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Internship Brain Computer Interface Jobs in Bothell, WA

Amazon

Embedded Software Engineer, Leo MAC

Redmond, WA · On-site

$147.30K - $193.80K/yr

... interfaces Familiarity with SW/FW best practices (e.g., clean architecture, refactoring ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

Embedded Software Engineer, Leo MAC, Leo MAC

Redmond, WA · On-site

$147.30K - $193.80K/yr

... interfaces Familiarity with SW/FW best practices (e.g., clean architecture, refactoring ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

Software Dev Engineer, AWS S3/Glacier

Seattle, WA · On-site

... computer science problems. We are looking for someone who is keen to invent in this space, and ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

Embedded Software Engineer, Leo MAC, Leo MAC

Redmond, WA · On-site

$147.30K - $193.80K/yr

... interfaces Familiarity with SW/FW best practices (e.g., clean architecture, refactoring ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

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$12

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How much do internship brain computer interface jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship brain computer interface in Bothell, WA is $25.59, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $27.16 per hour, depending on experience, location, and employer.

What is an Internship Brain Computer Interface job?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the Internship Brain Computer Interface position, and why are they important?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What types of projects or tasks are typically assigned to interns in Brain Computer Interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.
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Internship Brain Computer Interface jobs near you
Research Scientist Intern, Robotic Control Policy (PhD)

Research Scientist Intern, Robotic Control Policy (PhD)

Meta

Redmond, WA • On-site

$7.65K - $12.13K/mo

Internship

Posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies

Job description

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing data-driven/ML-powered robotic control policies for dextrous manipulation and teleoperation applications. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
Conduct collaborative research on developing control policies for a range of robotics platforms.
• Implement frameworks to train state-of-the-art machine learning control policies such as Large Behavioral Models, Imitation Learning, and Reinforcement Learning.
• Develop robotic data collection pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Minimum Qualifications
• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field
• Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way
• Experience with RoS, Python, PyTorch or JAX, or other related languages
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
• Experience with modern control policies like reinforcement learning, imitation learning, and large behavioral models
• Familiarity with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory
• Experience working with robot manipulation
• Experience learning policies from human demonstrations with wearable devices
• Experience working and communicating cross functionally in a team environment
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
• Intent to return to the degree program after the completion of the internship/co-op
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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