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Kaggle Jobs in California (NOW HIRING)

h2o.ai

Senior AI Engineer

San Francisco, CA · On-site

$180 - $280/hr

You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos--into production, into workflows, and into measurable business outcomes. This ...

Fortinet, Inc.

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Prior experience with AI projects (personal, academic, or Kaggle competitions). Wage ranges are based on various factors including the labor market, job type, and job level. Earnings for this ...

Fortinet

AI Intern

Sunnyvale, CA

$40 - $60/hr

Prior experience with AI projects (personal, academic, or Kaggle competitions). Wage ranges are based on various factors including the labor market, job type, and job level. Earnings for this ...

Fortinet, Inc.

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Prior experience with AI projects (personal, academic, or Kaggle competitions). Wage ranges are based on various factors including the labor market, job type, and job level. Earnings for this ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

Kaggle experience is a plus. Preferred Technical Experience * Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online ...

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All JobsKaggle JobsKaggle Jobs in California

Kaggle information

See California salary details

$45.4K

$162.9K

$240.3K

How much do kaggle jobs pay per year?

As of Aug 27, 2026, the average yearly pay for kaggle in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is Kaggle?

Kaggle is an online platform that hosts data science and machine learning competitions, as well as datasets and educational resources. Users, often called 'Kagglers', participate in challenges by building predictive models using real-world data. Kaggle also offers a collaborative environment where users can share code, discuss problems, and learn from each other. Many data scientists and machine learning enthusiasts use Kaggle to improve their skills, showcase their expertise, and connect with the global data community.

What skills and qualifications are needed to succeed as a data scientist on Kaggle?

To thrive as a Data Scientist on Kaggle, you need a solid background in statistics, machine learning, data analysis, and proficiency in programming languages such as Python or R. Experience with technical tools like Jupyter Notebooks, data visualization libraries (e.g., Matplotlib, Seaborn), and familiarity with Kaggle's platform and competition formats are essential. Strong problem-solving abilities, creativity, and effective communication of results set top performers apart. These competencies are crucial for developing innovative solutions, sharing insights, and excelling in competitive data science environments.

How do data scientists collaborate with team members in Kaggle competitions?

Data Scientists participating in Kaggle competitions often work in teams to leverage diverse skill sets and perspectives. Team members share code, discuss problem-solving strategies, and review each other's models to find the most effective approaches. Collaboration usually happens through online communication platforms, version control systems like GitHub, and shared notebooks on Kaggle itself. This teamwork not only enhances solution quality but also provides valuable learning and networking opportunities within the data science community.

What is the difference between Kaggle vs Data Scientist?

AspectKaggleData Scientist
Required CredentialsNone mandatory; competitive programming skills often preferredTypically requires a degree in data science, statistics, or related fields
Work EnvironmentOnline platform, competitions, and community-based projectsCorporate or research settings, working on real-world data problems
Employer & Industry UsageUsed by individuals for skill development and competitionsEmployed by companies across industries for data analysis and modeling
Common Search & Comparison IntentYesYes

While Kaggle is primarily an online platform for data science competitions and skill development, Data Scientists work within organizations to analyze data and build models for business solutions. Kaggle can be a stepping stone to a Data Scientist role, but they are distinct in their work environment and employment context.

Can Kaggle get you a job?

Kaggle is a platform for data science competitions and skill development, which can help showcase your abilities to potential employers. Success depends on your performance, portfolio, and how well you communicate your skills to hiring managers; it is often used as a supplement to a strong resume and relevant experience.

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

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

What job categories do people searching Kaggle jobs in California look for?

The top searched job categories for Kaggle jobs in California are:

Kaggle jobs near you
Infographic showing various Kaggle job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Head of AI Ecosystem, Kaggle, DeepMind

Mountain View, CA • On-site

Google
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Free food

Great coworkers

People enjoy working here

Learn more about Googleexternal

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

Job description

Head Of AI Ecosystem

Within Google DeepMind, Kaggle operates as an independent brand with a vital mission: to help the world understand what works (and what doesn't) in AI. We empower a community of researchers, developers, and frontier labs by providing the ultimate arena to learn, build, and evaluate the next generation of AI systems. Kaggle is at an inflection point. We're evolving from static ML competitions to becoming the trusted industry standard for public AI evaluation with community at its heart. As Head Of AI Ecosystem at Kaggle, you will be at the forefront of this transformation. You will lead the strategy and execution for ambitious campaigns that shift perceptions of Kaggle and massively amplify our mission of discovering "what works" in frontier AI to benefit humanity. You will own how and where we tell the story of Kaggle's brand, product, and community to the world with authenticity and technical excellence.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $219,000 - $305,000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google.

Responsibilities:

  • Define and execute a holistic strategy for Kaggle's public presenceincluding brand, content, community, and go-to-marketin close partnership with Kaggle's leadership and Google DeepMind stakeholders.
  • Build a content engine that establishes Kaggle as the authoritative voice on AI evaluation, spanning blogs, social media, video, newsletters, and events.
  • Own the GTM playbooks for Kaggle's key moments, such as benchmark launches, competition announcements, model releases, and product launches.
  • Define how Kaggle earns trust and builds relationships with the AI research community, developer ecosystem, and frontier labs.
  • Oversee daily marketing operations, including email programs, social channel management, campaign execution, and analytics, while managing external vendors and agencies.

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