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Kaggle Jobs in California (NOW HIRING)

AI Intern

Sunnyvale, CA · On-site

$55.10 - $82.66/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 ...

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 ...

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 ...

AI Intern

Sunnyvale, CA · On-site

$55 - $83/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 ...

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 ...

$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 ...

New

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 ...

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 ...

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 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

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 ...

AIML Engineer

San Francisco, CA · On-site

$180 - $260/hr

Published work, open‑source contributions, Kaggle Top placements, or demonstrable personal AI projects on GitHub. Nice to Have * Understanding of data privacy, responsible AI principles, and model ...

AI Vision Engineer

Sunnyvale, CA · On-site

$120 - $190/hr

Contributions to open‑source projects, technical blogs, research publications, Kaggle competitions, or other demonstrable CV/AI work. * Experience working in startup or high‑growth environments.

AI Vision Engineer

San Francisco, CA · On-site

$150 - $210/hr

Contributions to open‑source projects, technical blogs, research publications, Kaggle competitions, or other demonstrable CV/AI work. * Experience working in startup or high‑growth environments.

Contributions to open-source projects, technical blogs, research publications, Kaggle competitions, or other demonstrable CV/AI work. * Experience working in startup or high-growth environments. What ...

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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 Sep 5, 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:

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.

ML Engineer Intern, AI Platform

Corvic

Mountain View, CA • On-site

$120 - $150/hr

Other

Posted 17 days ago


Job description

Mountain View, CA Summer 2026 Internship $120K – $150K annualized

Join Corvic's AI team for a summer internship working on cutting-edge machine learning systems. You'll contribute to building the intelligence layer that powers enterprise AI applications — from multimodal embeddings to adaptive orchestration.

Responsibilities
  • Assist in developing and evaluating ML models for enterprise use cases
  • Help build data processing and feature engineering pipelines
  • Contribute to benchmarking and evaluation of AI systems
  • Collaborate with researchers on novel approaches to multimodal reasoning
Required Qualifications
  • Pursuing Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
  • Coursework or projects in machine learning, NLP, or data science
  • Familiarity with ML frameworks (PyTorch or TensorFlow)
Nice to Have
  • Experience with LLMs or embedding models
  • Published research or conference papers
  • Kaggle competitions or open-source ML contributions
  • Interest in graph-based machine learning
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