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Neural Engineer Jobs in Phoenix, AZ (NOW HIRING)

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Experience building AIML products using technologies such as LLMs neural networks and others

Forhyre

Prompt Engineers

Phoenix, AZ

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 ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in ... neural networks (PINNs), digital twins, and high-fidelity model surrogates. • Research, develop ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $127K/yr

Strong expertise in AI frameworks such as TensorFlow, PyTorch, or similar, with a deep understanding of neural networks and deep learning techniques * Proficiency in programming languages including ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

... in programming languages such as Python and SQL. - Experience with time series forecasting techniques (e.g., Prophet, ARIMA, Holt-Winters, neural networks). - Strong problem-solving skills and ...

ProKatchers LLC

Stormwater Engineer, Sr.

Scottsdale, AZ · On-site

$115.07/hr

... neural modeling technology, have successfully taken what used to be more of an art and a hope ... Job Title: Sr. Stormwater Engineer Location: Scottsdale, AZ 85251 Duration: 8 Months+ with high ...

ProKatchers LLC

Stormwater Engineer, Sr.

Scottsdale, AZ · On-site

$115.07/hr

... neural modeling technology, have successfully taken what used to be more of an art and a hope ... Job Title: Sr. Stormwater Engineer Location: Scottsdale, AZ 85251 Duration: 8 Months+ with high ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Phoenix, AZ

Neural Engineer information

See Phoenix, AZ salary details

$59.1K

$110.8K

$201.6K

How much do neural engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for neural engineer in Phoenix, AZ is $110,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $131,600.00 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 Phoenix, AZ? The most popular types of Neural Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Neural Engineer jobs in Phoenix, AZ? For Neural Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Phoenix, AZ look for? The top searched job categories for Neural Engineer jobs in Phoenix, AZ are:
Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $110,840 per year, or $53.3 per hour.

AIML Engineer

Staffingine LLC

Scottsdale, AZ • On-site

Contractor

Re-posted 4 days ago

Job description

Job Title: AIML Engineer
Job Location: Scottsdale - Arizona - USA
Job Type: Contract to Hire
 

Job Description:

  • Design and implement scalable MLOps supportive data pipelines for data ingestion processing and storage
  • Experience deploying models with MLOps tools such as Vertex Pipelines Kubeflow or similar platforms
  • Experience implementing and supporting endtoend Machine Learning workflows and patterns
  • Expert level programming skills in Python and experience with Data Science and ML packages and frameworks
  • Proficiency with containerization technologies Docker Kubernetes and CICD practices
  • Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML or related frameworks
  • Experience and knowledge in the most recent advancements in Gen AI including Gemini OpenAI Claud and exposure to opensource Large Language Models LLMs
  • Experience building AIML products using technologies such as LLMs neural networks and others
  • Experience in building AIML Apps using Flask or FastAPI
  • Experience with RAG and Supervised Tuning techniques
  • Strong distributed systems skills and knowledge
  • Development experience of at least one public cloud provider Preferably GCP
  • Excellent analytical written and verbal communication skills
  • Tech Stack Python SQL Docker Kubernetes FastAPI Flask MLOps Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML Vertex AI Build tools

Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS