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Brain Machine Interface Jobs in Berkeley, CA (NOW HIRING)

Merge

Data Scientist, Bioengineering

San Francisco, CA · On-site

$140 - $230/hr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... Experience bridging machine learning and experimental science, especially working with sparse ...

Alljoined

Software Engineer

San Francisco, CA · On-site

$140K - $200K/yr

... brain-computer interfaces. You might be a good fit if you * Have 5+ years of production software ... Experience developing internal libraries, SDKs, or tooling that powers machine learning and ...

Merge Labs

MLOps Research Engineer

San Francisco, CA · On-site

$200K - $235K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... Experience bridging machine learning and experimental science - working with sparse, noisy, and or ...

Merge Labs

Senior Recruiter

San Francisco, CA · On-site

$120K - $200K/yr

Our hiring spans bioengineering, neuroscience, machine learning, engineering, and adjacent scientific and technical disciplines that contribute to building brain-computer interfaces that bridge ...

Slope

Senior Recruiter

San Francisco, CA · On-site

$80 - $120/hr

Our hiring spans bioengineering, neuroscience, machine learning, engineering, and adjacent scientific and technical disciplines that contribute to building brain-computer interfaces that bridge ...

Merge

Senior Recruiter

San Francisco, CA · On-site

$80 - $120/hr

Our hiring spans bioengineering, neuroscience, machine learning, engineering, and adjacent scientific and technical disciplines that contribute to building brain-computer interfaces that bridge ...

Zyphra

Principal Solutions Architect

San Francisco, CA · On-site

... brain-computer interfaces and neural signal processing, or agentic AI systems * A PhD in machine learning, computer science, neuroscience or a closely related field is strongly preferred; exceptional ...

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Brain Machine Interface information

See Berkeley, CA salary details

$17

$27

$37

How much do brain machine interface jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for brain machine interface in Berkeley, CA is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $31.20 per hour, depending on experience, location, and employer.

What is a brain machine interface?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the typical daily responsibilities of someone working in a brain machine interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the brain machine interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

What are the most commonly searched types of Brain Machine Interface jobs in Berkeley, CA?

The most popular types of Brain Machine Interface jobs in Berkeley, CA are:

What are popular job titles related to Brain Machine Interface jobs in Berkeley, CA?

For Brain Machine Interface jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Brain Machine Interface jobs in Berkeley, CA look for?

The top searched job categories for Brain Machine Interface jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Brain Machine Interface jobs?

Cities near Berkeley, CA with the most Brain Machine Interface job openings:

Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in Berkeley, CA as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $58,122 per year, or $27.9 per hour.

Data Scientist, Bioengineering

Merge Labs

San Francisco, CA • On-site

$120K - $200K/yr

Full-time

Posted 22 days ago

Key responsibilities

  • Collaborate with wet-lab scientists to define optimization objectives, metrics, and encode domain-specific priors for computational modeling.

  • Develop data-analysis pipelines that transform raw biological data into actionable insights for experimental and computational researchers.

  • Work with ML researchers to develop and run ML pipelines that enable de-novo design and active learning cycles in bioengineering domains.

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 need a Data-Scientist who can sit at the interface of Ultrasound, synthetic-biology, and research platforms (imaging, sequencing) and drive the development of rigorous data-analysis pipelines that surface actionable insights for experimental and computational researchers alike. This person will collaborate with domain experts in ML, Ultrasound, synthetic biology, and data-engineering to develop data-analysis pipelines that transform "raw" data into actionable artifacts. This person will subsequently collaborate with ML researchers to develop and run ML pipelines that enable de-novo design and closed-loop active learning cycles across a number of problem domains in bioengineering (delivery, immunology, synthetic biology, protein-engineering).
In this role, you will:
  • Collaborate with wet-lab scientists to define tractable optimization objectives and metrics, and encode domain specific priors and constraints for downstream computational modeling.
  • Stay current with research in Synthetic Biology and ML-guided molecular and cellular engineering, as well as data-analysis methods and techniques for biological data (OMICS, Agentic-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:
  • Deep grounding in synthetic biology, molecular engineering, and computational methods for data-analysis.
  • Experience in biomolecular ultrasound.
  • Familiarity with fundamental concepts in NGS, