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Internship Brain Machine Interface Jobs in Washington, DC

Assistant Professor

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The candidate will supervise postdocs, students, research assistants or lab interns conducting ... brain injury, neurological diseases, developmental disorders, diabetes, and nanomedicine. Utilize ...

Assistant Professor

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The candidate will supervise postdocs, students, research assistants or lab interns conducting ... Conduct research across various imaging science fields using disease animal models, including brain ...

Software Engineer

Ashburn, VA · On-site

$88K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and enhance full-stack applications, including React-based user interfaces * Contribute to ... Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM ...

Junior Developer

Annapolis Junction, MD · On-site

$68K - $88K/yr

Supporting front-end development by building responsive web interfaces and components using HTML ... internships, academic projects, or professional environments. * Proficiency in Python development ...

Junior Developer

Annapolis Junction, MD · On-site

$68K - $88K/yr

Supporting front-end development by building responsive web interfaces and components using HTML ... internships, academic projects, or professional environments. * Proficiency in Python development ...

Associate Software Engineer

Fort George G Meade, MD · On-site

$76K - $128K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... or relevant coursework/internships. * Experience with Python (preferred), or solid working ... Hands-on practice or project experience building web interfaces with React or Angular. Clearance ...

Mechanical / Aerospace System Engineer

Hyattsville, MD · On-site

$130K - $175K/yr

  • Medical

  • Retirement

  • PTO

Communicate with internal & external customers and external model machine shops to optimize test ... internship. * Experience using PTC Creo CAD software. * Experience performing Finite Element ...

Mechanical / Aerospace System Engineer

Hyattsville, MD · On-site

$88K - $125K/yr

  • Medical

  • Retirement

  • PTO

Communicate with internal & external customers and external model machine shops to optimize test ... internship. * Experience using PTC Creo CAD software. * Experience performing Finite Element ...

Showing results 21-40

Internship Brain Machine Interface information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do internship brain machine interface jobs pay per year?

As of Aug 13, 2026, the average yearly pay for internship brain machine interface in Washington, DC 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 types of projects or tasks can I expect to work on during a brain machine interface internship?

As a Brain Machine Interface (BMI) intern, you'll typically assist with experimental design, data collection, and analysis involving neurophysiological signals, such as EEG or intracortical recordings. You may help develop or test algorithms for signal processing and decoding brain activity, or support the integration of hardware and software systems. Collaboration with neuroscientists, engineers, and software developers is common, so you’ll gain exposure to both research and technical development environments. Interns often have the opportunity to contribute to ongoing research publications or product development, which can be valuable experience for future roles.

What are the key skills and qualifications needed to thrive as an internship brain machine interface?

To thrive in a Brain Machine Interface internship, you typically need a background in neuroscience, biomedical engineering, computer science, or a related field, with coursework or experience in signal processing and neural data analysis. Familiarity with programming languages like Python or MATLAB, as well as experience with neural recording systems and data acquisition tools, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute meaningfully to research teams. These skills enable interns to support innovative projects at the intersection of neuroscience and technology, ensuring they can learn quickly and add value to complex research environments.

What is an internship brain machine interface?

Internship Brain Machine Interface positions are short-term roles typically offered to students or recent graduates to gain hands-on experience working with brain-machine interface (BMI) technologies. These internships involve assisting with research, development, and testing of systems that connect the human brain to external devices, often in fields like neuroscience, biomedical engineering, or computer science. Interns may work on tasks such as data analysis, programming, hardware development, or conducting experiments under the supervision of experienced professionals. The goal is to provide practical exposure and skill development in cutting-edge neurotechnology.

What is the difference between Internship Brain Machine Interface vs Research Assistant in Brain-Computer Interface?

AspectInternship Brain Machine InterfaceResearch Assistant in Brain-Computer Interface
Required CredentialsEnrolled in relevant undergraduate or graduate programGraduate degree or ongoing research experience in neuroscience or engineering
Work EnvironmentInternship setting, often in labs or tech companiesAcademic or research institution labs
Employer & Industry UsageTech companies, startups, research labsUniversities, research institutes, industry R&D
Common Search & Comparison IntentUnderstanding internship roles in BMIResearch roles in brain-computer interfaces

While both roles involve working with brain-machine interface technology, an Internship Brain Machine Interface typically targets students gaining initial industry experience, whereas a Research Assistant in Brain-Computer Interface usually involves more advanced research responsibilities within academic or research institutions.

What are popular job titles related to Internship Brain Machine Interface jobs in Washington, DC?

For Internship Brain Machine Interface jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Internship Brain Machine Interface jobs in Washington, DC look for?

The top searched job categories for Internship Brain Machine Interface jobs in Washington, DC are:

Summer 2027 AI/ML Engineering Intern

The Nuclear Company

Washington, DC • On-site

$19 - $24.75/hr

Full-time, Temporary, Internship

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

The Nuclear Company is the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.
We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.
We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values-Trust, Responsibility, Unity, Scrappiness, and Tenacity-guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.
About the role
The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. The work matters for national security, energy independence, and the climate.
You will build the AI that people use to build power plants. As an AI/ML Engineer Intern on the Platform Integration & AI/Data squad, you take real scope on the machine learning and agent capabilities inside NOS: LLM-driven workflows, retrieval-augmented generation, and agents that operate against NOS data and tools, plus the evals and monitoring that keep AI features safe in production. You work next to full-time engineers and nuclear domain experts, ship real models and features to production, and see your work put to use by the teams building plants.
This is a 12-week Summer 2027 internship (May to August), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for co-ops outside the DC metro area.
Responsibilities
  • Ship ML and AI features inside NOS applications teams use every day: site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools running across active TNC projects.
  • Build AI agents and agent workflows that operate against NOS data and tools, including the MCP interfaces and tool-use frameworks they depend on.
  • Develop data pipelines and integrations across Palantir Foundry, AWS GovCloud, and more - and contribute to the data ontology so models and agents can use NOS data reliably.
  • Build predictive and anomaly-detection models that support operations and engineering decisions, including time-series analysis of sensor and operational data from active projects.
  • Help own model quality end-to-end: eval criteria, acceptance thresholds, and regression suites that keep NOS audit-ready and results reproducible; triage issues and root-cause failures.

Required Experience
  • Currently enrolled in a BS in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field. Available for a full six-month term and returning to school afterward.
  • Strong Python fundamentals and hands-on exposure to modern ML and LLM tooling (PyTorch, Hugging Face, or similar) through coursework or projects.
  • A track record of shipping working software or ML projects (course projects, personal projects, or prior internships or co-ops). We care about what you've built, not just what you've studied.
  • This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements). U.S. Person status (U.S. citizen or lawful permanent resident) is required, and TNC does not provide visa sponsorship for these roles.
  • Willing and able to work on-site in Washington DC, five days a week, for the full six-month term.

Preferred Experience
  • Hands-on experience with LLMs and agents: prompting, fine-tuning, retrieval-augmented generation, evals, or tool use (MCP or similar frameworks).
  • Coursework or project experience with Palantir Foundry and AIP, AWS, or another major cloud platform - Foundry exposure is heavily weighted.
  • Solid data fundamentals: comfortable doing exploratory data analysis and working with large, messy datasets, including time-series or sensor data.
  • Exposure to MLOps tooling (MLflow, SageMaker, Vertex AI) or CI/CD for models.
  • Interest in energy, national security, industrial software, or regulated industries.
  • Familiarity with nuclear engineering concepts (not required, we teach the domain).

Benefits
  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary Range
The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.
EEO StatementThe Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.
Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
Recruiting Fraud Alert
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.