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Neuroscience Ai Machine Learning Jobs (NOW HIRING)

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

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AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

What You'll Do • Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI • Build intelligent agents, RAG solutions ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

Corning

AI/Machine Learning Engineer

Newton, NC

$82K - $112K/yr

Develop and implement AI/ML data science methodologies and AI Products that align with business objectives. * Apply data science techniques, such as machine learning, statistical modeling, and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

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All JobsNeuroscience Ai Machine Learning Jobs

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 Jul 14, 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.

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, 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.
More about Neuroscience Ai Machine Learning jobs
What cities are hiring for Neuroscience Ai Machine Learning jobs? Cities with the most Neuroscience Ai Machine Learning job openings:
What states have the most Neuroscience Ai Machine Learning jobs? States with the most job openings for Neuroscience Ai Machine Learning jobs include:
What job categories do people searching Neuroscience Ai Machine Learning jobs look for? The top searched job categories for Neuroscience Ai Machine Learning jobs are:
Neuroscience Ai Machine Learning jobs near you
Infographic showing various Neuroscience Ai Machine Learning job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Head of AI & Machine Learning

Head of AI & Machine Learning

Pivotal Solutions

San Francisco, CA • On-site

Full-time

Posted 29 days ago

Job description


As the Head of AI & Machine Learning, you will lead the development of transformative AI systems, leveraging generative AI and multi-agent architectures to deliver innovative solutions. Your work will focus on creating advanced, custom AI models that process complex, multi-modal data and provide actionable insights. Internally, you will enhance operational efficiency through AI-driven systems. Externally, you will redefine user experiences by delivering personalized, transparent, and accessible AI solutions.
Responsibilities
  • Lead the development and scaling of a multi-agent AI platform to deliver sophisticated, end-to-end solutions.
  • Enhance integration with foundation models while building custom AI capabilities tailored to specific needs.
  • Design and expand agent workflows to handle complex tasks and decision-making processes.
  • Develop specialized neural architectures optimized for domain-specific reasoning and decision-making.
  • Create purpose-built AI agents with capabilities beyond general-purpose models.
  • Engineer proprietary orchestration layers to enable seamless collaboration among AI agents.
  • Build advanced systems to extract insights from diverse data sources, including documents, market signals, and user inputs.
  • Design novel evaluation frameworks to measure performance, trust, and qualitative outcomes.
  • Implement intelligence loops to enable continuous knowledge accumulation from user interactions.
  • Create explainable AI decision pathways to ensure transparency for users and compliance with regulations.
  • Architect adaptive interfaces that evolve based on user behavior and preferences.
  • Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
  • Implement regulatory compliance guardrails to ensure adherence to industry standards.
  • Collaborate with leadership, engineering, operations, and design teams to integrate AI systems into products.
  • Stay at the forefront of AI innovation, researching and applying breakthrough techniques.

Requirements
Qualifications
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/ML research and development, preferably at leading AI labs or technology companies.
  • Expertise in large language models (LLMs), multi-agent systems, and AI orchestration.
  • Experience applying AI in high-stakes domains, such as finance or regulated industries, is highly valued.
  • Proven ability to design and implement agent-based systems for complex, real-world tasks.
  • Demonstrated success in building practical AI applications with transparency and explainability.
  • Proficiency in retrieval-augmented generation for knowledge-intensive applications.
  • Strong understanding of domain-specific data and decision-making processes.
  • Background in human-AI interaction design and explainable AI methodologies.
  • Experience building systems that learn from user feedback and improve over time.
  • Deep knowledge of privacy-preserving AI techniques for sensitive data.
  • Ability to translate business needs into robust AI architectures.
  • Expertise in balancing innovation with regulatory and compliance requirements.
  • Strong leadership and mentoring skills with experience guiding technical teams.
  • Excellent communication skills to collaborate with non-technical stakeholders.
  • Commitment to building accurate, reliable, and trustworthy AI systems.
  • Published research in AI/ML conferences or proven industry implementations.
  • Proficiency in Python and relevant ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).

Apply