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Colab Jobs in California (NOW HIRING)

Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim * Interested in Text analytics, Natural Language processing, Classification and Clustering * Significant ...

Author clear, reproducible reference analyses in Jupyter Notebooks or Google Colab . * Build tasks for fair comparison between analytical approaches, backed by spot checks and recommendations.

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 ...

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

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

... Colab for interactive analysis and modeling.Additional Responsibilities & Preferred Qualifications:EOE, including disability/vets.The base pay for this role will depend on where you work and the ...

... Colab for interactive analysis and modeling. Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for this role will depend on where you work and the ...

... Colab for interactive analysis and modeling. Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for this role will depend on where you work and the ...

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

Experience in Jupyter Notebooks and/or Google Colab for interactive analysis and modeling. Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for ...

Colab information

See California salary details

$34K

$77.2K

$129.8K

How much do colab jobs pay per year?

As of Aug 17, 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 is a colab?

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.

How does a colab 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 are the key skills and qualifications needed to thrive as a colab 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 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.

What are popular job titles related to Colab jobs in California?

For Colab jobs in California, the most frequently searched job titles are:

Infographic showing various Colab job openings in California as of August 2026, with employment types broken down into 46% Full Time, and 54% Contract. Highlights an 100% In-person job distribution, with an average salary of $77,153 per year, or $37.1 per hour.

Senior Staff Software Engineer, Cloud AI, Full Stack

Google Inc.

Sunnyvale, CA • On-site

$262 - $365/hr

Other

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies


Job description

Senior Staff Software Engineer, Cloud AI, Full Stack

Google Sunnyvale, CA, USA

Required Qualifications
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with design and architecture; and testing/launching software products.
Preferred Qualifications
  • 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.
Responsibilities
  • Set 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.
  • Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software solutions.
Compensation & Benefits

US: $262,000 - $365,000 (USD) + 25% bonus target + equity + benefits.

Learn more about benefits at Google.

Equal Employment Opportunity Statement

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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