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Neural Engineer Jobs in Georgia (NOW HIRING)

Intuit

AI Scientist 2

Atlanta, GA

Collaborate with product managers, software engineers, and designers in designing experiments and ... neural networks, large language models, recommender systems, natural language processing ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

Collaborate with product managers, software engineers, and designers in designing experiments and ... neural networks, large language models, recommender systems, natural language processing ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

Collaborate with product managers, software engineers, and designers in designing experiments and ... neural networks, large language models, recommender systems, natural language processing ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

Engineer and select relevant features for machine learning models, * enhancing their predictive ... Build and fine- tune machine learning algorithms, such as decision trees, random forests, neural ...

Accenture

Senior Data Scientist

Atlanta, GA · On-site

Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ... Design and implement deep-learning solutions using neural networks, transformers, convolutional ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and programming for data analysis and modeling. Exposure to tokenization or digital wallet ... learning, neural networks, and natural language processing) in a variety of environments using ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and programming for data analysis and modeling. Exposure to tokenization or digital wallet ... learning, neural networks, and natural language processing) in a variety of environments using ...

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Showing results 21-40

All JobsNeural Engineer JobsNeural Engineer Jobs in Georgia

Neural Engineer information

See Georgia salary details

$50.2K

$94.3K

$171.4K

How much do neural engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for neural engineer in Georgia is $94,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $111,900.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are the most commonly searched types of Neural Engineer jobs in Georgia?

The most popular types of Neural Engineer jobs in Georgia are:

What are popular job titles related to Neural Engineer jobs in Georgia?

For Neural Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Neural Engineer jobs in Georgia look for?

The top searched job categories for Neural Engineer jobs in Georgia are:

What cities in Georgia are hiring for Neural Engineer jobs?

Cities in Georgia with the most Neural Engineer job openings:

Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Georgia as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,260 per year, or $45.3 per hour.

Data Scientist 2 4P/187

4P Consulting Inc.

Atlanta, GA

Contractor

Re-posted 14 days ago

Job description

Data Scientist (5–10 Years Experience)
Overview:

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets.

Key Responsibilities:

1. Data Analysis:

  • Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights.

  • Apply statistical techniques to derive meaningful information for business strategies.

2. Predictive Modeling:

  • Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes.

  • Utilize techniques such as regression analysis, classification, and clustering.

3. Data Visualization:

  • Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn).

  • Effectively communicate insights to both technical and non-technical stakeholders.

4. Hypothesis Testing:

  • Formulate and test hypotheses to statistically validate business decisions and recommendations.

5. Feature Engineering:

  • Engineer and select relevant features to optimize the performance of machine learning models.

6. Algorithm Development:

  • Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks.

7. Data Integration:

  • Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses.

8. Model Deployment:

  • Deploy machine learning models into production environments to support real-time analytics and decision-making.

9. A/B Testing:

  • Design and evaluate A/B tests to assess the impact of process or product changes.

10. Data Ethics:

  • Ensure data handling practices meet ethical standards, including privacy and compliance with regulations.

11. Cross-functional Collaboration:

  • Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals.

12. Mentorship:

  • Provide guidance and mentorship to junior data scientists and analysts to support team development.

13. Continuous Learning:

  • Stay updated on the latest data science tools, trends, and best practices through professional development.

Qualifications:

  • Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).
    Master’s or Ph.D. is a plus.

  • Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis.

  • Programming Languages & Tools: Proficiency in Python, R, or Julia.

  • Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn).

  • Database Skills: Strong understanding of databases and SQL-based data manipulation.

  • Additional Skills:

    • Advanced problem-solving and critical thinking abilities.

    • Strong communication skills for conveying technical findings to diverse audiences.

    • Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

    • Awareness of data ethics and regulatory compliance.