1

Neural Engineer Jobs in Allen, TX (NOW HIRING)

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

... Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance. 3plus years of hands-on experience with Python and/or R programming and statistical packages, and ML ...

Research Scientist II

Plano, TX · On-site

  • Medical

  • Retirement

Tissue engineering * Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural interfaces, or implantable medical devices. * Experience working with multimodal datasets that ...

Tissue engineering * Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural interfaces, or implantable medical devices. * Experience working with multimodal datasets that ...

Tissue engineering * Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural interfaces, or implantable medical devices. * Experience working with multimodal datasets that ...

Basic understanding of deep learning fundamentals (neural networks, model training, evaluation ... Understanding of basic software engineering practices (version control with Git, writing readable ...

Basic understanding of deep learning fundamentals (neural networks, model training, evaluation ... Understanding of basic software engineering practices (version control with Git, writing readable ...

New

R&D Engineer

Dallas, TX · On-site

  • Retirement

  • PTO

... Neural Networks. • 2+ years of experience writing, revising, testing, and reviewing code ... Engineering Teams. You'll enjoy the opportunity to maximize your career with this integral role ...

Showing results 21-40

Neural Engineer information

See Allen, TX salary details

$55.3K

$103.8K

$188.8K

How much do neural engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for neural engineer in Allen, TX is $103,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $123,200.00 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 job categories do people searching Neural Engineer jobs in Allen, TX look for?

The top searched job categories for Neural Engineer jobs in Allen, TX are:

What cities near Allen, TX are hiring for Neural Engineer jobs?

Cities near Allen, TX with the most Neural Engineer job openings:

Infographic showing various Neural Engineer job openings in Allen, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $103,837 per year, or $49.9 per hour.

Full-time

Posted 13 days ago


Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities
  • Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.

  • Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.

  • Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.

  • Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

  • Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.

  • Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.

  • Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.

  • Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.

  • Participate in model testing, deployment, monitoring, and continuous improvement.

  • Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills
  • Strong proficiency in Python with major machine learning and deep learning libraries.

  • Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.

  • Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.

  • Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).

  • Experience with data preprocessing, feature engineering, SQL, and data manipulation.

  • Familiarity with AI model evaluation, optimization, and hyperparameter tuning.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills
  • Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Experience developing AI applications in both on-premises and cloud environments.

  • Knowledge of CI/CD pipelines and AI application deployment practices.

  • Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

  • Experience designing, developing, and deploying enterprise AI or Generative AI solutions.

  • Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.