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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

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 · 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 ...

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 ...

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 ...

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 ...

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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.

Senior Product Manager, Kaggle, North America

DeepMind

Mountain View, CA • On-site

$192K - $278K/yr

Full-time

Posted 29 days ago

Job description

Snapshot
Kaggle is the world's largest AI and ML developer community with over 5.6 million monthly active users and 30 million registered users. Kaggle is currently evolving from static ML competitions to becoming a trusted industry standard for AI evaluation with community at its heart. As a Senior Product Manager at Kaggle, you will be at the forefront of driving this transformation, leading initiatives across our AI evaluation platform, community growth, and cutting-edge research to define "what works" in the modern AI landscape.
About Us
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
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.
The Role
To tackle Kaggle's ambitious mandate, we are expanding our product team with multiple hires. We are looking for action-oriented, "AI native" leaders who can help a team execute efficiently in a highly ambiguous environment. Rather than forcing a one-size-fits-all role, we will align your specific product portfolio with your unique superpowers. Whether your strength lies in building robust developer platforms, scaling global developer communities, or productizing frontier AI research, you will play a pivotal role in redefining how the industry evaluates AI.
Key responsibilities:
  • Lead Product Vision: Drive the strategy and execution for a core pillar of Kaggle's AI evaluation portfolio, whether that is unifying our AI Evals Platform, scaling top-of-funnel growth, or expanding our agent arena offerings.
  • Champion the Developer Experience: Design intuitive, scalable workflows that balance ease-of-access with research-grade quality, enabling developers and researchers to seamlessly publish, test, and rank agentic systems.
  • Scale the Ecosystem: Launch strategic features, integrations, and partnerships that meet developers where they are, expanding Kaggle's reach and influence across the global AI community.
  • Productize the Frontier: Identify emergent AI evaluation trends and novel paradigms, translating them into scalable platform features that act as a "north star" for the industry.
  • Drive Internal & External Impact: Partner cross-functionally with Google teams and external frontier labs to ensure Kaggle's aggregate signals directly inform and accelerate foundation model development.
  • Build Sustainable Systems & Business Models: Address complex platform scaling challenges, such as implementing flexible compute options to support compute-heavy agentic evaluation workloads.
About You
In order to set you up for success as a Senior Kaggle Product Manager at Kaggle within Google DeepMind, we look for the following skills and experience:
Requirements
  • 7+ years of product management experience, with a proven track record of successfully shipping and scaling complex, highly technical software products.
  • Deep domain expertise in the modern AI ecosystem, with a hands-on, opinionated understanding of LLMs, agentic frameworks, and current methodologies for model benchmarking and evaluation.
  • Demonstrated experience building developer-facing tools, APIs, SDKs, or platform ecosystems that require an obsession with Developer Experience (DX).
  • Comfort with ambiguity and the ability to define product direction in a fast-moving, novel space.

In addition, the following would be an advantage:
  • Strong existing network or previous experience working directly with top-tier AI labs, research organizations, or open-source AI communities.
  • Expertise in community growth loops and creator-consumer flywheels, including measuring user journeys and scaling developer engagement.
  • Proven success in commercialization or unit economics for large open-source or developer ecosystems.

The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: March 24, 2026
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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