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Neuroscience Ai Machine Learning Jobs in Virginia

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Contribute to AI product development activities across the lifecycle, including prototyping ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Stay current with trends and developments in the AI, machine learning, and healthcare technology communities. How You'll Strengthen Our Team: Qualifications: * Bachelor's or Master's Degree with 1 or ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

Key Responsibilities Design and implement agentic AI systems capable of planning, tool use, memory ... machine learning, AI engineering, or applied ML Strong proficiency in Python for ML and backend ...

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Neuroscience Ai Machine Learning information

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$25.3K

$42.2K

$87.2K

How much do neuroscience ai machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for neuroscience ai machine learning in Virginia is $42,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in Neuroscience AI and Machine Learning, and how can they be addressed?

Professionals in Neuroscience AI and Machine Learning often encounter challenges such as integrating complex neural data with AI models, handling large and noisy datasets, and ensuring their algorithms are interpretable and clinically relevant. Collaborating closely with neuroscientists, clinicians, and data engineers is essential to address these hurdles. Staying updated on the latest research, leveraging robust data preprocessing techniques, and participating in interdisciplinary team meetings can help overcome these challenges and contribute to innovative solutions in the field.

What is the difference between Neuroscience Ai Machine Learning vs Data Scientist?

AspectNeuroscience Ai Machine LearningData Scientist
Required CredentialsBackground in neuroscience, AI, machine learning, programming skillsDegree in data science, statistics, computer science, or related fields
Work EnvironmentResearch labs, healthcare, biotech, academiaTech companies, finance, marketing, healthcare
Industry UsageNeuroscience research, AI development for brain-related applicationsData analysis, predictive modeling, business insights across industries

Neuroscience Ai Machine Learning focuses on applying AI and machine learning techniques specifically to neuroscience research and brain-related applications, often requiring specialized knowledge in neuroscience. Data Scientists have a broader scope, working with data analysis and modeling across various industries. While both roles involve machine learning skills, their focus areas and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a Neuroscience AI Machine Learning specialist?

To thrive as a Neuroscience AI Machine Learning Specialist, you need a strong background in neuroscience, machine learning, and data analysis, often supported by an advanced degree in a related field (e.g., neuroscience, computer science, or bioinformatics). Expertise in programming languages like Python or MATLAB, familiarity with deep learning frameworks (such as TensorFlow or PyTorch), and experience with neuroimaging tools are typically required. Strong problem-solving abilities, curiosity, and effective interdisciplinary communication are valuable soft skills. These competencies are essential for innovatively analyzing complex neural data and developing AI-driven solutions that advance neuroscience research.

What is a Neuroscience AI Machine Learning specialist?

A Neuroscience AI Machine Learning specialist is a professional who applies artificial intelligence and machine learning techniques to analyze and interpret data related to the brain and nervous system. They work at the intersection of neuroscience, computer science, and data science to develop models that can help understand brain function, diagnose neurological disorders, or advance brain-computer interface technologies. Their work often involves processing complex datasets such as brain imaging or neural recordings, and building predictive models that contribute to both scientific discovery and healthcare innovation.
What are popular job titles related to Neuroscience Ai Machine Learning jobs in Virginia? For Neuroscience Ai Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Neuroscience Ai Machine Learning jobs in Virginia look for? The top searched job categories for Neuroscience Ai Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Neuroscience Ai Machine Learning jobs? Cities in Virginia with the most Neuroscience Ai Machine Learning job openings:
Neuroscience Ai Machine Learning jobs near you

Principal Research Scientist - AI & Machine Learning (Ashburn)

Novateur Research Solutions

Ashburn, VA • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.

Responsibilities
  • Serve as PI or co-PI on government-funded R&D programs.
  • Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.
  • Publish, present, and contribute thought leadership to the AI community.
  • Mentor research staff and guide proposal development.
Requirements
  • PhD with 7+ years of research experience.
  • Demonstrated leadership in ML, vision, or scientific computing.
  • Record of funding, publications, and technical impact.
Preferred
  • Experience with multimodal learning, uncertainty quantification, or causal inference.
Company Benefits

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

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