Reston, VA · On-site
$235K - $300K/yr
Senior Staff Research Engineer, Neural Network Video Coding About Ofinno: Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication ...
Reston, VA · On-site
$235K - $300K/yr
Senior Staff Research Engineer, Neural Network Video Coding About Ofinno: Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication ...
Reston, VA · On-site
$235K - $300K/yr
Senior Staff Research Engineer, Neural Network Video Coding About Ofinno: Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication ...
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Reston, VA · On-site
$235K - $300K/yr
Senior Staff Research Engineer, Neural Network Video Coding About Ofinno: Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication ...
Reston, VA · On-site
$108K - $149K/yr
As a Senior Staff Research Engineer in the Advanced Media Lab, you will lead the technical direction for neural network-based video coding efforts and contribute to standardization activities.
Reston, VA · On-site
$108K - $149K/yr
As a Senior Staff Research Engineer in the Advanced Media Lab, you will lead the technical direction for neural network-based video coding efforts and contribute to standardization activities.
Springfield, VA · On-site
$181K - $214K/yr
TENICA is looking to hire a software systems engineer with a TS/SCI CI poly. Location: Springfield ... neural network components and new performance metrics • Experience designing and executing ...
Springfield, VA · On-site
$181K - $214K/yr
TENICA is looking to hire a software systems engineer with a TS/SCI CI poly. Location: Springfield ... neural network components and new performance metrics • Experience designing and executing ...
$180K - $214K/yr
TENICA is looking to hire a software systems engineer with a TS/SCI CI poly. Location: Springfield ... neural network components and new performance metrics Experience designing and executing ...
$180K - $214K/yr
TENICA is looking to hire a software systems engineer with a TS/SCI CI poly. Location: Springfield ... neural network components and new performance metrics Experience designing and executing ...
Mclean, VA · On-site
$124K - $163K/yr
Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and ...
Mclean, VA · On-site
$124K - $163K/yr
Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and ...
Mclean, VA · On-site
$124K - $163K/yr
Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and ...
Mclean, VA · On-site
$124K - $163K/yr
Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and ...
Ashburn, VA · On-site
The AI Engineer role involves developing AI methods for 3D particle detection and structural ... Ability to reason about neural network behavior from first principles: how architectural choices ...
Ashburn, VA · On-site
The AI Engineer role involves developing AI methods for 3D particle detection and structural ... Ability to reason about neural network behavior from first principles: how architectural choices ...
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Lynchburg, VA · On-site
$86 - $136/hr
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Lynchburg, VA · On-site
$86 - $136/hr
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Lynchburg, VA · On-site
$86K - $136K/yr
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Lynchburg, VA · On-site
$86K - $136K/yr
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Lynchburg, VA · Hybrid
$136K/yr
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Lynchburg, VA · Hybrid
$136K/yr
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
... neural rendering, point clouds, or view synthesis pipelines, or learned representation coding. • Hands-on experience with MPEG V-PCC and/or G-PCC implementations and/or tool development. • Proven ...
... neural rendering, point clouds, or view synthesis pipelines, or learned representation coding. • Hands-on experience with MPEG V-PCC and/or G-PCC implementations and/or tool development. • Proven ...
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
$59K - $71.9K
14% of jobs
$79.6K is the 25th percentile. Wages below this are outliers.
$71.9K - $84.9K
19% of jobs
$84.9K - $97.8K
12% of jobs
The median wage is $102.2K / yr.
$97.8K - $110.7K
17% of jobs
$110.7K - $123.7K
12% of jobs
$125.9K is the 75th percentile. Wages above this are outliers.
$123.7K - $136.6K
14% of jobs
$136.6K - $149.5K
7% of jobs
$149.5K - $162.5K
3% of jobs
$162.5K - $175.4K
0% of jobs
$175.4K - $188.3K
1% of jobs
$188.3K - $201.3K
2% of jobs
$59K
$110.7K
$201.3K
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.
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.
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.
$235K - $300K/yr
Full-time
Retirement, PTO
Re-posted 13 days ago
Sourced by ZipRecruiter
Telecommunications
11 - 50 Employees
Reston, VA, US
2011
