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Intern Computational Neuroscience Software Engineer Jobs in Washington

Scientific Software Engineer

Bethesda, MD · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Scientific Software Engineer The Opportunity: As a back-end developer, you know that a good site or ... Experience developing and maintaining backend computational components, including data assimilation ...

Scientific Software Engineer

Bethesda, MD · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0244218 Scientific Software Engineer The Opportunity: As a back-end developer, you know that a ... Experience developing and maintaining backend computational components, including data assimilation ...

Senior Software Engineer, hyperscale

Sterling, VA · On-site

$121K - $160K/yr

They are seeking a senior software engineer to design and implement innovative solutions for large ... performant computational solutions. Qualifications : Required : • Current TS/SCI with poly ...

Software Engineer

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Computational Science, Human-Computer Interaction, Network Engineering, etc. ALTERNATE EXPERIENCE ...

Software Engineer

Annapolis Junction, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note ... Computational Science, Human-Computer Interaction, Network Engineering, etc. ALTERNATE EXPERIENCE ...

Software Engineer

Chantilly, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Computational Science, Human-Computer Interaction, Network Engineering, etc. ALTERNATE EXPERIENCE ...

Software Engineer

Tysons, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Computational Science, Human-Computer Interaction, Network Engineering, etc. ALTERNATE EXPERIENCE ...

Showing results 21-40

Intern Computational Neuroscience Software Engineer information

What is the difference between Intern Computational Neuroscience Software Engineer vs Intern Data Scientist?

AspectIntern Computational Neuroscience Software EngineerIntern Data Scientist
Required CredentialsRelevant coursework in neuroscience, programming, and data analysis; often pursuing a degree in neuroscience, computer science, or related fieldsDegree in data science, statistics, computer science, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on brain research and AI applicationsTech companies, research firms, or healthcare organizations analyzing large datasets
Employer & Industry UsageUsed in neuroscience research, AI development, and neurotechnology industriesCommon in tech, finance, healthcare, and marketing sectors

While both roles involve programming and data analysis, Intern Computational Neuroscience Software Engineers focus on understanding brain functions and developing neuro-inspired algorithms, whereas Intern Data Scientists analyze diverse datasets to extract insights across various industries.

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs in Washington?

The most popular types of Computational Neuroscience Software Engineer jobs in Washington are:

What cities in Washington are hiring for Intern Computational Neuroscience Software Engineer jobs?

Cities in Washington with the most Intern Computational Neuroscience Software Engineer job openings:

Software Engineering Intern - Artificial Intelligence (Fall 2026)

Cynet Corp

Sterling, VA • On-site

Internship

Posted 3 days ago

New


Job description

Cynet Systems Inc. is a proud participant in the Internships VA program. #InVA

Join an award-winning and talented organization that delivers world-class staffing and technology solutions. Working within a dynamic and innovative environment, you will have the opportunity to gain hands-on experience supporting cutting-edge Artificial Intelligence and Machine Learning initiatives while collaborating with experienced technical professionals.

As Cynet continues to expand its IT and technology capabilities, this internship provides a unique opportunity for a motivated individual to apply academic knowledge to real-world software engineering challenges and contribute to the development of AI-driven solutions.

About the Role

The Software Engineering Intern - Artificial Intelligence will support the design, development, testing, and optimization of software solutions focused on Artificial Intelligence and Machine Learning. This role will work closely with senior engineering leadership to assist with AI model development, data processing initiatives, and software development lifecycle activities.

The ideal candidate is passionate about emerging technologies, enjoys solving complex problems, and is eager to gain practical experience working with AI frameworks, cloud technologies, and enterprise-level software solutions.

What will you be doing day to day?
  • Collaborate with senior engineers to design, develop, and implement AI/ML solutions supporting business initiatives.
  • Assist with the creation and optimization of data pipelines supporting large-scale enterprise data processing across various systems.
  • Perform data preprocessing, cleaning, validation, and sanitization to prepare datasets for machine learning applications.
  • Develop, test, and maintain code using Python and/or TypeScript while ensuring quality and reliability.
  • Participate in software development lifecycle (SDLC) activities, including code reviews, unit testing, sprint planning, and Agile/Scrum processes.
  • Research and evaluate emerging Artificial Intelligence technologies, frameworks, and methodologies to improve system capabilities and efficiency.
  • Assist with documenting technical architectures, workflows, processes, and experimental results using Microsoft Office and technical visualization tools.
  • Collaborate with cross-functional teams to support the implementation and enhancement of AI-driven solutions.
  • Perform other duties and responsibilities as assigned.

Requirements

Your Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Software Engineering, or a related STEM discipline.
  • Coursework, projects, or research experience focused on Artificial Intelligence, Machine Learning, data science, or computational mathematics preferred.
  • Strong academic standing with a desire to apply theoretical knowledge to practical industry applications.
  • Previous internship, academic project, or hands-on experience with software development, data analysis, or AI/ML concepts preferred.
Your Skills
  • Proficiency in Python and/or TypeScript with a strong foundation in software development principles.
  • Familiarity with Artificial Intelligence and Machine Learning concepts, including Generative AI, Agentic AI, RAG, LangChain, LangGraph, and Vertex AI.
  • Basic understanding of databases, including SQL, NoSQL, and vector databases.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
  • Strong analytical, problem-solving, and communication skills with attention to detail.
  • Ability to collaborate effectively in a team-oriented environment and demonstrate a willingness to learn emerging technologies.

Benefits

About Cynet

Headquartered in the Washington, D.C. metro area, Cynet Systems is an award-winning and one of the fastest growing workforce solutions companies that help our clients realize their talent potential through custom staffing & recruiting solutions. Since its humble inception in 2010, Cynet has had a presence in all 50 States and over 2000 people strong spread across the US. For more information, please visit our website, www.cynetsystems.com