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Cognitive Sciences Jobs (NOW HIRING)

Staff AI Scientist

Mountain View, CA · On-site

$209K - $283K/yr

If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you. * Proficient in multiple ...

If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you. * Solid knowledge of statistical ...

If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you. * Solid knowledge of statistical ...

Staff AI Scientist

Mountain View, CA · On-site

$209K - $283K/yr

If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you. * Proficient in multiple ...

If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you. * Proficient in multiple ...

$99K - $175K/yr

The Cognitive Science Engineer supports innovative research, advanced technology development, and the integration of emerging AI and machinelearning capabilities across missionfocused programs. This ...

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cognitive sciences information

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$61K

$120.2K

$157.5K

How much do cognitive sciences jobs pay per year?

As of Sep 12, 2026, the average yearly pay for cognitive sciences in the United States is $120,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $136,500.00 per year, depending on experience, location, and employer.

What are cognitive sciences?

Cognitive sciences is an interdisciplinary field that studies the mind and its processes, including how people think, learn, remember, perceive, and solve problems. It combines insights and methods from psychology, neuroscience, linguistics, computer science, philosophy, and anthropology. Researchers in cognitive sciences aim to understand the nature of intelligence and the mechanisms underlying mental functions, both in humans and in artificial systems. This field helps advance knowledge in areas like artificial intelligence, language processing, decision making, and brain disorders.

What are some typical interdisciplinary collaborations for professionals in cognitive sciences?

Professionals in cognitive sciences often collaborate with experts from fields such as neuroscience, psychology, computer science, linguistics, and philosophy. These collaborations might involve joint research projects, developing computational models of cognition, or designing experiments to better understand human perception and behavior. Working in interdisciplinary teams is a key part of the role, as it allows cognitive scientists to approach complex problems from multiple perspectives and apply a variety of research methods. Such teamwork fosters innovation and can open doors to diverse career paths in both academia and industry.

What are the key skills and qualifications needed to thrive as a cognitive scientist, and why are they important?

To thrive as a Cognitive Scientist, you need a strong background in psychology, neuroscience, linguistics, and research methodologies, usually supported by an advanced degree in cognitive science or a related field. Familiarity with data analysis tools (such as MATLAB, Python, or R), experimental design software, and neuroimaging technologies is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting complex data and collaborating across disciplines. These skills and qualifications are crucial for advancing research, developing innovative solutions, and making meaningful contributions to our understanding of human cognition.

What is the difference between Cognitive Sciences vs Cognitive Psychology?

AspectCognitive SciencesCognitive Psychology
CredentialsTypically requires degrees in cognitive science, psychology, neuroscience, or related fieldsUsually requires a degree in psychology or cognitive psychology
Work EnvironmentResearch labs, universities, tech companies, interdisciplinary settingsAcademic settings, research labs, clinical environments
Industry UsageUsed across academia, AI development, human-computer interactionPrimarily in academic research, clinical psychology, and therapy

While both fields study mental processes, Cognitive Sciences is an interdisciplinary field encompassing psychology, neuroscience, and computer science, whereas Cognitive Psychology focuses specifically on understanding mental functions like memory, perception, and decision-making within psychology.

Is a PhD needed for cognitive sciences jobs?

A PhD is often required for research-focused roles in cognitive sciences, especially in academia or advanced research positions. However, some industry roles, such as data analysis or applied cognitive science, may accept master's degrees or bachelor's degrees with relevant experience and skills in areas like psychology, neuroscience, or computer science.

Is cognitive science in demand?

Cognitive science is a growing interdisciplinary field with increasing demand in areas such as artificial intelligence, human-computer interaction, and healthcare. Professionals with skills in research, data analysis, and programming are sought after in academia, industry, and technology sectors.

What careers with a cognitive sciences degree?

A cognitive sciences degree prepares individuals for careers such as cognitive scientist, research psychologist, user experience designer, or data analyst. These roles often require skills in research, data analysis, programming, and understanding human behavior, and may involve working in academia, healthcare, technology, or research institutions.
More about cognitive sciences jobs

What cities are hiring for Cognitive Sciences jobs?

Cities with the most Cognitive Sciences job openings:

What states have the most Cognitive Sciences jobs?

States with the most job openings for Cognitive Sciences jobs include:

Infographic showing various Cognitive Sciences job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 48% Physical, 1% Hybrid, and 51% Remote job distribution, with an average salary of $120,236 per year, or $57.8 per hour.

Staff AI Scientist

Mountain View, CA • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees

$209K - $283K/yr

Full-time

Re-posted 4 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz


Job description

Intuit is looking for innovative and hands-on Staff AI Scientist to join the GTM Tech platform AI team.
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.
Responsibilities
  • Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
  • Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
  • Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team's work, and holding the team accountable for high quality code, git, design, costs and implementation standards
  • Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them "model-ready". You need to be willing and able to do your own ETL and design/build featurization.
  • Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
  • Runs A/B tests to draw conclusions on the impact of your team's work and communicates results to peers and leaders
  • Communicates with partners to ensure successful delivery and integration of DS solutions.
  • Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.

Qualifications
    • 4+ years of industry experience with AI science
    • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
    • 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
    • Prior experience / qualifications in Marketing platforms, media management. If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you.
    • Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
    • Proficient in NLP techniques, Explainable AI, and ML frameworks.
    • Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
    • Efficient in SQL, Hive, SparkSQL, etc.
    • Comfortable working in a Linux environment
    • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
    • Quick learner, adaptable, with the ability to work independently in a fast-paced environment
    • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $209,500 - $283,500

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