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Neural Jobs (NOW HIRING)

Neural Concept

Head of Delivery - US

New York, NY · On-site

Lead the technical team from Neural Concept to ensure a successful implementation of the NC platform. * Structure the technical collaborations to ensure short- and long-term value, by engaging with ...

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Neural information

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$30K

$143.5K

$200.5K

How much do neural jobs pay per year?

As of Jun 12, 2026, the average yearly pay for neural in the United States is $143,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $178,500.00 per year, depending on experience, location, and employer.

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

To excel as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, or a related field, often supported by an advanced degree. Familiarity with neural imaging tools, signal processing software, and programming languages like MATLAB or Python is typically required. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this role. These competencies enable the development and application of neurotechnologies that advance brain research and medical treatments.

What biology jobs pay over $100k?

In the field of biology, roles such as biomedical directors, pharmacologists, and biotechnologists often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in research, development, or management within healthcare, pharmaceuticals, or biotech industries.

How does a Neural Engineer typically collaborate with multidisciplinary teams in research and development projects?

Neural Engineers often work closely with professionals from various backgrounds, including neuroscientists, software developers, clinicians, and data scientists. Collaboration usually involves joint problem-solving, sharing experimental data, and integrating hardware and software solutions for brain-computer interfaces or neural prosthetics. Effective communication and adaptability are crucial, as project requirements can evolve rapidly based on research findings or clinical feedback. This multidisciplinary environment provides valuable learning opportunities and fosters innovation in developing neural technologies.

What are neural jobs?

Neural jobs typically refer to roles that involve working with neural networks, a core technology in artificial intelligence and machine learning. These positions may include designing, developing, and optimizing neural network architectures for tasks such as image recognition, natural language processing, or predictive analytics. Professionals in these roles often have backgrounds in computer science, data science, or electrical engineering, and use programming languages like Python along with frameworks such as TensorFlow or PyTorch. Neural jobs are in high demand across industries like healthcare, finance, and technology, as organizations seek to leverage AI for innovative solutions.

What jobs can you do with neural engineering?

Neural engineering offers careers such as neural engineer, biomedical engineer, neurotechnology researcher, and neural interface developer. These roles involve designing brain-computer interfaces, developing neural prosthetics, and conducting research in neuroscience and medical device development, often requiring knowledge of signal processing, neuroscience, and engineering tools.

What neuro jobs are there?

Neuro jobs include roles such as neuroscientist, neuropsychologist, neuroengineer, and clinical neurophysiologist. These positions often require specialized education in neuroscience, psychology, or biomedical engineering, and may involve research, clinical practice, or developing neurotechnology tools. Skills in data analysis, programming, and understanding neural systems are commonly needed.

What is the highest paid job in neuroscience?

The highest paid jobs in neuroscience are often senior research directors, neuroscience department heads, or industry roles such as pharmaceutical or biotech executives, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and leadership skills, often involving management of research teams or strategic decision-making in the field.

What is the difference between Neural vs Data Scientist?

AspectNeuralData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; knowledge of neural networksDegree in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsagePrimarily in AI, machine learning, deep learning projectsAcross industries for data analysis, insights, and decision-making
Common Search/ComparisonNeural vs Data Scientist

Neural roles focus on developing and implementing neural network models, often requiring specialized knowledge in AI and deep learning. Data Scientists analyze data to extract insights, using various statistical and machine learning techniques. While both roles involve data and programming, Neural positions are more specialized in AI model development, whereas Data Scientists have a broader scope in data analysis across industries.

