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Full Time Neural Networks Jobs (NOW HIRING)

Designworks Talent

Senior Applied Scientist

Seattle, WA · On-site

$200K - $250K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.

Designworks Talent

Senior Applied Scientist

Seattle, WA · Remote

$200K - $250K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.

Cmu

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14.50 - $19.50/hr

Artificial neural networks design and implementation * Spiking temporal neural network ... Location Pittsburgh, PA Job Function Non-CMU Students Position Type Intern (Fixed Term) Full time ...

Designworks Talent

Staff Applied Scientist

Seattle, WA · Remote

$220K - $275K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.

Designworks Talent

Staff Applied Scientist

Seattle, WA · On-site

$220K - $275K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Irving, TX - Fulltime Position Data Scientist with Generative AI Expertise * Programming languages ... Strong understanding of supervised and unsupervised learning, neural networks, transformers

Inizio Partners

Data Scientist

Houston, TX · On-site +1

Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework ... or full-time academic research Preferred Qualifications: * Advanced Degree (MS or PhD) in ...

Root Access Inc

PhD Fellowship

New York, NY · On-site

$126K/yr

This is a unique opportunity to lead research on physics-informed neural networks. You will work ... Fellows are encouraged to go full-time with us during the fall 2026 season but we are open to ...

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Full Time Neural Networks information

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$38.5K

$103.9K

$179K

How much do full time neural networks jobs pay per year?

As of Jul 23, 2026, the average yearly pay for full time neural networks in the United States is $103,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by professionals working full-time with neural networks, and how can they be managed?

Professionals working full-time with neural networks often encounter challenges such as handling large and complex datasets, ensuring model generalization, and optimizing computational resources. Staying updated with rapidly evolving frameworks and techniques can also be demanding. Collaborating closely with data engineers, software developers, and domain experts helps in addressing these challenges effectively and ensures the successful deployment and scalability of neural network models.

What are the key skills and qualifications needed to thrive as a Neural Networks Engineer, and why are they important?

To thrive as a Neural Networks Engineer, you need a strong background in mathematics, deep learning theory, programming (especially Python), and a relevant degree such as computer science or engineering. Proficiency with frameworks like TensorFlow or PyTorch, as well as experience with cloud platforms and version control systems, is typically expected. Analytical thinking, creativity in problem-solving, and effective communication help distinguish top performers in this field. These skills are vital for designing, implementing, and optimizing neural network models that solve complex real-world problems efficiently.

What are full-time neural network jobs?

Full-time neural network jobs are positions where professionals work primarily with artificial neural networks and deep learning models. These roles typically involve developing, training, and deploying neural network architectures for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in these jobs often have backgrounds in computer science, mathematics, or engineering, and work in industries like tech, healthcare, finance, and automotive. The work is usually project-based and may require collaboration with data scientists, engineers, and product managers.

What is the difference between Full Time Neural Networks vs Data Scientist?

AspectFull Time Neural NetworksData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of neural network frameworksDegree in Statistics, Computer Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning projects, deep learning researchData analysis, predictive modeling, business insights

Full Time Neural Networks specialists focus on designing and implementing neural network models for AI applications, often within research or development teams. Data Scientists analyze data to extract insights and build predictive models, sometimes utilizing neural networks. While both roles require programming skills and a background in data or AI, their primary focus and work environments differ. Understanding these distinctions helps in choosing the right career path or job search focus.

What cities are hiring for Full Time Neural Networks jobs? Cities with the most Full Time Neural Networks job openings:
What are the most commonly searched types of Neural Networks jobs? The most popular types of Neural Networks jobs are:
What states have the most Full Time Neural Networks jobs? States with the most job openings for Full Time Neural Networks jobs include:
Full Time Neural Networks jobs near you
RF Cyber Lab Intern

RF Cyber Lab Intern

Software Engineering Institute

Pittsburgh, PA • On-site

$14.50 - $19.50/hr

Full-time

Posted 13 days ago

Job description

What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The core purpose here isn't helping someone achieve software process nirvana though - we want highly resilient RF communications in contested environments.
Position Summary: We seek an intern with knowledge of temporal neural network design as well as the fundamentals of digital signal processing to help develop and refine novel detection and classification techniques of RF signals across various architectures.
Requirements:
  • Enrolled in a masters or other post-graduate program
  • Have a bachelors in electrical or computer engineering
  • Previously taken or enrolled in CMU 18-743 or equivalent
  • Engagement with CMU-NCA Lab
  • Ability to work in a lab as needed on the CMU Pittsburgh campus
  • You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship.

Knowledge, Skills and Abilities:
  • Signal processing fundamentals
  • Artificial neural networks design and implementation
  • Spiking temporal neural network implementation
  • Strong programming ability and analytical skills

Job Function Breakdown:
70% Development and analysis of RF signal detection and classification
20% Collection, preparation, collation of sample RF data for processing
10% Development of other signal processing algorithms and systems
TOTAL = 100%
Position in office 5 days a week.
Location
Pittsburgh, PA
Job Function
Non-CMU Students
Position Type
Intern (Fixed Term)
Full time/Part time
Full time
Pay Basis
HourlyMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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