Neural AI Engineer: Connectomics & Neurotech

Johns Hopkins Applied Physics Laboratory

Laurel (MD)

On-site

USD 85,000 - 165,000

Full time

2 days ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

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

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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Neural AI Engineer — Connectomics & Neurotech
Neural AI Engineer — Connectomics & Neurotech

Johns Hopkins Applied Physics Lab • Laurel (MD)

On-site
USD 85,000 - 165,000
Neural Engineer: AI-Driven Neurotech & Connectomics
Neural Engineer: AI-Driven Neurotech & Connectomics

The Johns Hopkins University Applied Physics Laboratory • Laurel (MD)

On-site
USD 85,000 - 165,000
Education assistance
Retirement contributions
Work-life balance
Neural Engineering Scientist — AI & Neurotech
Neural Engineering Scientist — AI & Neurotech

Johns Hopkins Applied Physics Lab • Laurel (MD)

On-site
USD 105,000 - 245,000
Lead Neural Engineering & AI Researcher
Lead Neural Engineering & AI Researcher

Johns Hopkins Applied Physics Laboratory • Laurel (MD)

On-site
USD 105,000 - 245,000
Neural Engineering Researcher: AI & Neurotech Lead
Neural Engineering Researcher: AI & Neurotech Lead

The Johns Hopkins University Applied Physics Laboratory • Laurel (MD)

On-site
USD 105,000 - 245,000
Robust education assistance program
Unparalleled retirement contributions
Healthy work/life balance
Neuroengineering Cloud & Connectomics Engineer
Neuroengineering Cloud & Connectomics Engineer

The Johns Hopkins University Applied Physics Laboratory • Laurel (MD)

On-site
USD 85,000 - 195,000
Senior Neuroengineering Software Lead
Senior Neuroengineering Software Lead

Johns Hopkins Applied Physics Laboratory • Laurel (MD)

On-site
USD 105,000 - 290,000
AI-Driven Offensive Cyber Capabilities Engineer
AI-Driven Offensive Cyber Capabilities Engineer

Johns Hopkins Applied Physics Lab • Laurel (MD)

On-site
USD 105,000 - 290,000
Generous benefits including education assistance
Robust retirement contributions
Work/Life balance
Senior Data Scientist - AI/ML for National Security Impact
Senior Data Scientist - AI/ML for National Security Impact

Johns Hopkins Applied Physics Lab • Laurel (MD)

On-site
USD 105,000 - 290,000
Education assistance
Robust retirement contributions
Healthy work/life balance
Lead Neuroengineering Cloud Architect
Lead Neuroengineering Cloud Architect

Johns Hopkins Applied Physics Lab • Laurel (MD)

On-site
USD 105,000 - 290,000