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Kaggle Jobs (NOW HIRING)

Fortinet

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 ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred * Research experience related to graph learning and few-shot learning is preferred * Language requirement: English, Mandarin is ...

Voiceflow

Senior / Staff Software Engineer

San Mateo, CA · On-site

$300 - $500/hr

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 ...

David Joseph & Company

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 ...

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 ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

To be considered please submit your resume and why you think you are the right person to tackle this challenge along with any other experience (Kaggle competitions, etc) you feel relevant.

Autoscience

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 ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

To be considered please submit your resume and why you think you are the right person to tackle this challenge along with any other experience (Kaggle competitions, etc) you feel relevant.

Qubeaxis

AIML Engineer

San Francisco, CA · On-site

$180 - $260/hr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

New

Aledade PBC

Staff AI Researcher

Winners in ACM-ICPC, NOI/IOI, Kaggle. * Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc. Physical Requirements: * Sitting for prolonged periods of time.

Aledade PBC

Staff AI Researcher

Winners in ACM-ICPC, NOI/IOI, Kaggle. * Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc. Physical Requirements: * Sitting for prolonged periods of time.

Nuance Labs

Nuance Research Fellow

Seattle, WA · On-site

... fellow, Kaggle grandmaster, or similar • Open-source contributions to major ML frameworks or research codebases • A track record of independent projects that made something noticeably faster ...

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Kaggle information

See salary details

$46K

$165K

$243.5K

How much do kaggle jobs pay per year?

As of Aug 19, 2026, the average yearly pay for kaggle in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
More about Kaggle jobs

What states have the most Kaggle jobs?

States with the most job openings for Kaggle jobs include:

What job categories do people searching Kaggle jobs look for?

The top searched job categories for Kaggle jobs are:

Kaggle jobs near you
Infographic showing various Kaggle job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 93% Full Time, 1% Part Time, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Intern

Fortinet

Sunnyvale, CA • On-site

$40 - $60/hr

Full-time

Re-posted 29 days ago

Job description

The AI Intern will support  teams with a primary focus on organization, AI workflow development: Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunchandlearn sessions with internal stakeholders, participate in networking activities, and contribute to project showcases that highlight your work.

Key Responsibilities

  • AI workflow development: Creating, testing, and iterating on AI-powered automations and agents.
  • Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor infrastructure performance, detect anomalies, and reduce alert fatigue.
  • Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data to train or refine AI models.
  • Documentation and process improvement: Mapping existing manual workflows, documenting new AI processes, and updating playbooks.
  • Performance evaluation: Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs.

Required Technical Skills

  • Technical Skills: Basic scripting or programming proficiency (Python, JavaScript, Go).
  • AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
  • Tools and Platforms: Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.
  • Soft Skills: Strong problem-solving, attention to detail, proactive "builder" mindset, and the ability to collaborate with cross-functional teams.

Education:

  • Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field.
  • 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 position are expected to be $40 - $60/hr. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.

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