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Full Time Neural Network Engineer Jobs (NOW HIRING)

Required : • Strong understanding of fundamental machine learning algorithms and neural network ... Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the ...

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 ...

Hardware Engineer

San Bruno, CA · On-site

$147K - $194K/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 ...

Network Engineer

Annapolis, MD · On-site

$70K - $90K/yr

Job Type Full-time Description Job Title: Network Engineer Place of Performance: Annapolis, MD Mandatory Requirements: Minimum Moderate Risk Public Trust (MRPT) Experience Level: Jr-Level (2+ years ...

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Full Time Neural Network Engineer information

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$31K

$109K

$158K

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

As of Sep 11, 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:

What are popular job titles related to Full Time Neural Network Engineer jobs?

For Full Time Neural Network Engineer jobs, the most frequently searched job titles are:

AI Model Compression Engineer (678183)

Santa Clara, CA • On-site

Netpace Inc
Professional, Scientific, and Technical Services • 51 - 200 employees

$93K - $126K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Netpace Inc is a company focused on advanced technologies, and they are seeking an AI Model Compression Engineer to research and develop neural network model compression algorithms. The role involves integrating these algorithms into modern Deep Learning platforms such as Tensorflow and Pytorch.
Responsibilities:
• Research and develop neural network model compression algorithm, and/or
• Integrate such algorithm to modern Deep Learning platforms such as Tensorflow, Caffe, Torch, Pytorch.
Qualifications:
Required:
• Ph.D. or M.Sc. in Computer Science and Electrical Engineering.
• Strong development skills in C/C++ and Python.
• Solid knowledge in image/video compression algorithm and standard such as AVC, HEVC.
• Solid knowledge in Deep Learning platforms such as Tensorflow, Caffe, Torch, Pytorch.
• 1+ years’ experience with one or more of the following areas: Image/Video compression algorithm and standard, Deep Learning, Tensorflow, Caffe implementation.
• Strong research and problem solving skills.
• Excellent communication and teamwork skills.
Company:
Netpace is a Data-Driven company excelling in AI, IT Consulting and Staffing Solutions. Founded in 1996, the company is headquartered in San Ramon, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Netpace logo

About Netpace

Sourced by ZipRecruiter

Netpace is a reputable company in the Information Technology and Services industry, headquartered in San Ramon, California, in the United States. The company specializes in providing digital transformation solutions by leveraging cutting-edge technologies. It offers a wide array of services, including Software Development, IT Consulting, Cloud Services, Infrastructure Management, and Digital Marketing. Ever since its launch, Netpace has been driven by a mission to use technology as a medium to shape future businesses and make a significant impact.

Industry

Professional, scientific, and technical services

Company size

51 - 200 Employees

Headquarters location

San Ramon, CA, US