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Full Time Neural Network Engineer Jobs (NOW HIRING)

Epsilon Systems Solutions

$121.80K - $167.20K/yr

Artificial neural network training * Programming: Python, C++, MATLAB, Go, PyTorch, TensorFlow, Keras * Image processing * Building graph databases * Building PostgreSQL databases with vector store ...

Polaris Inc.

Systems Engineer

Huntsville, AL · On-site

The Systems Engineer will support the development and enhancement of neural network-based vision systems, collaborating with various teams to ensure reliable and scalable solutions in a manufacturing ...

New

Adirondack Health

Network Engineer

Saranac Lake, NY · On-site

$27 - $44.22/hr

Network engineers choose suitable data communication components and configure them to meet ... Job Type: Full-Time Benefits of Working Full-Time at Adirondack Health: * Medical, Dental and ...

Adirondack Health

Network Engineer

Saranac Lake, NY · On-site

$27 - $44.22/hr

Network engineers choose suitable data communication components and configure them to meet ... Job Type: Full-Time Benefits of Working Full-Time at Adirondack Health: * Medical, Dental and ...

JS Consulting

Network Engineer

Baton Rouge, LA · On-site

Job Title- Network Engineer with Data Center Project Location - Baton Rouge LA 70803 - Hybrid Duration- Full-time Interview: WebEx Must have Valid LinkedIn profile. -: The Network Engineering role ...

femtoAI

Hardware Engineer

San Bruno, CA · On-site

$147.50K - $194.70K/yr

As a Hardware Engineer, you will join femtoAI's hardware team to help design and build our novel neural network accelerator. Working in a small, highly collaborative group, you will contribute ...

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How much do full time neural network engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for full time neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Neural Network Engineer jobs? The most popular types of Neural Network Engineer jobs are:
Full Time Neural Network Engineer jobs near you

Senior AI/ML C++ software engineer

Recruiting Engine (MLS)

Lexington, SC

$104.90K - $138.20K/yr

Full-time

Posted 7 days ago

Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector. This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI ? Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).