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Neural Signal Processing Jobs in California (NOW HIRING)

... neural signal processing, or agentic AI systems * A PhD in machine learning, computer science, neuroscience or a closely related field is strongly preferred; exceptional candidates with a Master ...

As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here ...

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ...

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ...

At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ... neural networks, CNN, RNN, etc. * Expertise in data analysis and data mining * Experience with ...

At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ... neural networks, CNN, RNN, etc. * Expertise in data analysis and data mining * Experience with ...

Knowledge of architectures from simple neural networks to large scale transformer models to cutting-edge research. * Familiarity with signal processing techniques and experience with time series and ...

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... signals in application materials based on available information. These tools assist our recruitment ...

Showing results 21-40

Neural Signal Processing information

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.

What are the key skills and qualifications needed to thrive as a neural signal processing specialist?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What job categories do people searching Neural Signal Processing jobs in California look for?

The top searched job categories for Neural Signal Processing jobs in California are:

What cities in California are hiring for Neural Signal Processing jobs?

Cities in California with the most Neural Signal Processing job openings:

Infographic showing various Neural Signal Processing job openings in California as of June 2026, with employment types broken down into 6% Full Time, 82% Part Time, 6% Temporary, and 6% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Machine Learning Video Processing Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 20 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! This group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer.
Description
In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies. Your responsibilities include but not limited to:
- Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments.
- Work on data collection and pre-processing for training/testing/validation.
- Investigate the latest learning-based low-level vision technologies and tasks.
Minimum Qualifications
Masters degree in Computer Science, Electrical Engineering, or related major.
Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System.
Python, Java, or C/C++ programming skills.
Preferred Qualifications
Experience with performance (power and speed) optimization: GPGPU SIMD programming.
Knowledge of deploying neural network to hardware.
Experience with multithread NEON / SIMD.
Experience with GPU APIs preferably Metal, CUDA, OpenGL, and/or OpenCL.
Excellent written and oral communication skills.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976