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Neuroscience Ai Machine Learning Jobs (NOW HIRING)

Cognizant

Senior AI / Machine Learning Engineer

$125.40K - $165.30K/yr

Cognizant is a leading technology company, and they are seeking a Senior AI / Machine Learning Engineer to design and deliver generative AI-driven applications and enterprise-grade ML solutions. The ...

SentinelOne

AI/Machine Learning Engineer Intern

$31/hr

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment.

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

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 ...

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 ...

Synergistic it

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

Synergistic it

AI & Machine Learning Engineer

San Diego, CA

$121.60K - $146K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

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

As of May 30, 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 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 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 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 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.

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 May 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 9% Physical, 1% Hybrid, and 90% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior AI / Machine Learning Engineer

Senior AI / Machine Learning Engineer

Cognizant

Remote

$125.40K - $165.30K/yr

Full-time

Posted 4 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants

Job description

Job Summary:
Cognizant is a leading technology company, and they are seeking a Senior AI / Machine Learning Engineer to design and deliver generative AI-driven applications and enterprise-grade ML solutions. The role involves collaborating with architects, developers, and business stakeholders to implement AI-powered solutions and optimize machine learning models.
Responsibilities:
• Design and develop AI-powered web applications using technologies such as.NET, React, and Python
• Build agentic AI solutions to automate software development lifecycle stages including requirement analysis, coding, testing, and deployment
• Develop and optimize prompt engineering strategies and leverage orchestration frameworks such as LangChain or LlamaIndex
• Train, fine-tune, and deploy large language models (LLMs) and generative AI models for performance, scalability, and cost efficiency
• Architect and implement RAG (Retrieval-Augmented Generation) pipelines and integrate AI APIs into enterprise systems
• Develop ML models integrated with ASP.NET applications, including building C# APIs and REST/gRPC endpoints for inference
• Manage and preprocess structured and unstructured datasets to improve model quality and reduce bias
• Monitor and maintain AI solutions in production using LLMOps practices, ensuring compliance with data privacy and ethical standards
Qualifications:
Required:
• 3+ years of machine learning engineering experience with hands-on model development and deployment
• Strong programming skills in Python and ASP.NET/C#
• Experience working with Azure cloud platform (2+ years)
• Experience deploying and maintaining production-grade ML systems
• Experience building APIs and integrating ML models into enterprise applications
Preferred:
• Experience in the financial services or fintech domain
• Bachelor’s degree in computer science, Machine Learning, Statistics, or related field
• Experience working in financial services organizations (3+ years)
• Deep expertise in Azure ecosystem and AI services
• Relevant Azure certifications (AZ-204, AZ-305, or similar)
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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