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Kdd Jobs (NOW HIRING)

NEC Labs

ML - Researcher

Princeton, NJ · On-site

... KDD, ACL, RECOMB, Nature, Nature Genetics, Nature Machine Intelligence, and other top venues, and has garnered media coverage (Science News, Nature News, New York Times, MIT Technology Review).A lot ...

AppLovin

Foundational Research Scientist

Palo Alto, CA · On-site

Preferred : • Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW). • Experience with sequential modeling, representation learning, or causal inference. • Knowledge of ...

AppLovin

Foundational Research Scientist

Palo Alto, CA · On-site

Preferred : • Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW). • Experience with sequential modeling, representation learning, or causal inference. • Knowledge of ...

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How much do kdd jobs pay per hour?

As of Jul 15, 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.

Which job is most in demand?

In Kuwait, roles in the oil and gas industry, such as engineers and technicians, are highly in demand due to the country's reliance on petroleum. Additionally, healthcare professionals, IT specialists, and construction workers are also sought after, especially those with relevant certifications and skills in project management or digital technologies.

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.

Where is KDD from?

KDD, which stands for Knowledge Discovery and Data Mining, is an academic conference and research community focused on data science, machine learning, and data mining. It originated in the United States and is organized annually by the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD).

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.

Who is the owner of KDD?

KDD, which refers to Knowledge Discovery and Data Mining, is a field rather than a company or individual owner. It is a multidisciplinary process involving data analysis, machine learning, and database systems, often used in organizations to extract useful information from large datasets. There is no single owner of KDD as it is a broad area of research and practice.

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 does the KDD company stand for?

KDD often refers to Knowledge Discovery and Data Mining, a field focused on extracting useful patterns from large datasets. In a job context, roles like KDD specialists involve data analysis, machine learning, and data preprocessing using tools such as SQL, Python, or R.
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
Infographic showing various Kdd job openings in the United States as of July 2026, with employment types broken down into 4% Internship, 93% Full Time, 1% Part Time, 1% Nights, and 1% Summer. Highlights an 86% Physical, 8% Hybrid, and 6% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.
AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI

AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI

Meta

New York, NY

$219K/yr

Full-time

Re-posted 26 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

The Monetization GenAI Video Gen & Visual Search group, part of the Ads pillar, is building the next generation of generative AI for video - from creation to understanding to transformation - at a scale that reaches billions of users. We develop proprietary foundation models for video generation, video-to-video editing, audio generation (music, voiceover, dubbing), and multimodal video understanding powered by large language models. We produce industry leading video models, and our research translates into products that drive hundreds of millions of dollars in annual advertising revenue. We are looking for a technical leader in AI research to define the research vision across video and audio generation, drive breakthrough research, and shape the technical direction of the organization.
AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI Responsibilities:
  • Lead end-to-end AI research and model development for video-centric generative AI across Meta's advertising surfaces
  • Drive advancements in video generation & enhancement
  • Develop video-to-video & audio generation capabilities
  • Advance video & visual understanding through novel research
  • Conduct foundation model research to support generative AI innovation
  • Define research agendas and pioneer new directions in video/audio generation and multimodal understanding

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Has obtained a PhD in Computer Science, AI/ML, or a relevant technical field
  • Experience as a technical lead, driving major technical initiatives with cross-functional impact and influencing strategy across multiple teams
  • 4+ years of experience training large language and/or vision models, with extensive and recent experience training multimodal LLMs
  • Research expertise in video generation/understanding, multimodal learning, or diffusion models
  • Demonstrated significant industry influence in the field of AI and/or recently published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)

Preferred Qualifications:
  • First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
  • Experience working on frontier-quality/state-of-the-art MLLM
  • Experience with audio/speech generation or processing
  • Experience with unified/multi-task foundation model architectures
  • Industry research lab experience

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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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