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Internship Machine Learning Neuroscience Jobs in Washington

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Showing results 41-60

Internship Machine Learning Neuroscience information

What are the key skills and qualifications needed to thrive as an internship machine learning neuroscience, and why are they important?

To thrive in an Internship Machine Learning Neuroscience role, you generally need a background in neuroscience, computer science, or a related field, along with a solid understanding of machine learning concepts. Experience with programming languages such as Python, libraries like TensorFlow or PyTorch, and familiarity with neuroimaging software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you work collaboratively and adapt to complex research environments. These skills are essential for contributing meaningfully to interdisciplinary projects at the intersection of neuroscience and artificial intelligence.

What is the difference between Internship Machine Learning Neuroscience vs Internship Data Science?

AspectInternship Machine Learning NeuroscienceInternship Data Science
Required CredentialsBackground in neuroscience, machine learning, programmingBackground in statistics, programming, data analysis
Work EnvironmentResearch labs, healthcare, academia, tech companiesBusiness, tech firms, research institutions
Industry UsageNeuroscience research, AI development, healthcare techBusiness analytics, product development, consulting

Internship Machine Learning Neuroscience focuses on applying machine learning techniques to neuroscience data, often within research or healthcare settings. In contrast, Internship Data Science covers a broader range of data analysis across industries. Both roles require programming skills, but the focus and industry applications differ significantly.

What is an internship in machine learning neuroscience?

An Internship in Machine Learning Neuroscience is a temporary position, often for students or recent graduates, that involves applying machine learning techniques to neuroscience research. Interns may work on projects such as analyzing brain imaging data, modeling neural networks, or developing algorithms to understand brain function. These internships provide hands-on experience in both computational methods and neuroscience concepts, helping interns build valuable skills for future academic or industry roles. Opportunities can be found in universities, research institutes, or technology companies with neuroscience divisions.

What types of projects do interns typically work on in a machine learning neuroscience internship?

Interns in Machine Learning Neuroscience often engage in projects that combine data analysis, algorithm development, and neuroscience research. This can include tasks such as preprocessing neural data, building and evaluating machine learning models to interpret brain signals, or developing tools for data visualization. Interns frequently collaborate with both data scientists and neuroscientists, gaining hands-on experience with real-world datasets and exposure to interdisciplinary research environments. These projects help interns build practical skills and contribute meaningful insights to ongoing research.
What cities in Washington are hiring for Internship Machine Learning Neuroscience jobs? Cities in Washington with the most Internship Machine Learning Neuroscience job openings:

Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch

Annapolis Junction, MD โ€ข On-site

$55.28 - $72.11/hr

Full-time

Re-posted 15 days ago


Job description

Job TitleArtificial Intelligence/Machine Learning Engineer, JuniorOverview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. ย We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can't wait.

Qualifications

You Have:ย 

  • 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
  • Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
  • Familiarity with standard data science libraries and development tools
  • Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
  • Ability to collaborate within a team and communicate technical concepts clearly
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master's degree with limited experience

Nice If You Have:ย 

  • Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
  • Experience with version control tools such as Git and collaborative development environments
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow
  • Knowledge of large language models (LLMs) and generative AI concepts
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization technologies such as Docker or Kubernetes
  • Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
  • Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environmentsย 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.ย 

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55.28 to $72.11 per hour.ย  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance LevelTS/SCI CIPJob LocationsUS-MD-Annapolis JunctionSkillsAI/ML, LLM, API, PythonMinMaxEmployment Type: OTHER