data Analyst?

AspectColabData Analyst
Required CredentialsNo formal degree required; knowledge of Python and data toolsBachelor's degree in data science, statistics, or related field
Work EnvironmentOnline, cloud-based platform for coding and collaborationOffice or remote, analyzing data sets, creating reports
Employer & Industry UsageUsed by data scientists, students, researchers for coding and experimentationEmployed by businesses across industries to interpret data and inform decisions

Colab is a cloud-based platform primarily used for coding and collaboration in data science projects, often by students and researchers. Data Analysts typically have formal education and work in environments focused on analyzing data to generate insights. While Colab is a tool used by Data Analysts, the roles differ in scope and credentials.

How does a Colab (Collaborations) Specialist typically interact with other departments to ensure successful project outcomes?

A Colab Specialist often acts as a bridge between multiple departments, such as marketing, product development, and external partners. They coordinate meetings, manage communication flows, and ensure that all stakeholders are aligned with project goals and timelines. This role requires excellent interpersonal skills and the ability to navigate differing priorities, as well as a proactive approach to problem-solving. Regular collaboration and updates are essential, making teamwork and adaptability key aspects of the job.

What jobs do ADHD people thrive in?

ADHD individuals often excel in jobs that involve creativity, problem-solving, and variety, such as roles in sales, entrepreneurship, emergency services, or technology. Jobs with flexible schedules, hands-on tasks, or opportunities for movement can help them stay engaged and productive.

What are the key skills and qualifications needed to thrive as a Colab (Collaborative Platform) Specialist, and why are they important?

To thrive as a Colab Specialist, you need expertise in collaborative tools (such as Google Colab), proficiency in Python programming, and a strong background in data analysis or machine learning, often supported by a relevant degree. Familiarity with version control systems like Git, cloud computing environments, and commonly used libraries (e.g., NumPy, pandas) is essential. Excellent problem-solving, communication, and teamwork skills help facilitate effective collaboration and project management across distributed teams. These skills are crucial for enabling seamless workflow integration, efficient troubleshooting, and productive teamwork in data-driven environments.

What jobs pay 4000 a week without a degree?

Jobs that can pay around $4,000 weekly without a degree often include roles such as commercial truck drivers, real estate agents, or sales managers, which typically require specialized skills, licensing, or experience. High-paying freelance or entrepreneurial work, like consulting or online business, can also reach this income level with the right client base and skills.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as successful entrepreneurs, top-tier investment bankers, and certain specialized medical professionals like neurosurgeons. These roles typically require extensive experience, advanced skills, and often involve leadership, high responsibility, or performance-based compensation structures.

What are Colab jobs?

Colab jobs typically refer to roles involving the use of Google Colaboratory (Colab), a cloud-based platform for coding and data analysis, mainly in Python. Professionals in these roles often work on machine learning, data science, or research projects, leveraging Colab's capabilities to collaborate with others, run computations, and share results in real time. These jobs may require familiarity with Python, Jupyter notebooks, and cloud computing tools. Colab jobs are popular in academia, research, and industry settings where collaborative data analysis is essential.
What job categories do people searching Colab jobs in California look for? The top searched job categories for Colab jobs in California are:
Infographic showing various Colab job openings in California as of July 2026, with employment types broken down into 66% Full Time, 16% Part Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $77,153 per year, or $37.1 per hour.
Senior Staff Software Engineer, Cloud AI, Full Stack

Senior Staff Software Engineer, Cloud AI, Full Stack

Google

Sunnyvale, CA • On-site

Full-time

Posted 27 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies


Job description

Job Summary:
Google is a leading technology company focused on developing next-generation technologies that transform how users connect and interact with information. They are seeking a Senior Staff Software Engineer for their Cloud AI team to manage project priorities, design and develop software solutions, and ensure engineering excellence across their systems and infrastructure.
Responsibilities:
• Set the overarching technical goals, roadmap, and architectural decisions to ensure Colab continues as the premier notebook platform inside and outside Google.
• Collaborate closely with product, user experience (UX), and partner engineering teams to seamlessly align technical execution with product strategy and goals.
• Oversee the scalability, reliability, security, and overall engineering excellence of all Colab systems and infrastructure.
• Scale team velocity and performance continuously by advocating and implementing the best engineering tools and practices.
• Mentor, guide, and develop executive engineers and technical leads (TLs) actively within the Colab organization to build a strong engineering culture.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 5 years of experience with design and architecture; and testing/launching software products.
Preferred:
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience designing, building, or implementing cutting-edge machine learning (ML) and developer-focused tooling.
• Experience developing and scaling high-performance developer tools, environments, or platforms.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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