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Internship Neural Networks Jobs (NOW HIRING)

Fall 2026 Intern, Perception

Mountain View, CA

$17.75 - $23.50/hr

Integrate both novel and well-established techniques such as deep neural networks, decision trees ... Our internship program is 12-16 weeks; the end date is flexible based on individual needs.

Exposure to common neural networks frameworks such as Caffe or TensorFlow helps. We expect that interns will be able to pick up missing skills quickly, deliver their assignments on time, and present ...

ML Summer Intern

San Francisco, CA · On-site

$5K - $10K/mo

... a summer internship. As an ML Intern at Pravah, you will work on real, open-ended technical ... Graph neural networks and graph transformers for modeling power flow and temporal dynamics in large ...

... internship experience is applicable) * Experience in implementing or analyzing language models or neural networks PREFERRED SKILLS AND EXPERIENCE: * Professional experience in analytics, data science ...

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How much do internship neural networks jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship neural networks in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Neural Networks vs Data Science Internships?

AspectInternship Neural NetworksData Science Internships
Required CredentialsBasic programming, introductory machine learning knowledgeStatistics, programming, data analysis skills
Work EnvironmentResearch labs, tech companies, AI-focused teamsBusiness, tech, or research settings involving data analysis
Employer & Industry UsageAI and machine learning companies, tech giantsBroad industry including finance, healthcare, tech
Common Search & Comparison IntentUnderstanding neural network-specific rolesBroader data analysis roles

Internship Neural Networks focuses on developing and understanding neural network models, often within AI and machine learning teams. Data Science Internships cover a wider range of data analysis tasks, including statistical modeling and data visualization. While both roles require programming skills, neural network internships are more specialized in deep learning techniques, whereas data science internships encompass broader data handling and analysis skills.

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What cities are hiring for Internship Neural Networks jobs? Cities with the most Internship Neural Networks job openings:
What are the most commonly searched types of Neural Networks jobs? The most popular types of Neural Networks jobs are:
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What job categories do people searching Internship Neural Networks jobs look for? The top searched job categories for Internship Neural Networks jobs are:
Infographic showing various Internship Neural Networks job openings in the United States as of May 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Neuralink

South San Francisco, CA • On-site

$199K - $331K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$199,000-$331,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded