Technology & Development Operations (TDO) sits within Platform & Ecosystem Engineering, part of the ... Understanding of machine learning models, including large language models (LLMs) and other neural ...
Technology & Development Operations (TDO) sits within Platform & Ecosystem Engineering, part of the ... Understanding of machine learning models, including large language models (LLMs) and other neural ...
Expert Data Scientist
Augusta, GA · On-site
... rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready ... Apply data science techniques -- regression, NLP, clustering, neural networks, deep learning, image ...
Expert Data Scientist
Augusta, GA · On-site
... rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready ... Apply data science techniques -- regression, NLP, clustering, neural networks, deep learning, image ...
Technology & Development Operations (TDO) sits within Platform & Ecosystem Engineering, part of the ... Understanding of machine learning models, including large language models (LLMs) and other neural ...
Technology & Development Operations (TDO) sits within Platform & Ecosystem Engineering, part of the ... Understanding of machine learning models, including large language models (LLMs) and other neural ...
Machine Learning Engineering Manager
Atlanta, GA · On-site
$148K - $266K/yr
You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and ... Experience training deep neural nets, such as CNN and transformers and proficiency in least one ...
Machine Learning Engineering Manager
Atlanta, GA · On-site
$148K - $266K/yr
You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and ... Experience training deep neural nets, such as CNN and transformers and proficiency in least one ...
Engineer and select relevant features to optimize the performance of machine learning models. 6. ... Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural ...
Quick apply
Engineer and select relevant features to optimize the performance of machine learning models. 6. ... Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural ...
AI Engineer/ML Engineer - Senior Developers - AI Training - Atlanta, US
Atlanta, GA · On-site +1
$80/hr
... neural network architectures (Transformers, CNNs, RNNs) and optimization techniques. * LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human ...
Quick apply
AI Engineer/ML Engineer - Senior Developers - AI Training - Atlanta, US
Atlanta, GA · On-site +1
$80/hr
... neural network architectures (Transformers, CNNs, RNNs) and optimization techniques. * LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human ...
Data Scientist II
Atlanta, GA · On-site
Neural Networks * Gradient Boosting models Feature Engineering & Model Optimization * Engineer and select relevant features to improve model performance * Fine-tune model parameters and validate ...
Quick apply
Data Scientist II
Atlanta, GA · On-site
Neural Networks * Gradient Boosting models Feature Engineering & Model Optimization * Engineer and select relevant features to improve model performance * Fine-tune model parameters and validate ...
Senior Software Engineer (Gen AI)
Atlanta, GA · On-site
$117K - $155K/yr
... neural networks, and related frameworks. * Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL) * ...
Senior Software Engineer (Gen AI)
Atlanta, GA · On-site
$117K - $155K/yr
... neural networks, and related frameworks. * Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL) * ...
... neural circuits in the brain process information. * Experiments may include dissections and ... Experience working with Drosophila, using neuroscience techniques, and/or programming will be ...
... neural circuits in the brain process information. * Experiments may include dissections and ... Experience working with Drosophila, using neuroscience techniques, and/or programming will be ...
... neural circuits in the brain process information. * Experiments may include dissections and ... Experience working with Drosophila, using neuroscience techniques, and/or programming will be ...
... neural circuits in the brain process information. * Experiments may include dissections and ... Experience working with Drosophila, using neuroscience techniques, and/or programming will be ...
... neural circuits in the brain process information. * Experiments may include dissections and ... Experience working with Drosophila, using neuroscience techniques, and/or programming will be ...
... neural circuits in the brain process information. * Experiments may include dissections and ... Experience working with Drosophila, using neuroscience techniques, and/or programming will be ...
Cassandra with Java
Atlanta, GA · On-site
$46.50 - $60.25/hr
... Neural Networks/ Deep Learning Must To have Skill NoSQL/MongoDB/Cassandr/CouchDB
Cassandra with Java
Atlanta, GA · On-site
$46.50 - $60.25/hr
... Neural Networks/ Deep Learning Must To have Skill NoSQL/MongoDB/Cassandr/CouchDB
... graph neural network models for real-world use cases * 6+ years of proven experience with cloud ... Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ...
... graph neural network models for real-world use cases * 6+ years of proven experience with cloud ... Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ...
... learning, neural networks, and natural language processing) in a variety of environments using ... or Engineering, or equivalent education and related training • Exhibit understanding of ...
... learning, neural networks, and natural language processing) in a variety of environments using ... or Engineering, or equivalent education and related training • Exhibit understanding of ...
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 ...
Quick apply
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 ...
Software Product Architect
Atlanta, GA · On-site
... forests, neural networks, clustering, and text mining * Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube
Software Product Architect
Atlanta, GA · On-site
... forests, neural networks, clustering, and text mining * Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube
Software Product Architect
Atlanta, GA · On-site
... forests, neural networks, clustering, and text mining * Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube
Software Product Architect
Atlanta, GA · On-site
... forests, neural networks, clustering, and text mining * Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube
Experience training, finetuning, or evaluating neural network-based models as part of applied machine learning solutions. * Experience in applying software engineering best practices to data science ...
Experience training, finetuning, or evaluating neural network-based models as part of applied machine learning solutions. * Experience in applying software engineering best practices to data science ...
Senior Data Scientist II
Alpharetta, GA · On-site
Experience training, finetuning, or evaluating neural network-based models as part of applied machine learning solutions. * Experience in applying software engineering best practices to data science ...
Senior Data Scientist II
Alpharetta, GA · On-site
Experience training, finetuning, or evaluating neural network-based models as part of applied machine learning solutions. * Experience in applying software engineering best practices to data science ...
