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Neuroscience Ai Machine Learning Jobs (NOW HIRING)

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

SynergisticIT

AI & Machine Learning Engineer

Boston, MA · On-site

AI & Machine Learning Engineer SYNERGISTICIT wants every job seeker to be aware that the job market is challenging and to stand out you need to have exceptional skills and technologies which make you ...

Onyx Point, Inc.

AI Machine Learning Skill

Hanover, MD · On-site +1

$78K - $250K/yr

CITIZENSHIP REQUIRED) The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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Neuroscience Ai Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jun 23, 2026, the average yearly pay for neuroscience ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

How to become an AI neuroscientist?

To become an AI neuroscientist, one typically needs a strong educational background in neuroscience, computer science, or related fields, often requiring a PhD or master's degree. Gaining skills in machine learning, programming (such as Python), and data analysis is essential, along with experience in neuroimaging or neural data. Developing expertise in both neuroscience and artificial intelligence enables research at the intersection of these disciplines.

Which 3 jobs will survive AI?

In the field of neuroscience AI and machine learning, roles such as research scientists, data scientists, and AI engineers are likely to persist due to their reliance on complex problem-solving, creativity, and domain expertise. These jobs require advanced knowledge of neuroscience, programming skills, and the ability to interpret and develop new algorithms, making them less susceptible to automation.

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 salary of an AI neuroscientist?

An AI neuroscientist typically earns between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and neuroimaging can earn higher salaries, especially in research institutions or tech companies.

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, and why are they important?

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.

Is neuroscience useful for AI?

Neuroscience is useful for AI, especially in developing neural network models inspired by the human brain. Understanding neural processes helps improve machine learning algorithms, pattern recognition, and cognitive computing systems used in AI development.
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Neuroscience Ai Machine Learning jobs near you
Infographic showing various Neuroscience Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
AI / Machine Learning Lead

AI / Machine Learning Lead

RIVIDIUM

Alexandria, VA • Hybrid

Full-time

Posted 25 days ago

Job description

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps deliver mission-focused outcomes for service members, families, and related stakeholders. Implements PWS C.5.3.13 Innovation initiatives; develops AI/ML models, integrates automation pipelines, and ensures secure deployment in DoD environments. This position is contingent upon contract award.

Key Responsibilities

  • Lead AI and machine learning initiatives that support modernization, automation, and advanced analytics objectives.
  • Build or refine models, workflows, and supporting data processes in secure environments.
  • Coordinate with data, engineering, and stakeholder teams to translate use cases into practical solutions.
  • Help ensure AI/ML solutions are measurable, supportable, and responsibly deployed.

Basic Qualifications

  • Bachelor?s degree in a relevant discipline or equivalent professional experience.
  • Relevant experience aligned to the role and labor category; openings may be filled at Lead (15+ yrs).
  • Ability to satisfy applicable Government personnel security requirements for the assigned role. For IT and cybersecurity workforce positions, applicable DoD 8140 training and certification requirements will apply upon award.
  • Strong communication, teamwork, and documentation skills in a mission-focused delivery environment.

Preferred Qualifications

  • Experience with data pipelines, dashboards, visualization tools, analytics, or reporting automation, as applicable to the role.
  • Ability to translate operational data into actionable insights for technical and non-technical stakeholders.
  • Experience with data quality, governance, and performance metrics in enterprise environments.

Work Setting

This role is expected to support work in the Alexandria, Virginia area, with on-site support at the DoD Mark Center or other customer-approved locations as required. Hybrid support in the Alexandria, Virginia area is expected, with on-site support as required by the customer.

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