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Intern Computational Neuroscience Software Engineer Jobs

Neuralink

Software Engineer Intern, Robotics

Austin, TX · On-site

$35/hr

As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing ... neuroscience teams Required Qualifications: * Evidence of exceptional ability in engineering or ...

Bedgear

Software Engineer Intern

Rock Hill, SC

$25 - $30/hr

Software Engineer Intern ID: 100401 Department: Development Location: Rock Hill, SC Description Job Title : Software Engineer Intern Department : Research & Innovation Reports to: Chief Science ...

Breaking Ground

Software Engineer, Intern

Manhattan, NY · On-site

$54K/yr

Reporting to the Assistant Director, Software Engineering the Software Engineer Intern builds tools to enhance the work of Breaking Ground. The Intern works closely with departments across the ...

Astera

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

New York University

Software Engineer

New York, NY · On-site

$100K - $250K/yr

... neuroscience and quantum computing. The selected candidates will work closely with a group of ... The hired engineer will have access to computational resources allowing training of large AI models.

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How much do intern computational neuroscience software engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for intern computational neuroscience software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Intern Computational Neuroscience Software Engineer vs Intern Data Scientist?

AspectIntern Computational Neuroscience Software EngineerIntern Data Scientist
Required CredentialsRelevant coursework in neuroscience, programming, and data analysis; often pursuing a degree in neuroscience, computer science, or related fieldsDegree in data science, statistics, computer science, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on brain research and AI applicationsTech companies, research firms, or healthcare organizations analyzing large datasets
Employer & Industry UsageUsed in neuroscience research, AI development, and neurotechnology industriesCommon in tech, finance, healthcare, and marketing sectors

While both roles involve programming and data analysis, Intern Computational Neuroscience Software Engineers focus on understanding brain functions and developing neuro-inspired algorithms, whereas Intern Data Scientists analyze diverse datasets to extract insights across various industries.

What cities are hiring for Intern Computational Neuroscience Software Engineer jobs? Cities with the most Intern Computational Neuroscience Software Engineer job openings:
What are the most commonly searched types of Computational Neuroscience Software Engineer jobs? The most popular types of Computational Neuroscience Software Engineer jobs are:
What states have the most Intern Computational Neuroscience Software Engineer jobs? States with the most job openings for Intern Computational Neuroscience Software Engineer jobs include:
Intern Computational Neuroscience Software Engineer jobs near you
Visual Intelligence and Machine Learning Research Scientist

Visual Intelligence and Machine Learning Research Scientist

Apple

San Jose, CA • On-site

Full-time

Posted 18 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, every service we deliver, is the result of us making each other's ideas stronger. Here, you'll do more than join something - you'll add something.
Our team sits at the intersection of computational neuroscience, visual intelligence, and AI, translating cutting-edge research directly into experiences that users see and feel every day. We prototype algorithms from first principles all the way through to shipping features, working hand-in-hand with app teams and designers so that the science we build has immediate, tangible impact on how people interact with Apple products. If you want your research to matter beyond a paper, this is where that happens.
Description
We are looking for a Visual Intelligence and Machine Learning Scientist who bridges computational neuroscience and modern AI. You will build models that reason about human visual attention, behavioral states, comfort, and perceptual salience from video and multimodal sensor streams. You will have a track record of original research contributions, a drive to deploy algorithms on real-world data, and the versatility to take an idea from exploratory research to polished user experience.
Minimum Qualifications
MS with 3+ years of research experience, in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a related field, with a focus on computer vision or machine learning.
Demonstrated research contributions to visual intelligence or perceptual modeling, including peer-reviewed publications or equivalent industry impact.
Deep expertise in visual perception: saliency modeling, object detection and localization, optical flow, depth estimation, and multimodal learning including sensor fusion with IMU and temporal signals.
Strong hands-on experience training and deploying deep learning models using modern frameworks (PyTorch, TensorFlow, JAX) and Python scientific libraries (NumPy, OpenCV, scikit-learn).
Strong mathematical foundations in linear algebra, probability, optimization, and signal processing, with experience in large-scale dataset curation and evaluation methodology.
Excellent communication and collaboration skills; ability to thrive in a fast-paced environment alongside scientists, engineers, designers, and domain experts from the behavioral and cognitive sciences.
Preferred Qualifications
PhD in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a related field, with a focus on computer vision or machine learning.
Experience with vision foundation models, vision transformers (ViT), and adapter-based fine-tuning for perceptual or behavioral downstream tasks.
Familiarity with generative AI and neural rendering approaches (diffusion models, implicit neural representations) as components of computational perception pipelines.
Background in computational modeling of perceptual or behavioral phenomena: modeling user state, comfort, visual salience, or behavioral response from video or sensor data.
Experience developing or deploying models for spatial computing platforms (AR/VR headsets, iOS, macOS).
Track record of shipping algorithms in resource-constrained, real-time on-device inference environments.
Ability to be versatile across a multi-faceted role, moving fluidly between deep research, engineering rigor, and direct collaboration with product and design teams to bring science to life in user-facing features.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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