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Internship Machine Learning Neuroscience Jobs (NOW HIRING)

Neurable, INC

Machine Learning

Cambridge, MA · On-site

... neuroscience, enables people to control hardware and software in real-time with their brain via a ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Neurable, INC

Machine Learning

Cambridge, MA

... neuroscience, enables people to control hardware and software in real-time with their brain via a ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Yaskawa

Machine Learning Engineer

Franklin, WI · On-site

To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience ...

Instacart

OR

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Desired Qualifications * 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated ...

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Internship Machine Learning Neuroscience information

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$25.5K

$42.6K

$88K

How much do internship machine learning neuroscience jobs pay per year?

As of Jul 7, 2026, the average yearly pay for internship machine learning neuroscience in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Neuroscience, and why are they important?

To thrive in an Internship Machine Learning Neuroscience role, you generally need a background in neuroscience, computer science, or a related field, along with a solid understanding of machine learning concepts. Experience with programming languages such as Python, libraries like TensorFlow or PyTorch, and familiarity with neuroimaging software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you work collaboratively and adapt to complex research environments. These skills are essential for contributing meaningfully to interdisciplinary projects at the intersection of neuroscience and artificial intelligence.

What is the difference between Internship Machine Learning Neuroscience vs Internship Data Science?

AspectInternship Machine Learning NeuroscienceInternship Data Science
Required CredentialsBackground in neuroscience, machine learning, programmingBackground in statistics, programming, data analysis
Work EnvironmentResearch labs, healthcare, academia, tech companiesBusiness, tech firms, research institutions
Industry UsageNeuroscience research, AI development, healthcare techBusiness analytics, product development, consulting

Internship Machine Learning Neuroscience focuses on applying machine learning techniques to neuroscience data, often within research or healthcare settings. In contrast, Internship Data Science covers a broader range of data analysis across industries. Both roles require programming skills, but the focus and industry applications differ significantly.

What is an Internship in Machine Learning Neuroscience?

An Internship in Machine Learning Neuroscience is a temporary position, often for students or recent graduates, that involves applying machine learning techniques to neuroscience research. Interns may work on projects such as analyzing brain imaging data, modeling neural networks, or developing algorithms to understand brain function. These internships provide hands-on experience in both computational methods and neuroscience concepts, helping interns build valuable skills for future academic or industry roles. Opportunities can be found in universities, research institutes, or technology companies with neuroscience divisions.

What types of projects do interns typically work on in a Machine Learning Neuroscience internship?

Interns in Machine Learning Neuroscience often engage in projects that combine data analysis, algorithm development, and neuroscience research. This can include tasks such as preprocessing neural data, building and evaluating machine learning models to interpret brain signals, or developing tools for data visualization. Interns frequently collaborate with both data scientists and neuroscientists, gaining hands-on experience with real-world datasets and exposure to interdisciplinary research environments. These projects help interns build practical skills and contribute meaningful insights to ongoing research.
What cities are hiring for Internship Machine Learning Neuroscience jobs? Cities with the most Internship Machine Learning Neuroscience job openings:
What are the most commonly searched types of Machine Learning Neuroscience jobs? The most popular types of Machine Learning Neuroscience jobs are:
What states have the most Internship Machine Learning Neuroscience jobs? States with the most job openings for Internship Machine Learning Neuroscience jobs include:
Internship Machine Learning Neuroscience jobs near you
Machine Learning

Machine Learning

Neurable, INC

Cambridge, MA • On-site

Full-time

Posted 27 days ago

Job description

Company Description
Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.
Job Description
We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)
Qualifications
- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States
Additional Information
All your information will be kept confidential according to EEO guidelines.

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