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Kaggle Master Jobs (NOW HIRING)

Pursuing Bachelor's or Master's degree in Computer Science, Machine Learning, or related field ... Kaggle competitions or open-source ML contributions * Interest in graph-based machine learning #J ...

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Master's degree + 2 years working experience in machine learning * Proficiency in at least one ... ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred * Research experience ...

Master's degree + 2 years working experience in machine learning * Proficiency in at least one ... ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred * Research experience ...

D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major ... Winners in ACM-ICPC, NOI/IOI, Kaggle. * Working knowledge of health-tech systems, like Electronic ...

D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major ... Winners in ACM-ICPC, NOI/IOI, Kaggle. * Working knowledge of health-tech systems, like Electronic ...

NY · On-site

$120 - $160/hr

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Bachelor's or master's degree in computer science/engineering, or a related field.* Proven ... Bonus: experience with MLOps tools, distributed AI systems, open‐source contributions, Kaggle, or ...

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How much do kaggle master jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for kaggle master in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

What is a Kaggle master?

A Kaggle Master is not a traditional job title but a designation awarded to top-performing data scientists on Kaggle, a competitive machine learning platform. Companies may hire Kaggle Masters for roles like data scientist, machine learning engineer, or AI researcher due to their proven expertise in solving complex data challenges. Their strong track record in competitions demonstrates advanced skills in model development, feature engineering, and problem-solving.

What are the key skills and qualifications needed to thrive as a Kaggle master?

To thrive as a Kaggle Master, you need a deep understanding of machine learning, data analysis, and advanced programming skills, often demonstrated through a proven track record in data science competitions. Expertise in tools such as Python, R, Jupyter Notebooks, and libraries like scikit-learn, TensorFlow, or PyTorch is highly valuable, along with knowledge of version control systems like Git. Strong problem-solving ability, creativity, and the communication skills to share findings and collaborate on team competitions set top performers apart. These skills ensure that you can develop innovative, high-performing models and effectively contribute to competitive data science projects.

What are the main challenges faced by Kaggle masters in their day-to-day work?

Kaggle Masters often encounter challenges such as dealing with messy, incomplete, or unbalanced datasets and staying updated with rapidly evolving machine learning techniques. They frequently need to iterate and experiment with multiple data preprocessing, modeling, and ensemble strategies to achieve top results. Working under tight competition deadlines and effectively collaborating with team members across different time zones can also be demanding. However, overcoming these challenges is part of what makes the role highly rewarding and fosters sharp technical and problem-solving skills.

Do people get hired from Kaggle Master?

Kaggle Masters often improve their chances of being hired by demonstrating strong data science and machine learning skills through competitions. Employers value Kaggle achievements as evidence of practical expertise, but hiring also depends on overall experience, interview performance, and fit for the role.
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What are the most commonly searched types of Kaggle Master jobs?

The most popular types of Kaggle Master jobs are:

Infographic showing various Kaggle Master job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

ML Engineer Intern, AI Platform

Corvic

Mountain View, CA • On-site

$120 - $150/hr

Other

Posted yesterday

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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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