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Machine Learning Neuroscience Jobs in Washington

... intelligence / machine learning, quantum science, and human-machine teaming. Researchers ... Master's or PhD in human factors psychology, experimental psychology, cognitive neuroscience, or ...

The Laboratory for MicroTechnologies and the Neurobiology Lab at the University of Maryland are ... machine learning to identify odorant signatures. The position provides the opportunity for ...

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

Experience or interest in substance use disorder, addiction neuroscience, neuropsychopharmacology, health disparities, machine learning, genetics/genomics, or large-scale biomedical datasets ...

... neuroscience, leveraging insights made possible via quantitative approaches, including dynamical systems analysis, agent-based modeling, stochastic processes, machine learning, and recurrent and deep ...

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Machine Learning Neuroscience information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do machine learning neuroscience jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning neuroscience in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Neuroscience position, and why are they important?

To thrive in a Machine Learning Neuroscience role, you need a solid background in neuroscience, advanced machine learning methods, statistical analysis, and preferably a graduate degree in a related field. Experience using programming languages such as Python or MATLAB, along with tools like TensorFlow, PyTorch, and neuroimaging platforms, is highly desirable. Strong analytical thinking, effective communication, and the ability to work collaboratively across interdisciplinary teams are vital soft skills. These competencies enable professionals to develop impactful models, interpret complex brain data, and drive innovative research or clinical applications in neuroscience.

What is a Machine Learning Neuroscience job?

A Machine Learning Neuroscience job involves using machine learning techniques to analyze and model neural data, helping to understand brain function or improve neurotechnology. Professionals in this field work at the intersection of artificial intelligence, neuroscience, and data science, often developing algorithms to interpret neural signals or enhance brain-computer interfaces. Roles can be found in academia, healthcare, and tech industries, contributing to research, diagnosis, or neuroadaptive systems. Strong skills in programming, statistics, and neuroscience fundamentals are typically required.

What are the typical daily tasks and team dynamics for someone working in a Machine Learning Neuroscience role?

In a Machine Learning Neuroscience position, your daily activities might include designing and running algorithms on neurological datasets, interpreting results, refining models, and collaborating with neuroscientists and clinicians. You’ll often work closely with cross-functional teams, contributing technical expertise to research studies or healthcare projects. Regular team meetings, data discussions, and collaborative problem-solving are a central part of the work environment. This collaborative structure fosters innovative ideas and ensures that machine learning approaches are well-suited to real-world neuroscience challenges.

How much do machine learning engineers make in neuroscience?

Machine learning engineers working in neuroscience typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Advanced skills in deep learning, data analysis, and programming languages like Python or MATLAB are often required, and roles may involve research environments or biotech companies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in technology companies or research institutions offering top-tier compensation packages.

Which 3 jobs will survive AI?

Machine Learning Neuroscience professionals are likely to continue in roles that require complex problem-solving, creativity, and understanding of human cognition, such as research scientists, clinical neurotechnologists, and AI ethics specialists. These roles depend on specialized knowledge, critical thinking, and interdisciplinary skills that are less susceptible to automation. Continuous learning and expertise in neuroscience and AI tools will help ensure job security in this field.

Is machine learning used in neuroscience?

Machine learning neuroscience involves applying machine learning techniques to analyze neural data, model brain functions, and develop brain-computer interfaces. Professionals in this field use tools like neural networks, statistical models, and programming languages such as Python or MATLAB to interpret complex biological signals. It is a growing area that combines expertise in neuroscience, data science, and machine learning algorithms.
What are the most commonly searched types of Machine Learning Neuroscience jobs in Washington? The most popular types of Machine Learning Neuroscience jobs in Washington are:
What job categories do people searching Machine Learning Neuroscience jobs in Washington look for? The top searched job categories for Machine Learning Neuroscience jobs in Washington are:
Infographic showing various Machine Learning Neuroscience job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Experimental Psychologist

Experimental Psychologist

University of Maryland

College Park, MD • On-site

$150K - $200K/yr

Full-time

Posted 25 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities


Job description

Job Description Summary
Organization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation's security, and are supported by a culture that values integrity, collaboration, and professional growth.
The Experimental Psychologist supports ARLIS' expanding research portfolio in intelligent human-machine systems, human performance and readiness augmentation, and decision support technologies for national security applications. The role contributes to the successful execution of federally funded programs requiring expertise in human systems integration, computational modeling of cognition and behavior, and experimental research at the intersection of AI and human performance.
Key Responsibilities:
- Support deliverable development
- Support qualitative interviews data collection and analytic methods
-Develop workflows based on cognitive task analyses results
- Support the software development team's user experience tasking.
- Support human data collection by leveraging expertise in human subjects research, neurophysiological measurements, and signal processing, along with strong statistical and programming language skills.
- Support business development efforts related to Human Performance & Readiness Augmentation Mission Area, especially scoping funding sources through sponsor engagements and funding source evaluations, developing ideas with IHMS teammates, and drafting/socializing white papers with sponsors.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history.
Final offer is contingent upon the candidate's ability to successfully obtain the necessary interim Secret security clearance, as determined by the U.S. Government, prior to commencing employment.
Physical Demands:
Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.
Minimum Qualifications:
• Master's or PhD in human factors psychology, experimental psychology, cognitive neuroscience, or related discipline with foundational knowledge of behavioral science research methods.
• Experience leading DoW/DoD applied research projects as Principal Investigator, Technical lead, Technical Program Manager, or similar function.
• Ability to plan, prioritize, and manage one's own work independently while contributing to/leading projects in a team context.
• Strong attention to detail and accuracy
• Excellent written and verbal communication skills.
• Ability to work at least 3 days on-site in College Park, MD
Preferences:
• Active or recently active DoD/DoW Top Secret (TS) Clearance strongly preferred
• Minimum of five (5) years of post-MA/MS work experience or minimum of three (3) years of post-PhD work experience
• Experience collecting physiological data from human subjects
• Survey methodology experience
Licenses/ Certifications: N/A
Additional Job Details
Required Application Materials: Cover Letter, Resume, References
Best Consideration Date: 6/4/26
Posting Close Date: N/A
Open Until Filled: Yes
Financial Disclosure Required
No
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
VPR-Applied Research Lab for Intelligence & Security
Worker Sub-Type
Faculty Regular
Salary Range
$150,000 - $200,000
Benefits Summary
For more information on Regular Faculty benefits, select this link.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice
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