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Kaggle Jobs (NOW HIRING)

h2o.ai

AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

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. What You ...

h2o.ai

AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

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. What You ...

h2o.ai

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

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 ...

h2o.ai

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

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

$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 ...

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

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 ...

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

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 ...

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 ...

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All JobsKaggle Jobs

Kaggle information

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$46K

$165K

$243.5K

How much do kaggle jobs pay per year?

As of Jun 30, 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 June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 84% Physical, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Talent Sourcer - Machine Learning & Quantitative Research

IMC

Chicago, IL

Other

Posted 21 days ago

Key responsibilities

  • Develop and execute creative sourcing strategies to identify and engage experienced talent in Machine Learning and Quantitative Research.

  • Build and maintain strong pipelines of passive candidates across key technical markets.

  • Conduct market mapping and talent landscape analysis to support hiring strategy and workforce planning.

Job description

As an ML and Quantitative Research Sourcer, you will be focused on identifying and engaging experienced talent across Machine Learning and Quantitative Research, mapping competitive talent landscapes, building relationships with high-caliber technical professionals, and developing creative sourcing strategies that strengthen IMC's presence within the broader ML and quantitative communities. You will partner closely with recruiters and hiring managers to deliver strong pipelines of experienced candidates, assess talent against our technical and cultural standards, and provide market insights that inform hiring strategy.

Your Core Responsibilities

  • Partner with recruiters and hiring managers to understand hiring needs across Machine Learning and Quantitative Research functions
  • Develop and execute creative sourcing strategies to identify and engage experienced talent
  • Build and maintain strong pipelines of passive candidates across key technical markets
  • Conduct market mapping and talent landscape analysis to support hiring strategy and workforce planning
  • Leverage LinkedIn Recruiter, GitHub, Kaggle, research publications/conferences, referrals, and other creative sourcing channels to identify and engage top technical talent.
  • Engage candidates with compelling outreach and ensure a positive candidate experience throughout the sourcing process
  • Track sourcing activity, pipeline health, and market insights to inform recruiting decisions
  • Collaborate closely with recruiting teams to continuously improve sourcing processes and effectiveness

Skills & Experience

  • Bachelor's Degree; 4-7 years of sourcing experience focused on technical hiring, ideally within Machine Learning, Quantitative Research, or related technical domains
  • Strong understanding of ML, AI, quantitative research, and broader technical talent landscapes
  • Demonstrated success building relationships with and engaging experienced technical talent in competitive markets
  • Experience identifying and engaging talent through channels such as GitHub, Kaggle, Hugging Face, LinkedIn Recruiter, research publications, and other technical communities
  • Proven ability to develop and execute sourcing strategies using data, feedback, and market insights
  • Collaborative approach with experience partnering closely with recruiters and hiring managers in fast-paced environments
  • Strong communication, organizational, and stakeholder management skills, with the ability to manage multiple searches simultaneously and operate with a high degree of ownership

Please note that immigration sponsorship is not offered for this specific opening.

Apply