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Internship Machine Learning Neuroscience Jobs (NOW HIRING)

Nudge

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

About the role As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience.

nudge

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

About the role As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience.

Instacart

OR

Prior industry or research internship in machine learning or AI * Interest and experience in translating research ideas into scalable production systems

Ametek

Machine Learning Engineer

Herndon, VA · On-site

... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ... Compensation Employee Type: Salaried Currency: USD Salary Minimum: 130,000 Salary Maximum: 155,000 ...

Intel

Machine Learning Engineer

Folsom, CA · On-site

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

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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
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Nudge

San Francisco, CA • On-site

$120K - $159K/yr

Full-time

Posted 21 days ago

Job description

About Nudge

At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other.

About the role

As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience. You’ll lead technical direction across core ML initiatives while remaining deeply involved in architecture, modeling, and deployment.

In this role, you will:

  • Lead the design and development of imaging algorithms that leverage in-house ultrasound transducers and high-performance compute to image the brain and skull

  • Drive the development of high-resolution acoustic simulation systems to model the propagation and scattering of ultrasound energy and accurately predict delivered dose

  • Architect computer vision and real-time inference systems that track brain motion and dynamically adapt targeting parameters during treatment

  • Partner closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists to translate research concepts into robust production systems

  • Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure

  • Mentor and elevate other engineers through technical leadership, code review, and systems-level thinking

  • Help shape the long-term ML roadmap as we apply machine learning in a domain where it has not traditionally been used

About you

We are looking for engineers with at least 3 years of industry experience. Regardless of career level, you should have:

  • Strong first-principles understanding of engineering, physics, and signal processing.

  • Experience writing production-level code (Python preferred)

  • A degree in Computer Science or similar engineering discipline

  • You do not need prior experience with ultrasound or neuroscience

  • Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors

  • High integrity and strong professional judgement