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Apple

AIML - ML Researcher, AFM

Cupertino, CA · On-site

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, InterSpeech) or a ...

V2Soft

Data Scientist

Seattle, WA

Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science) * Excellent oral and written communication skills, with the ...

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How much do kdd jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for kdd in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $39.66 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 are KDD jobs?

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.

More about Kdd jobs
What states have the most Kdd jobs? States with the most job openings for Kdd jobs include:
What job categories do people searching Kdd jobs look for? The top searched job categories for Kdd jobs are:
Kdd jobs near you
AIML - ML Researcher, AFM

AIML - ML Researcher, AFM

Apple

Cupertino, CA • On-site

Full-time

Posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including end-to-end voice interactions, natural language processing, and combining learning with knowledge.
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, InterSpeech) or a track record in applying deep learning techniques to productsProficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorflowAbility to work in a collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.
Code Large language models.Experience in building end-to-end voice models.Experience in speech recognitions and generations.Experience in reinforcement learning, on-policy distillation.Experience in post-training, mid-training large language models.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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