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Kaggle Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025) and the first AI system to win a Kaggle medal. We are passionate about pushing the boundaries of ...

Backend Engineer

San Francisco, CA · Hybrid

$120K - $250K/yr

A competitive background in any domain (sports, esports, chess, competitive programming, Kaggle) that signals exceptional ability * Prior founding or early-startup experience, including founding-team ...

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 ...

Senior / Staff Software Engineer

Menlo Park, CA · On-site

$144K - $190K/yr

  • PTO

Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025) and the first AI system to win a Kaggle medal. We are passionate about pushing the boundaries of ...

... Kaggle competitions * Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale * (Nice to have) Experience of ...

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Showing results 1-20

Kaggle information

See California salary details

$45.4K

$162.9K

$240.3K

How much do kaggle jobs pay per year?

As of Aug 18, 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.
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

Google Inc.

Mountain View, CA • On-site

$219 - $305/hr

Other

Posted 13 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 245 rated software companies


Job description

corporate_fare DeepMind place Mountain View, CA, USA

  • link Copy link
  • Bachelor's degree or equivalent practical experience.
  • 13 years of experience in developer marketing, developer relations, or a similar field.
  • 5 years of experience managing and leading teams, including cross-functional collaboration and vendor/agency management.
  • Experience leading go-to-market strategies for developer or researcher-facing tools, APIs, or platform ecosystems.
Preferred qualifications:
  • Expertise in the modern AI ecosystem, including an opinionated understanding of LLMs, agentic frameworks, and model evaluation methodologies.
  • Exceptional storytelling ability with experience translating deeply technical concepts into compelling narratives for researchers and developers.
  • Ability to operate in a fast-paced, agile environment with a bias for action.
  • Strong existing networks within AI labs, research organizations, or open-source AI communities.
About the job

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

  • Define and execute a holistic strategy for Kaggle's public presence—including brand, content, community, and go-to-market—in 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.

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 .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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