2027 BS/MS Graduate - Neural Engineer

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory in Laurel, MD seeks a Neural Engineer to advance machine learning for connectomics, neural interfaces, and neurally-inspired AI. You will collaborate with engineers and scientists, develop software platforms, and analyze nervous-system data for national security and scientific missions.

Required BS/MS in relevant field and ability to obtain a Secret security clearance; strong collaboration and communication skills expected.

Qualifications

• BS or MS in Biomedical Engineering, CS, ECE, Neuroscience, AI, or related field.
• Experience developing software, ML models, computational methods, or data-analysis pipelines for scientific computing or engineering applications.
• Experience in connectomics, neural interfaces, neurally-inspired AI, or neurobehavioral analysis.
• Ability to obtain a Secret level security clearance; U.S. citizenship required.

Responsibilities

• Develop machine learning models, systems, and computational methods for connectomics, neural interfaces, neurally-inspired AI, and neurobehavioral research.
• Contribute as a technical team member on multidisciplinary neuroengineering research with government and commercial partners.
• Collaborate with engineers and scientists to develop ML algorithms, software platforms, and neurotechnology for nervous system analysis and interaction.
• Communicate technical results through presentations, publications, reports, and demos.

Skills

Software development

Machine learning models

Data analysis pipelines

Connectomics / Neural interfaces

Neurobehavioral analysis

Education

BS or MS in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, AI, or related field

Job description

Description

Are you passionate about using neuroscience and artificial intelligence to better understand the brain and build the next generation of intelligent systems?

Description

Are you passionate about using neuroscience and artificial intelligence to better understand the brain and build the next generation of intelligent systems?

If you are graduating with a BS or MS in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or a related subject area, we'd love to have you join our team!

We are seeking an engineer to develop pioneering technologies in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. You will work alongside leading engineers and scientists in neuroengineering, artificial intelligence, and robotics while growing your technical expertise and shaping the future of intelligent systems. We are looking for a motivated and collaborative teammate to support research and development of intelligent systems as a strategic advantage for the nation.

As a Neural Engineer

• Your primary role will be developing machine learning models, systems, and computational methods spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research.


• You will make an impact as a technical contributor to a multidisciplinary neuroengineering research team, collaboratively conducting pioneering research with government and commercial partners.


• You will collaborate with engineers and scientists to develop machine learning algorithms, software platforms, and neurotechnology for analyzing, understanding, and interacting with the nervous system.


• You will communicate technical results to teammates, collaborators, and sponsors through presentations, publications, technical reports, and demonstrations.

Qualifications

You meet our minimum qualifications for the job if you...

• Have a BS or MS in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or a related subject area.


• Have classroom, research, internship, or professional experience developing software, machine learning models, computational methods, and/or data analysis pipelines for scientific computing or engineering applications.


• Have classroom or professional experience in one or more areas related to connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral analysis.


• Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you...

• Have experience developing or applying advanced machine learning methods—including deep learning, foundation models, generative AI, or statistical learning—to large-scale biomedical, behavioral, imaging, or neurophysiological datasets.


• Have a Secret level security clearance or above.

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [e-mail].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$85,000 Annually

Maximum Rate

$165,000 Annually