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Kaggle Jobs (NOW HIRING)

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

Engage the data science community through Kaggle, GitHub, and public-facing work. What We're Looking For: * PhD or Master's in a quantitative field, plus 3+ years of experience building and deploying ...

Fortinet

AI Intern

Sunnyvale, CA

$40 - $60/hr

MsoNormal"> 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 ...

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 ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ

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 ...

Alignerr

Senior Machine Learning Expert

Seattle, WA · Remote

$99K - $121K/yr

... tier Kaggle competition results (Grandmaster or Master level) demonstrating deep command of model performance and feature engineeringBackground in AI safety, RLHF, or preference data ...

Voloridge Health

Health Data Scientist

Jupiter, FL

Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. * Experience with relational SQL databases Benefits

Voloridge Health

Health Data Scientist

Jupiter, FL

Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. * Experience with relational SQL databases Benefits

Pindrop

Senior Research Scientist

$100K - $128K/yr

... DFDC, Kaggle). • Deep domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts. Company : Pindrop uses AI-based IVR authentication and anti-fraud ...

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 ...

Datacurve

Product Engineer

San Francisco, CA · On-site

Now we're looking for a Product Engineer to help us scale the platform into the "Duolingo for coding bounties" or "Kaggle but paid" What You'll Do * Build the Quest Builder system: Create reusable ...

Avathon

Data Scientist Intern

Pleasanton, CA · On-site

$30 - $35/hr

Portfolio of projects demonstrating data science skills (GitHub, Kaggle, etc.) * Ability to stay for an extended co-op or full-time opportunity after internship Coding Challenge: As part of the ...

Autoscience

Senior / Staff Software Engineer

Menlo Park, CA · On-site

$300K - $500K/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 ...

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$165K

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How much do kaggle jobs pay per year?

As of Jun 7, 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.

How does a Data Scientist working on Kaggle competitions typically collaborate with team members to achieve better results?

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 Kaggle and what do people do on it?

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 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.

What are the key skills and qualifications needed to thrive as a Data Scientist on Kaggle, and why are they important?

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.
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI/ML Research and Development Intern

Penn State University

State College, PA

$15 - $20/hr

Other

Posted 13 days ago

Penn State University rating

7.9

Company rating: 7.9 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

173rd of 534 rated colleges and universities

Job description

Graduate Student Intern

We are seeking graduate students with artificial intelligence/machine learning (AI/ML) experience to join the Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding.

Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of this position, the candidate may:

  • Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
  • Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
  • Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
  • Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs.

Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelors degree and be enrolled in a masters or higher level degree program. Experience in machine learning is preferred.

Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided.

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