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Kaggle Jobs in California (NOW HIRING)

Personal projects, Kaggle experience, or open-source contributions in ML. Nice to Have What We Offer * Competitive salary benchmarked against top-quartile market data, reviewed bi-annually.

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/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 ...

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/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 ...

Showing results 21-40

Kaggle information

See California salary details

$45.4K

$162.9K

$240.3K

How much do kaggle jobs pay per year?

As of Aug 18, 2026, the average yearly pay for kaggle in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 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.
Infographic showing various Kaggle job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Machine Learning Engineer, Generative ML , Level 5

Snap, Inc.

Los Angeles, CA

Full-time

Medical

Re-posted 23 days ago


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference. Our team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles.

We're looking for a Machine Learning Engineer to join our Generative ML team!

What you'll do:

  • Develop innovative machine learning technology and products that serve millions of Snapchatters

  • Work on state of the art GenAI pipelines for image, video, and audio generation

  • Deliver generative machine learning experiences on device

  • Build cutting-edge augmented reality experiences using generative and diffusion models

  • Partner with cross-functional Snap teams to explore and prototype new products

Knowledge, Skills & Abilities:

  • A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly

  • Strong software development skills in Python or C++

  • Proficiency working with major deep learning frameworks: PyTorch or TensorFlow

  • Knowledge of mathematics and deep learning foundations

  • Desire to solve open ambiguous problems

  • Desire to grow professionally, learn and help others

  • Ability to effectively collaborate with internal teams and external partners

  • Ability to work independently

Minimum Qualifications:

  • Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience

  • 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience

  • Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning

Preferred Qualifications:

  • Master's degree or PhD in a related technical field

  • Experience developing real-time software for mobile applications

  • Knowledge of GenAI, especially image, video, and audio generation foundations

  • Knowledge of efficient model foundations

  • Track record of successful projects in GenAI field

  • Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $209,000-$313,000 annually.


Zone B:

The base salary range for this position is $199,000-$297,000 annually.

Zone C:

The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.