AI & GenAI Data Scientist-Senior Associate
Atlanta, GA · On-site
$77K - $202K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...
AI & GenAI Data Scientist-Senior Associate
Atlanta, GA · On-site
$77K - $202K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...
Neural Engineering information
See Georgia salary details
$9.34 - $10.76
2% of jobs
$10.76 - $12.18
4% of jobs
$13.60 is the 25th percentile. Wages below this are outliers.
$12.18 - $13.60
19% of jobs
$13.60 - $15.02
24% of jobs
The median wage is $15.11 / hr.
$15.02 - $16.44
17% of jobs
$17.29 is the 75th percentile. Wages above this are outliers.
$16.44 - $17.86
16% of jobs
$17.86 - $19.28
6% of jobs
$19.28 - $20.70
5% of jobs
$20.70 - $22.12
3% of jobs
$22.12 - $23.55
3% of jobs
$23.55 - $24.97
1% of jobs
$9
$16
$24
How much do neural engineering jobs pay per hour?
As of Jun 14, 2026, the average hourly pay for neural engineering in Georgia is $16.31, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $17.64 per hour, depending on experience, location, and employer.
How much are neural engineers paid?
Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.
What is neural engineering?
Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.
What engineers make $500,000?
Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.
What are the key skills and qualifications needed to thrive as a Neural Engineer, and why are they important?
To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.
What can you do with a neural engineering degree?
A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.
What is the salary of a neuroengineer?
The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.
What Are Jobs in Neural Engineering?
Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.
What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?
Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are popular job titles related to Neural Engineering jobs in Georgia? For Neural Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Georgia look for? The top searched job categories for Neural Engineering jobs in Georgia are:
What cities in Georgia are hiring for Neural Engineering jobs? Cities in Georgia with the most Neural Engineering job openings:
Full-time
Medical, Retirement
Posted 20 days ago
BlackRock rating
7.8
Based on 14 frontline employees who took The Breakroom Quiz
Job description
About this role
About BlackRock
Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, and tackling some of the world's most interesting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? Look no further!
At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual.
As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals! The firm manages approximately $14 trillion in assets on behalf of investors worldwide. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions.
About Team:
Technology & Development Operations (TDO) sits within Platform & Ecosystem Engineering, part of the firm's Platform Enablement organization. Platform Enablement is a horizontal capability focused on scaling execution, modernizing foundational platforms, and accelerating delivery across Business Operations and Client Services in close partnership with Aladdin Engineering.
TDO operates at the intersection of business process, technology, and delivery. We work directly with operational teams to identify workflow challenges, translate business needs into technical solutions, and build pragmatic tools and automations that improve scale, resilience, and efficiency across core operating platforms.
The role is part of the Technology & Development Operations team, and is responsible for designing, developing, and delivering technical solutions to the organization's workflow challenges. The role requires a deep understanding of the functions within Business Operations and Client Services to better comprehend the challenges faced by these functions.
Key Responsibilities:
Solution Design & Development
Design, build, and maintain targeted technical solutions to address workflow inefficiencies and scaling challenges.
Develop tools, automations, data-driven utilities, and AIenabled solutions that are productionminded and businessfocused.
Apply sound objectoriented programming principles and basic software design patterns, with an emphasis on readability, maintainability, and correctness.
Business Analysis & Problem Framing
Partner closely with business stakeholders to understand currentstate processes, identify gaps or risks, and translate needs into clear technical requirements.
Break down ambiguous problems into actionable solution approaches, balancing technical elegance with practical delivery constraints.
Validate that delivered solutions meaningfully address the original business problem and drive measurable benefit.
Delivery & Execution
Own discrete pieces of work from intake through delivery, including scoping, prioritization, testing, and rollout.
Where appropriate, play a projectmanagement role to ensure dependencies, timelines, and risks are clearly understood.
Platform & Stakeholder Engagement
Work alongside internal technology teams and platform partners to align solutions with broader platform standards and capabilities.
Support adoption by documenting solutions, walking users through changes, and incorporating feedback into iterative improvements.
Help ensure delivered solutions are supportable, resilient, and aligned with risk and operational discipline.
Skills/Qualifications:
Bachelor's degree in Computer Science, Engineering, Finance, Information Systems, or a related field (or equivalent practical experience).
3-6 years of experience in a Developer or Business Analyst role, with exposure to developing and implementing AI-based solutions preferred.
Proficiency and hands-on experience with Python programming language as well as strong SQL and database knowledge, including writing productionquality scripts, queries, or small applications.
Familiarity with version control (e.g., Git) and development workflows (e.g., Azure DevOps).
Exposure to Agile methodologies (backlogs, sprints, iterative delivery).
Working knowledge of objectoriented programming concepts and basic software design principles.
Exposure to cloud platforms or AIenabled tooling (e.g., Azurebased services, automation frameworks, or LLMenabled solutions).
Understanding of machine learning models, including large language models (LLMs) and other neural networks.
Interest in the investment management industry and investment products.
Competencies:
The ability to manage projects from inception to completion, ensuring that they are delivered on time and within time estimates.
Comfortable operating in ambiguous problem spaces and helping shape both the question and the answer.
Able to switch between developer mindset and business analyst mindset as the situation requires.
Curious about emerging technology and automation, with good judgment about where it adds real value.
Collaborative, accountable, and comfortable working across teams and functions.
Excellent verbal and written communication skills (in English) to convey sophisticated concepts simply and clearly
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock| LinkedIn:www.linkedin.com/company/blackrock
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.