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Machine Learning Neuroscience Postdoc Jobs (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX · On-site

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

An undergraduate, PhD student, or postdoc with practical experience working on ML problems ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Nudge

Machine Learning Engineer

San Francisco, CA · On-site

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.

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience). * Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience). * Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and ...

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 ...

Florida Atlantic University

NY · On-site

$55K - $65K/yr

Postdoctoral Fellow Application of Machine Learning and Robotics page is loaded## Postdoctoral Fellow Application of Machine Learning and Roboticslocations: Harbor Branch (HBOI)time type: Full ...

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Machine Learning Neuroscience Postdoc information

What is a machine learning neuroscience postdoc?

A Machine Learning Neuroscience Postdoc is a postdoctoral researcher who applies machine learning techniques to analyze and interpret neuroscientific data. This role often involves developing and implementing computational models to understand brain function, neural networks, or behavior. Postdocs in this field typically collaborate with experimental neuroscientists and computer scientists to advance research in areas such as brain imaging, neural decoding, and cognitive function. Their work contributes to both neuroscience discoveries and innovations in artificial intelligence.

What are the key skills and qualifications needed to thrive as a machine learning neuroscience postdoc, and why are they important?

To thrive as a Machine Learning Neuroscience Postdoc, you need a strong background in neuroscience, computational modeling, and machine learning, typically supported by a PhD in a relevant field. Proficiency with programming languages such as Python or MATLAB, experience with neural data analysis tools (e.g., PyTorch, TensorFlow), and familiarity with statistical software are essential. Critical thinking, collaboration, and strong scientific communication skills help distinguish candidates in this interdisciplinary field. These skills and qualities are crucial for advancing research, solving complex problems, and effectively sharing findings with both scientific and broader audiences.

What are some common challenges faced by a machine learning neuroscience postdoc, and how can they be addressed?

A Machine Learning Neuroscience Postdoc often encounters challenges such as integrating complex neural data with advanced computational models, staying updated with rapidly evolving machine learning techniques, and effectively collaborating with interdisciplinary teams. Balancing deep dives into neuroscience literature while developing and validating new algorithms can be demanding. To address these challenges, it's helpful to participate in regular lab meetings, seek mentorship from both computational and experimental experts, and allocate time for continuous learning through workshops or conferences. Building a strong professional network also supports collaboration and skill development.

What are popular job titles related to Machine Learning Neuroscience Postdoc jobs?

For Machine Learning Neuroscience Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Neuroscience Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Austin, TX • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

Full-time

Re-posted 6 days ago

Job description

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

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