More about Neural jobs
What cities are hiring for Neural jobs? Cities with the most Neural job openings:
What states have the most Neural jobs? States with the most job openings for Neural jobs include:
What job categories do people searching Neural jobs look for? The top searched job categories for Neural jobs are:
Neural jobs near you
Infographic showing various Neural job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $143,519 per year, or $69 per hour.
Senior Staff Research Engineer, Neural Network Video Coding

Senior Staff Research Engineer, Neural Network Video Coding

Ofinno

Reston, VA • On-site

$108K - $149K/yr

Full-time

Retirement, PTO

Posted 14 days ago

Job description

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 and media standards. Our team’s innovative work has led to significant contributions to technologies such as 5G cellular, Wi-Fi, and media compression. Ofinno holds strategic partnerships and licensing agreements with several of the world’s leading technology companies that use such technologies. At Ofinno, we foster an environment of collaboration and excellence, where researchers can focus on delivering breakthroughs that shape the future of technology.
Position Overview:
As a Senior Staff Research Engineer in the Advanced Media Lab, you will serve as the tech stack owner for our neural network-based video coding (NNVC) efforts and lead related standardization activities. You will set the research direction with cross-team impact, turning neural coding ideas into reproducible evidence, standards-ready proposals, and patentable inventions.
Key Responsibilities:
As a Senior Staff Research Engineer in NNVC, you will:
  • Own NNVC technical direction end-to-end, from research framing to standards-ready proposals.
  • Collaborate cross-team to remove blockers, integrate tool interactions, and improve shared infrastructure (e.g., testing pipelines, scripts, datasets, and configurations).
  • Communicate research findings and technical insights to clients, partners, and industry audiences, representing the company’s expertise in video compression.
  • Drive standards contributions by authoring technical proposals, defending results, and working with delegates/partners to align test conditions, baselines, and conclusions.
  • Invent and develop patentable solutions that improve compression efficiency and/or complexity, and support the full IP process- from invention disclosure through filing.
  • Implement and optimize GPU-accelerated training and/or inference workflows for NNVC tools, including profiling and performance tuning for latency, throughput, and memory.
  • Mentor and multiply team output through code reviews, technical coaching, interview participation, and onboarding others to NNVC methodology and best practices.

Qualifications:
Minimum:
  • M.S. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
  • Prior delegate or active contributor experience in video coding standardization bodies, including JVET, MPEG, or AOM.
  • Deep expertise in video compression plus strong capability in machine learning for vision/video (model design, training, evaluation, and failure analysis).
  • Solid understanding of at least one modern video coding standard, including HEVC/H.265, VP9, VVC/H.266, AV1, AV2, or ECM.
  • Proven ability to act as an architect/tech stack owner: make sound technical decisions, set direction, and drive execution through measurable outcomes.
  • Strong implementation skills across the stack: PyTorch (or equivalent) for training/inference workflows and C/C++ for codec prototyping and/or production integration.
  • Strong written and verbal communication skills, including the ability to represent the company in standards meetings and industry events.
  • Track record of technical impact through peer-reviewed publications, patents, and/or standards contributions.
Preferred:
  • Ph.D. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
  • Hands-on experience in one or more video coding tool areas, including neural in-loop filtering, neural prediction, learned transforms, or end-to-end neural video compression.
  • Hands-on experience with GPU acceleration, including performance tuning and deployment considerations.
  • Familiarity with the patent filing process and collaborating with patent attorneys.
What else you should know 
Our people are our business. We know you have to see it to believe it, but here are some of the perks you can count on: 
  • 401(K) matching -- We help you plan and save for retirement with a 401(K) matching program that’s available on day one.  
  • Free healthcare plans -- Ofinno covers full premiums for you are your family on select healthcare plans, including employer HSA contributions if applicable. 
  • Free Food -- Our kitchen is always fully stocked, including lunch, protein bars, fruit, sodas, coffee, and tea.  
  • Unlimited Paid Time Off -- Our lives are enriched by family time, vacations, and personal time. We offer unlimited paid time off and sick leave.  
  • On-campus gym -- Unwind, reduce stress and feel great – even when you’re at work. 
  • Other benefits, too long to list -- Please discuss with our great People Ops team about additional benefits offered. 
What Now?  
What are you waiting for? We hope you will click on the link and forward your credentials to us today.  All your information will be kept confidential according to EEO guidelines.

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