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Cognitive Sciences Jobs (NOW HIRING)

Intuit

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 ...

Intuit

Principal AI Scientist - GTM Tech

Mountain View, CA · On-site

$273K - $369K/yr

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 ...

HII's Mission Technologies division

$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 ...

Intuit

Principal AI Scientist - GTM Tech

Mountain View, CA · On-site

$273K - $369K/yr

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 ...

Intuit

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 ...

Intuit

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 ...

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Cognitive Sciences information

See salary details

$61K

$120.2K

$157.5K

How much do cognitive sciences jobs pay per year?

As of Aug 16, 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 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 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 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.

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:

What job categories do people searching Cognitive Sciences jobs look for?

The top searched job categories for Cognitive Sciences jobs are:

Cognitive Sciences jobs near you
Infographic showing various Cognitive Sciences job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 1% As Needed, 75% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $120,236 per year, or $57.8 per hour.

Visual Intelligence and Machine Learning Research Scientist

Apple

San Jose, CA • On-site

Full-time

Re-posted 21 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, every service we deliver, is the result of us making each other's ideas stronger. Here, you'll do more than join something - you'll add something.
Our team sits at the intersection of computational neuroscience, visual intelligence, and AI, translating cutting-edge research directly into experiences that users see and feel every day. We prototype algorithms from first principles all the way through to shipping features, working hand-in-hand with app teams and designers so that the science we build has immediate, tangible impact on how people interact with Apple products. If you want your research to matter beyond a paper, this is where that happens.
Description
We are looking for a Visual Intelligence and Machine Learning Scientist who bridges computational neuroscience and modern AI. You will build models that reason about human visual attention, behavioral states, comfort, and perceptual salience from video and multimodal sensor streams. You will have a track record of original research contributions, a drive to deploy algorithms on real-world data, and the versatility to take an idea from exploratory research to polished user experience.
Minimum Qualifications
MS with 3+ years of research experience, in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a related field, with a focus on computer vision or machine learning.
Demonstrated research contributions to visual intelligence or perceptual modeling, including peer-reviewed publications or equivalent industry impact.
Deep expertise in visual perception: saliency modeling, object detection and localization, optical flow, depth estimation, and multimodal learning including sensor fusion with IMU and temporal signals.
Strong hands-on experience training and deploying deep learning models using modern frameworks (PyTorch, TensorFlow, JAX) and Python scientific libraries (NumPy, OpenCV, scikit-learn).
Strong mathematical foundations in linear algebra, probability, optimization, and signal processing, with experience in large-scale dataset curation and evaluation methodology.
Excellent communication and collaboration skills; ability to thrive in a fast-paced environment alongside scientists, engineers, designers, and domain experts from the behavioral and cognitive sciences.
Preferred Qualifications
PhD in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a related field, with a focus on computer vision or machine learning.
Experience with vision foundation models, vision transformers (ViT), and adapter-based fine-tuning for perceptual or behavioral downstream tasks.
Familiarity with generative AI and neural rendering approaches (diffusion models, implicit neural representations) as components of computational perception pipelines.
Background in computational modeling of perceptual or behavioral phenomena: modeling user state, comfort, visual salience, or behavioral response from video or sensor data.
Experience developing or deploying models for spatial computing platforms (AR/VR headsets, iOS, macOS).
Track record of shipping algorithms in resource-constrained, real-time on-device inference environments.
Ability to be versatile across a multi-faceted role, moving fluidly between deep research, engineering rigor, and direct collaboration with product and design teams to bring science to life in user-facing features.

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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