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Cognitive Science Jobs (NOW HIRING)

Vivum AI

Computational Neuroethologist

Bloomington, IN · On-site

Required : • Strong background in neuroethology • Strong background in cognitive science • Strong background in computational modeling Company : The Biological Intelligence Company for Scalable ...

Steampunk

AI Evaluation Scientist

Mclean, VA

$105K - $145K/yr

Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 5+ years of experience. * Master's degree in ...

Lahey Clinic

Cognitive Neurologist

Burlington, MA

$245K - $325K/yr

Pursue your interest in clinical research within the cognitive sciences. * Teach and Mentor: Supervise and teach medical students and neurology residents from UMass Chan Medical School. About Lahey:

Novel Prep

Brain Bee Competition Instructor

Irvine, CA · On-site

$50 - $60/hr

The ideal candidate will have a strong academic background in neuroscience, biology, psychology, cognitive science, medicine, or a related field. Candidates should be familiar with the Brain Bee ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 5+ years of experience. * Master's degree in ...

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How much do cognitive science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for cognitive science in the United States is $57,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a cognitive science job?

A Cognitive Science job involves applying knowledge from psychology, neuroscience, artificial intelligence, philosophy, and linguistics to understand how humans and machines think, learn, and process information. Professionals in this field work in diverse industries, including technology, healthcare, research, and user experience design. Common roles include data scientist, UX researcher, AI specialist, and cognitive psychologist. These jobs often require analytical thinking, programming skills, and expertise in human behavior or machine learning.

What are the key skills and qualifications needed to thrive in a cognitive science position?

To thrive in a Cognitive Science role, you need a solid grounding in psychology, neuroscience, computer science, linguistics, and data analysis, usually supported by at least a bachelor's or master's degree in a related field. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python or MATLAB), and research tools is highly advantageous. Outstanding collaboration, critical thinking, and clear communication skills set top candidates apart in multidisciplinary teams. These skills and qualifications enable professionals to analyze complex cognitive processes and contribute innovative solutions to real-world human-computer interaction, AI, or behavioral research challenges.

What are the typical career progression opportunities for someone in a cognitive science role?

Professionals in cognitive science often start in research assistant, data analyst, or user experience roles and can progress to positions such as lead researcher, UX researcher, cognitive engineer, or even project manager depending on their interests and expertise. With experience and additional qualifications, some transition into roles in artificial intelligence, human-computer interaction, neurotechnology, or higher education as professors or principal investigators. Opportunities for advancement are often influenced by your ability to publish research, collaborate across disciplines, and acquire advanced degrees or certifications. Many cognitive science professionals also find pathways into related industries including technology, healthcare, and education, allowing for diverse and rewarding career trajectories.

Is cognitive science a useful degree?

Cognitive science is a versatile degree that prepares graduates for careers in research, technology, healthcare, and user experience design by combining psychology, neuroscience, computer science, and linguistics. It develops skills in critical thinking, data analysis, and problem-solving, which are valuable across many industries. Job opportunities often require interdisciplinary knowledge and may benefit from programming skills or familiarity with AI tools.

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 user experience design. Professionals with skills in data analysis, programming, and understanding of cognitive processes are sought after in research, technology, and healthcare sectors.

What does a cognitive scientist do?

A cognitive scientist studies mental processes such as perception, memory, language, and decision-making by analyzing how the brain and mind work. They often conduct experiments, develop models, and use tools like neuroimaging to understand human cognition, working in research, academia, or applied settings. Strong analytical skills and knowledge of psychology, neuroscience, and computer science are essential for this role.
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What are the most commonly searched types of Cognitive Science jobs?

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What states have the most Cognitive Science jobs?

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Cognitive Science jobs near you
Infographic showing various Cognitive Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $57,413 per year, or $27.6 per hour.

Evaluation & Insights Machine Learning Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 29 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great 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!
Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Products. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms.
Description
We are looking for an Evaluation & Insights Engineer for the Human-Centered AI team to help evaluate and improve AI systems by combining data science, model behavior analysis, and qualitative insights. In this role, you will analyze AI outputs, develop evaluation frameworks, design qualitative, and translate findings into actionable improvements for product and engineering teams. This role blends deep technical expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross-functionally with the Engineering and Project Managers, Product, and Research teams to ensure that AI experience is reliable, safe, and aligned with human expectations.
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Cognitive Science, or a related technical field
8+ years of relevant industry experience in ML Engineering or Applied Research.
Advanced proficiency in Python and modern deep learning ecosystems (PyTorch, JAX, Hugging Face).
Proven experience building scalable ML inference pipelines, model-evaluation workflows, and structured rating frameworks for large-scale AI systems.
Strong ability to interpret unstructured model outputs (text, transcripts, embedding spaces) and synthesize qualitative findings into actionable engineering guidance and training objectives.
Hands-on experience developing, fine-tuning, or evaluating LLMs, multimodal models, and NLP systems.
Deep familiarity with AI quality metrics, hallucination detection techniques (e.g., SelfCheckGPT), model alignment (RLHF/DPO), and LLM-as-a-judge frameworks (e.g., G-Eval, DeepEval).
Experience building internal tools or automated pipelines for ML workflows using tools like MLflow, Weights & Biases, or similar platforms.
Strong familiarity with advanced prompt engineering, RAG architectures (vector databases, semantic search), and Fine-Tuning .
Preferred Qualifications
Knowledge of human factors, HCI, or cognitive science methodologies as applied to AI system design.

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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