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Brain Computer Interface Jobs in California (NOW HIRING)

Merge Labs

Research Associate

San Francisco, CA · On-site

$95K - $120K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

OSI Engineering

Head of Product Design

Palo Alto, CA · On-site

$300K - $350K/yr

You will define and own the physical product experience for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup building an AI-powered neural interface platform.

Merge Labs

Histology Technician

San Francisco, CA · On-site

$95K - $120K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Neuralink

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

Merge Labs

Scientist - Cell Biology

San Francisco, CA · On-site

$120K - $215K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Subsense

Social Media Manager (Contract)

Palo Alto, CA · On-site +1

$25 - $40/hr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

Merge Labs

Senior Recruiter

San Francisco, CA · On-site

$120K - $200K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

OSI Engineering, Inc.

Lead Sensor Engineer

Palo Alto, CA · On-site

$300K - $400K/yr

Lead Sensors Engineer / Sensor Architect You'll own sensor architecture and sensing system development for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup ...

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Brain Computer Interface information

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$54

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How much do brain computer interface jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for brain computer interface in California is $54.22, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $61.68 per hour, depending on experience, location, and employer.

What is a brain computer interface?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are some common challenges faced by professionals working in brain computer interface roles?

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.

What are the key skills and qualifications needed to thrive in the brain computer interface position?

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

What are the most commonly searched types of Brain Computer Interface jobs in California? The most popular types of Brain Computer Interface jobs in California are:
What are popular job titles related to Brain Computer Interface jobs in California? For Brain Computer Interface jobs in California, the most frequently searched job titles are:
What job categories do people searching Brain Computer Interface jobs in California look for? The top searched job categories for Brain Computer Interface jobs in California are:
What cities in California are hiring for Brain Computer Interface jobs? Cities in California with the most Brain Computer Interface job openings:
Brain Computer Interface jobs near you
Infographic showing various Brain Computer Interface job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $112,769 per year, or $54.2 per hour.

ML Research Scientist - De Novo Design

Merge Labs

San Francisco, CA • On-site

$200K - $270K/yr

Full-time

Re-posted 16 days ago

Job description

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
About the team:
Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group collaborates extensively with wet-lab scientists, automation engineers, and data engineers to create ML frameworks that accelerate molecule discovery and device optimization.
About the role:
We're hiring a Senior / Principal ML Scientist to design and scale de novo design frameworks that guide molecular engineering campaigns through iterative design-build-test-learn (DBTL) cycles. Starting from a blank slate, you'll first architect the company's closed-loop optimization backbone-building the data and modeling foundations that connect experiments to these ML frameworks. Over time, you'll help translate these prototypes into production pipelines that measurably improve experimental throughput and discovery success across multiple biomolecular and neuroengineering verticals.
In this role, you will:
  • Build the scientific and engineering scaffolding in collaboration with data-engineering & MLOps for de novo design and closed-loop optimization, including data ingestion, ML modeling, and library design.
  • Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints.
  • Prototype de novo design frameworks using internal and public datasets; benchmark and validate model performance.
  • Integrate ML models with experimental data streams and serve to non-domain experts for model democratization.
  • Extend ML frameworks to handle multi-objective or constrained optimization problems.
  • Stay up-to-date with the latest research in de novo design, and prototype novel algorithms that can be deployed to improve the company's discovery or development workflows.
  • Contribute to the long-term research roadmap and serve as a thought-leader for scientists.

You might thrive in this role if you have:
  • Strong grounding in SSMs, LLMs, SE(3)-equivariance, Flow-matching.
  • Working knowledge of transfer-learning strategies.
  • Proficiency in Python / PyTorch / Jax and comfort writing clean, reproducible production grade code.
  • Experience bridging machine learning and experimental science - working with sparse, noisy, and or high-cost data.
  • A collaborative, systems-level mindset.
  • Nice to have: familiarity with neuroscience.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.

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