ZipRecruiter

Log In

1

Kdd Jobs in California (NOW HIRING)

Apple

AIML - ML Researcher, AFM

Cupertino, CA · On-site

Minimum Qualifications Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP ...

next page

Showing results 1-20

All JobsKdd JobsKdd Jobs in California

Kdd information

See California salary details

$14

$29

$39

How much do kdd jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for kdd in California is $29.75, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $39.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Knowledge Discovery in Databases (KDD) specialist, and why are they important?

To thrive as a KDD specialist, you need strong analytical skills, a background in statistics or computer science, and proficiency in data mining techniques. Familiarity with tools such as SQL, Python, R, and data visualization platforms, as well as knowledge of relevant certifications like Certified Analytics Professional (CAP), is typical. Critical thinking, problem-solving ability, and effective communication are essential soft skills for interpreting data and delivering insights to stakeholders. These skills are crucial for extracting actionable knowledge from large datasets, driving data-informed decision-making, and supporting organizational goals.

What is a kdd?

KDD stands for Knowledge Discovery in Databases, which refers to the process of discovering useful patterns and insights from large sets of data. Jobs in KDD typically involve roles such as data scientist, data analyst, or machine learning engineer, where professionals use data mining, statistical analysis, and machine learning techniques to extract meaningful information from databases. These professionals help organizations make data-driven decisions by transforming raw data into actionable knowledge.

What are common challenges faced by professionals working in Knowledge Discovery in Databases (KDD) and how can they be addressed?

Professionals in KDD often encounter challenges such as handling large, complex, and sometimes unstructured datasets, ensuring data quality, and selecting appropriate data mining algorithms. Addressing these challenges typically involves collaborating closely with data engineers and domain experts to properly preprocess data, as well as staying up-to-date with the latest analytical methods. Additionally, clear communication with stakeholders is essential to translate findings into actionable insights that support business goals.

What is the difference between Kdd vs Data Scientist?

AspectKddData Scientist
Required CredentialsTypically a degree in computer science, data analysis, or related fieldsOften a degree in computer science, statistics, or related disciplines
Work EnvironmentFocuses on data preprocessing, cleaning, and knowledge extractionIncludes data analysis, modeling, and predictive analytics
Employer & Industry UsageUsed in industries like IT, finance, healthcare for data mining projectsCommon in tech, finance, marketing for data-driven decision making

While both Kdd and Data Scientist roles involve working with data, Kdd primarily emphasizes the process of knowledge discovery through data preprocessing and pattern recognition. Data Scientists often perform a broader range of tasks, including building models and interpreting data insights. Understanding these differences helps in choosing the right career path or job role.

What are popular job titles related to Kdd jobs in California? For Kdd jobs in California, the most frequently searched job titles are:
What job categories do people searching Kdd jobs in California look for? The top searched job categories for Kdd jobs in California are:
Kdd jobs near you
Infographic showing various Kdd job openings in California as of August 2026, with employment types broken down into 2% Internship, 97% Full Time, and 1% Nights. Highlights an 85% Physical, 10% Hybrid, and 5% Remote job distribution, with an average salary of $61,881 per year, or $29.8 per hour.

AI Research Scientist, Modeling & ToolCalling - MSL

Meta

Menlo Park, CA • On-site

$184K - $257K/yr

Full-time

Posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 242 rated software companies

Job description

We are seeking AI researchers for the Modeling & ToolCalling team within Meta Superintelligence Labs. This team is focused on LLM post-training, with emphasis on advancing long-horizon agentic tool use, search, personalization, and other frontier capabilities required for models to operate effectively in real-world settings.
Responsibilities
Work across the full LLM post-training stack
• Building high-quality training data, and designing and running evaluations
• Execute and iterate on post-training runs
• Own end-to-end LLM capability "hill-climbing"
• Conduct research on improved training and data curation strategies
• Lead complex technical projects end-to-end
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related technical field
• 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models
• Deep, practical experience in LLM post-training
• Experience as a technical lead on a team and/or leading complex technical projects from end to end
• Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
• Extensive experience working on long horizon agents, agentic tool use, personalization, and/or search
• Experience working on frontier-quality, state-of-the-art Large Language Models
• First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply