Data Engineer
Palo Alto, CA · On-site
$134K - $161K/yr
... software engineering experience (internship experience is applicable) • Experience in ... neural networks Preferred : • Professional experience in analytics, data science, machine ...
Data Engineer
Palo Alto, CA · On-site
$134K - $161K/yr
... software engineering experience (internship experience is applicable) • Experience in ... neural networks Preferred : • Professional experience in analytics, data science, machine ...
This data platform collects, organizes, and visualizes a diverse set of data ranging from neural ... This is a high-autonomy, high-ownership internship. You will work directly alongside engineers and ...
This data platform collects, organizes, and visualizes a diverse set of data ranging from neural ... This is a high-autonomy, high-ownership internship. You will work directly alongside engineers and ...
2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - Unite
Seattle, WA · On-site
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series ... Programming/Scripting Languages In this role, you'll collaborate with brilliant minds to develop ...
2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - Unite
Seattle, WA · On-site
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series ... Programming/Scripting Languages In this role, you'll collaborate with brilliant minds to develop ...
Microfabrication Engineer (R&D)
Fremont, CA · On-site
$81K - $209K/yr
... relays neural signals to the body of the implant. The team operates at an in-house cleanroom ... Temporary Employees & Interns excluded
Microfabrication Engineer (R&D)
Fremont, CA · On-site
$81K - $209K/yr
... relays neural signals to the body of the implant. The team operates at an in-house cleanroom ... Temporary Employees & Interns excluded
Experience in the latest advances of deep learning in this area, such as neural radiance fields ... solid programming skills in Python and popular deep learning frameworks like Pytorch. The goal ...
Experience in the latest advances of deep learning in this area, such as neural radiance fields ... solid programming skills in Python and popular deep learning frameworks like Pytorch. The goal ...
Signal Processing Engineer
Austin, TX · On-site
$121K - $230K/yr
Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g ... Temporary Employees & Interns excluded
Signal Processing Engineer
Austin, TX · On-site
$121K - $230K/yr
Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g ... Temporary Employees & Interns excluded
Software Engineer, ASIC
South San Francisco, CA · On-site
$123K - $216K/yr
... stream neural recordings from implants. You will: * Build and maintain scalable EDA compute ... Temporary Employees & Interns excluded
Software Engineer, ASIC
South San Francisco, CA · On-site
$123K - $216K/yr
... stream neural recordings from implants. You will: * Build and maintain scalable EDA compute ... Temporary Employees & Interns excluded
Our focus is on developing high-dimensional neural control of hardware, specifically robotic arms ... Minimum of 3 years of mechanical engineering industry experience, including internships and project ...
Our focus is on developing high-dimensional neural control of hardware, specifically robotic arms ... Minimum of 3 years of mechanical engineering industry experience, including internships and project ...
Hardware Machine Learning PhD Research Internship
Chicago, IL · On-site
$225K/yr
You'll work alongside IMC engineers in one of the most demanding low-latency computing environments ... Track and evaluate emerging research in neural architecture search, machine learning systems and ...
Hardware Machine Learning PhD Research Internship
Chicago, IL · On-site
$225K/yr
You'll work alongside IMC engineers in one of the most demanding low-latency computing environments ... Track and evaluate emerging research in neural architecture search, machine learning systems and ...
Digital IC Design Engineer
Austin, TX · On-site
$116K - $233K/yr
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural ... Temporary Employees & Interns excluded
Digital IC Design Engineer
Austin, TX · On-site
$116K - $233K/yr
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural ... Temporary Employees & Interns excluded
Digital IC Design Engineer Intern
Fremont, CA · On-site
$35/hr
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural ... Temporary Employees & Interns excluded
Digital IC Design Engineer Intern
Fremont, CA · On-site
$35/hr
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural ... Temporary Employees & Interns excluded
Design Verification Intern
Burlingame, CA · On-site
$45 - $60/hr
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Our preference is for this internship to be based out of our Burlingame, California office.
Design Verification Intern
Burlingame, CA · On-site
$45 - $60/hr
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Our preference is for this internship to be based out of our Burlingame, California office.
Design Verification Intern
Burlingame, CA · On-site
$45 - $60/hr
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Our preference is for this internship to be based out of our Burlingame, California office.
Design Verification Intern
Burlingame, CA · On-site
$45 - $60/hr
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Our preference is for this internship to be based out of our Burlingame, California office.
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... Temporary Employees & Interns excluded
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... Temporary Employees & Interns excluded
Design Verification Intern
Burlingame, CA · On-site
$45 - $60/hr
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Our preference is for this internship to be based out of our Burlingame, California office.
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Design Verification Intern
Burlingame, CA · On-site
$45 - $60/hr
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Our preference is for this internship to be based out of our Burlingame, California office.
PCIe, HBM, GPUs, neural networks, ML HW architecture * Knowledge of the full validation lifecycle ... internship system test development, code reviews, source control management, build processes ...
PCIe, HBM, GPUs, neural networks, ML HW architecture * Knowledge of the full validation lifecycle ... internship system test development, code reviews, source control management, build processes ...
Senior Software Engineer - Autonomous Driving Simulation
Santa Clara, CA · On-site
$143K - $189K/yr
Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI. * Proven research or engineering excellence through internships, open-source ...
Senior Software Engineer - Autonomous Driving Simulation
Santa Clara, CA · On-site
$143K - $189K/yr
Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI. * Proven research or engineering excellence through internships, open-source ...
Senior Software Engineer - Autonomous Driving Simulation
Santa Clara, CA · On-site
$143K - $189K/yr
Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI. * Proven research or engineering excellence through internships, open-source ...
Senior Software Engineer - Autonomous Driving Simulation
Santa Clara, CA · On-site
$143K - $189K/yr
Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI. * Proven research or engineering excellence through internships, open-source ...
Senior Deep Learning Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
... neural networks, and other general software engineering work. Qualifications : Required : • ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...
Senior Deep Learning Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
... neural networks, and other general software engineering work. Qualifications : Required : • ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...
Research Engineering Internship - AI, Computer Vision, & Visualization
San Jose, CA · On-site
$50 - $60/hr
Deep Neural Networks for Vision: Apply advanced techniques in DNNs for tasks such as segmentation ... an engineer in a software development position * You are on track to graduate with your Ph.D. or ...
Research Engineering Internship - AI, Computer Vision, & Visualization
San Jose, CA · On-site
$50 - $60/hr
Deep Neural Networks for Vision: Apply advanced techniques in DNNs for tasks such as segmentation ... an engineer in a software development position * You are on track to graduate with your Ph.D. or ...
Internship Neural Engineer information
See salary details
$11.06 - $12.74
2% of jobs
$12.74 - $14.42
4% of jobs
$16.11 is the 25th percentile. Wages below this are outliers.
$14.42 - $16.11
19% of jobs
$16.11 - $17.79
24% of jobs
The median wage is $17.89 / hr.
$17.79 - $19.47
17% of jobs
$20.48 is the 75th percentile. Wages above this are outliers.
$19.47 - $21.15
16% of jobs
$21.15 - $22.84
6% of jobs
$22.84 - $24.52
5% of jobs
$24.52 - $26.20
3% of jobs
$26.20 - $27.88
3% of jobs
$27.88 - $29.57
1% of jobs
$11
$19
$29
How much do internship neural engineer jobs pay per hour?
As of Jul 15, 2026, the average hourly pay for internship neural engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Internship Neural Engineer, and why are they important?
To thrive as an Internship Neural Engineer, you generally need a solid background in neuroscience, biomedical engineering, or a related field, with foundational knowledge of neural systems and signal processing. Familiarity with programming languages such as Python or MATLAB, experience with data analysis tools, and exposure to neural recording hardware or simulation software are typically required. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out in this interdisciplinary field. These skills are essential for effectively contributing to research, analyzing neural data, and collaborating on innovative solutions in neural engineering projects.
What types of projects and responsibilities can I expect as an Internship Neural Engineer?
As an Internship Neural Engineer, you can expect to work on a variety of projects involving the development, testing, and analysis of neural interfaces or brain-computer interface systems. Typical responsibilities include assisting with data collection and analysis, building and validating machine learning models, and supporting the design or prototyping of neural hardware or software tools. You will likely collaborate closely with senior engineers, neuroscientists, and software developers, gaining exposure to both experimental and computational aspects of the work. This hands-on experience is invaluable for building technical skills and understanding the interdisciplinary nature of neural engineering.
What is an Internship Neural Engineer?
An Internship Neural Engineer is a student or recent graduate working temporarily with a team to support the development and testing of neural engineering technologies. These interns typically assist with research, data analysis, software programming, and hardware integration related to brain-computer interfaces, neural prosthetics, or other neuroscience-related projects. The internship provides hands-on experience in a multidisciplinary field that combines neuroscience, engineering, and computer science, allowing interns to gain practical skills and contribute to ongoing research or product development.
