Senior Deep Learning Engineer
Austin, TX · On-site +1
$130K - $180K/yr
Your primary focus will be optimizing neural networks to efficiently run on our hardware and ... These are permanent full time remote positions.
Quick apply
Senior Deep Learning Engineer
Austin, TX · On-site +1
$130K - $180K/yr
Your primary focus will be optimizing neural networks to efficiently run on our hardware and ... These are permanent full time remote positions.
Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
Austin, TX · Remote
$103K - $142K/yr
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values ... Your work will involve using cutting-edge industry tools, including neural networks (NNs), large ...
Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
Austin, TX · Remote
$103K - $142K/yr
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values ... Your work will involve using cutting-edge industry tools, including neural networks (NNs), large ...
Software Engineer, CI/CD
Austin, TX · Remote
... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...
Software Engineer, CI/CD
Austin, TX · Remote
... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...
DATA SCIENTIST
Austin, TX · Remote
... programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience with neural network ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...
DATA SCIENTIST
Austin, TX · Remote
... programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience with neural network ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...
Senior AI / Machine Learning Engineer
Austin, TX · Remote
$115K - $200K/yr
... Graph Neural Networks (GNNs). * Own end-to-end training pipelines, from dataset interfaces and ... Flexible remote or hybrid work arrangements. How to Apply Please submit your resume and a brief ...
Quick apply
Senior AI / Machine Learning Engineer
Austin, TX · Remote
$115K - $200K/yr
... Graph Neural Networks (GNNs). * Own end-to-end training pipelines, from dataset interfaces and ... Flexible remote or hybrid work arrangements. How to Apply Please submit your resume and a brief ...
Software Engineer 3
Austin, TX · On-site +1
$57 - $76.50/hr
... Neural Networks (CNN), and auto-encoders (1 year) 5. Working with multiple programming languages ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...
Software Engineer 3
Austin, TX · On-site +1
$57 - $76.50/hr
... Neural Networks (CNN), and auto-encoders (1 year) 5. Working with multiple programming languages ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...
Remote Neural Engineer information
See Georgetown, TX salary details
$55.3K - $67.4K
14% of jobs
$74.6K is the 25th percentile. Wages below this are outliers.
$67.4K - $79.5K
19% of jobs
$79.5K - $91.6K
12% of jobs
The median wage is $95.8K / yr.
$91.6K - $103.8K
17% of jobs
$103.8K - $115.9K
12% of jobs
$118K is the 75th percentile. Wages above this are outliers.
$115.9K - $128K
14% of jobs
$128K - $140.1K
7% of jobs
$140.1K - $152.2K
3% of jobs
$152.2K - $164.4K
0% of jobs
$164.4K - $176.5K
1% of jobs
$176.5K - $188.6K
2% of jobs
$55.3K
$103.7K
$188.6K
How much do remote neural engineer jobs pay per year?
As of Jul 26, 2026, the average yearly pay for remote neural engineer in Georgetown, TX is $103,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $123,100.00 per year, depending on experience, location, and employer.
What is a Remote Neural Engineer?
A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.
What are the key skills and qualifications needed to thrive as a Remote Neural Engineer, and why are they important?
To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.
What engineers make $300,000 a year?
Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech environments. Such roles often require advanced degrees, certifications, and a strong portfolio of research or projects.
How do Remote Neural Engineers typically collaborate with cross-functional teams while working off-site?
Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.
What engineers make $500,000?
Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech sectors. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.
What is the difference between Remote Neural Engineer vs Remote Data Scientist?
| Aspect | Remote Neural Engineer | Remote Data Scientist |
|---|---|---|
| Required Credentials | Degree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfaces | Degree in computer science, statistics, or related fields; proficiency in data analysis |
| Work Environment | Research labs, tech companies, healthcare institutions with focus on neural data | Tech firms, finance, healthcare, analyzing large datasets |
| Industry Usage | Neuroscience, biomedical engineering, neurotechnology | Technology, finance, healthcare, research |
| Common Search/Comparison | Yes | Yes |
Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.
Is neuroengineering a good career?
Neuroengineering is a growing field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.
Can you work remotely as an AI engineer?
Remote work is common for AI engineers, including those specializing in neural engineering, as many companies offer remote positions that involve programming, data analysis, and model development. Successful remote AI engineers typically have strong communication skills, proficiency with tools like Python and TensorFlow, and a reliable internet connection. However, some roles may require on-site presence for hardware setup or collaboration, depending on the company's policies.
What job categories do people searching Remote Neural Engineer jobs in Georgetown, TX look for? The top searched job categories for Remote Neural Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Neural Engineer jobs? Cities near Georgetown, TX with the most Remote Neural Engineer job openings:
$130K - $180K/yr
Full-time
Posted 15 days ago
Job description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
About Targeted Talent
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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
Vancouver, BC, CA