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Machine Learning Neuroscience Jobs (NOW HIRING)

Qualcomm

Machine Learning R&D

San Diego, CA · On-site

Engineering Group, Engineering Group > Machine Learning Researcher General Summary: About the Team ... Physics, Neuroscience, Economics, and VLSI Design, united by our passion to solve challenging ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field * 2+ years of academic or industry experience * A strong understanding of the scientific ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

... Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and ...

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Machine Learning Neuroscience information

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$25.5K

$42.6K

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How much do machine learning neuroscience jobs pay per year?

As of Jul 7, 2026, the average yearly pay for 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 in the Machine Learning Neuroscience position, and why are they important?

To thrive in a Machine Learning Neuroscience role, you need a solid background in neuroscience, advanced machine learning methods, statistical analysis, and preferably a graduate degree in a related field. Experience using programming languages such as Python or MATLAB, along with tools like TensorFlow, PyTorch, and neuroimaging platforms, is highly desirable. Strong analytical thinking, effective communication, and the ability to work collaboratively across interdisciplinary teams are vital soft skills. These competencies enable professionals to develop impactful models, interpret complex brain data, and drive innovative research or clinical applications in neuroscience.

What is a Machine Learning Neuroscience job?

A Machine Learning Neuroscience job involves using machine learning techniques to analyze and model neural data, helping to understand brain function or improve neurotechnology. Professionals in this field work at the intersection of artificial intelligence, neuroscience, and data science, often developing algorithms to interpret neural signals or enhance brain-computer interfaces. Roles can be found in academia, healthcare, and tech industries, contributing to research, diagnosis, or neuroadaptive systems. Strong skills in programming, statistics, and neuroscience fundamentals are typically required.

What are the typical daily tasks and team dynamics for someone working in a Machine Learning Neuroscience role?

In a Machine Learning Neuroscience position, your daily activities might include designing and running algorithms on neurological datasets, interpreting results, refining models, and collaborating with neuroscientists and clinicians. You’ll often work closely with cross-functional teams, contributing technical expertise to research studies or healthcare projects. Regular team meetings, data discussions, and collaborative problem-solving are a central part of the work environment. This collaborative structure fosters innovative ideas and ensures that machine learning approaches are well-suited to real-world neuroscience challenges.

How much do machine learning engineers make in neuroscience?

Machine learning engineers working in neuroscience typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Advanced skills in deep learning, data analysis, and programming languages like Python or MATLAB are often required, and roles may involve research environments or biotech companies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in technology companies or research institutions offering top-tier compensation packages.

Which 3 jobs will survive AI?

Machine Learning Neuroscience professionals are likely to continue in roles that require complex problem-solving, creativity, and understanding of human cognition, such as research scientists, clinical neurotechnologists, and AI ethics specialists. These roles depend on specialized knowledge, critical thinking, and interdisciplinary skills that are less susceptible to automation. Continuous learning and expertise in neuroscience and AI tools will help ensure job security in this field.

Is machine learning used in neuroscience?

Machine learning neuroscience involves applying machine learning techniques to analyze neural data, model brain functions, and develop brain-computer interfaces. Professionals in this field use tools like neural networks, statistical models, and programming languages such as Python or MATLAB to interpret complex biological signals. It is a growing area that combines expertise in neuroscience, data science, and machine learning algorithms.
More about Machine Learning Neuroscience jobs
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 Machine Learning Neuroscience jobs? States with the most job openings for Machine Learning Neuroscience jobs include:
What job categories do people searching Machine Learning Neuroscience jobs look for? The top searched job categories for Machine Learning Neuroscience jobs are:
Machine Learning Neuroscience jobs near you
Infographic showing various Machine Learning Neuroscience job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research Engineer, Machine Learning

Basis Research

New York, NY • On-site

$120K - $180K/yr

Full-time

Posted 19 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research engineers support Basis' mission by translating research ideas into correct, robust, and scalable high-quality code.
We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to conduct rigorous, high-quality, robust science, unafraid to tinker, make mistakes, and explore radically different ideas to achieve this.
Basis is a collaborative endeavor, both internally and with our external partners; we seek individuals who relish working with others on challenges larger than those they can tackle alone.
Machine Learning Research Engineers
This role targets experts in machine learning engineering. The core areas of ML research engineering include:
  • Probabilistic programming and statistical inference
  • Deep learning
  • Causal inference
  • Program synthesis and analysis
  • ML Ops and systems engineering

These areas are honed within the context of building reasoning systems. Consequently, research engineers will also engage with topics such as programming language design and implementation, automatic differentiation, and SAT/SMT solvers, among others.
We expect you to:
  • Possess excellent programming and software engineering skills, especially in Julia, Python, C++, ML-family languages.
  • Have demonstrated the ability to drive software projects from start to finish. This could be evidenced by open-source projects, technical reports, and publications.
  • Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML.
  • Progress with a high degree of autonomy and under uncertainty.
  • Be enthusiastic about solving real-world problems and making a positive societal impact.
  • Have demonstrated significant technical achievements within ML engineering. Examples include:
    • You've implemented variants of newly published techniques from scratch.
    • You built systems and workflows for training large models distributed across many machines.
    • You've built systems that span all levels of the programming stack from high-level API infrastructure to close-to-the-metal code.

In addition, the following would be an advantage:
  • A PhD (or equivalent experience) in technical areas including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.

Responsibilities:
  • Translate research ideas into correct, robust, and scalable high-quality code.
  • Engage in programming language design/implementation.
  • Performance engineering, scaling research code.
  • Algorithm development.
  • Contribute to the culture and direction of Basis.
  • (Optionally) Publish and present findings in journals and conferences.
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Boston.
  • Salary range: Competitive salary and bonuses

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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