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Full Time Neural Networks Jobs (NOW HIRING)

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

Princeton, NJ Full Time Job Requirements: * A minimum of three years of experience working as a ... Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc * Experienced in ...

SRP Systems Inc

Senior Data Scientist

Princeton, NJ

Princeton, NJ Full Time Job Requirements: * A minimum of three years of experience working as a ... Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc * Experienced in ...

Cmu

RFCyber 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

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

$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 · 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.

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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 May 31, 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 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 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 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
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Posted 10 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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