What cities are hiring for Internship Neural Engineer jobs? Cities with the most Internship Neural Engineer job openings:
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What states have the most Internship Neural Engineer jobs? States with the most job openings for Internship Neural Engineer jobs include:
$134K - $161K/yr
Full-time
Re-posted 21 days ago
Job description
Job Summary:
xAI is focused on creating AI systems that enhance human knowledge and scientific discovery. The Data Engineer will develop systems and processes for data acquisition, preparation, and quality evaluation to support model training, collaborating with various teams to ensure high-quality data is available for AI models.
Responsibilities:
• Analyze the performance and impact of data used throughout the model training lifecycle
• Investigate anomalous model behavior and rigorously identify the data issues that drive poor downstream performance
• Design, build, and improve the data cleaning, transformation, and quality-control steps required to produce high-quality training data
• Research, evaluate, and develop frontier methods for improving data quality and effectiveness in AI model development
• Apply statistical techniques and empirical analysis to make informed, data-driven decisions about dataset quality and model outcomes
• Partner across teams to identify where data needs exist and define the highest-impact opportunities for new data acquisition and improvement
• Build and maintain production-grade data pipelines, tooling, and software systems that ingest, process, validate, and deliver data for training
• Develop metrics, evaluation frameworks, and monitoring systems to assess how data quality influences model behavior at scale
• Fuse data from multiple sources into reliable, usable datasets for research and production model training
• Create shared datasets, tooling, and internal data products that enable other teams to analyze, debug, and improve model performance
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline
• 1+ years of data/software engineering experience (internship experience is applicable)
• Experience in implementing or analyzing language models or neural networks
Preferred:
• Professional experience in analytics, data science, machine learning, or data engineering
• Experience building and operating production data pipelines for neural network or large-scale machine learning workloads
• Strong experience with Python and the broader ecosystem of libraries and tools used in modern machine learning and data development
• Experience working with Parquet or similar columnar storage formats in large-scale data systems
• Familiarity with Kubernetes and distributed production environments
• Experience developing predictive models and machine learning pipelines, including clustering, forecasting, anomaly detection, or related techniques
• Experience working with very large-scale datasets, including terabyte- to petabyte-scale data systems
• Strong statistical intuition and the ability to use quantitative analysis to guide technical and product decision, including familiarity of scaling ladder design studies
• Ability to operate effectively in a dynamic environment with evolving priorities, changing requirements, and fast-moving technical challenges
• Demonstrated ability to take ownership of ambiguous problems, drive projects independently, and develop new expertise where needed
Company:
xAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
xAI is focused on creating AI systems that enhance human knowledge and scientific discovery. The Data Engineer will develop systems and processes for data acquisition, preparation, and quality evaluation to support model training, collaborating with various teams to ensure high-quality data is available for AI models.
Responsibilities:
• Analyze the performance and impact of data used throughout the model training lifecycle
• Investigate anomalous model behavior and rigorously identify the data issues that drive poor downstream performance
• Design, build, and improve the data cleaning, transformation, and quality-control steps required to produce high-quality training data
• Research, evaluate, and develop frontier methods for improving data quality and effectiveness in AI model development
• Apply statistical techniques and empirical analysis to make informed, data-driven decisions about dataset quality and model outcomes
• Partner across teams to identify where data needs exist and define the highest-impact opportunities for new data acquisition and improvement
• Build and maintain production-grade data pipelines, tooling, and software systems that ingest, process, validate, and deliver data for training
• Develop metrics, evaluation frameworks, and monitoring systems to assess how data quality influences model behavior at scale
• Fuse data from multiple sources into reliable, usable datasets for research and production model training
• Create shared datasets, tooling, and internal data products that enable other teams to analyze, debug, and improve model performance
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline
• 1+ years of data/software engineering experience (internship experience is applicable)
• Experience in implementing or analyzing language models or neural networks
Preferred:
• Professional experience in analytics, data science, machine learning, or data engineering
• Experience building and operating production data pipelines for neural network or large-scale machine learning workloads
• Strong experience with Python and the broader ecosystem of libraries and tools used in modern machine learning and data development
• Experience working with Parquet or similar columnar storage formats in large-scale data systems
• Familiarity with Kubernetes and distributed production environments
• Experience developing predictive models and machine learning pipelines, including clustering, forecasting, anomaly detection, or related techniques
• Experience working with very large-scale datasets, including terabyte- to petabyte-scale data systems
• Strong statistical intuition and the ability to use quantitative analysis to guide technical and product decision, including familiarity of scaling ladder design studies
• Ability to operate effectively in a dynamic environment with evolving priorities, changing requirements, and fast-moving technical challenges
• Demonstrated ability to take ownership of ambiguous problems, drive projects independently, and develop new expertise where needed
Company:
xAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.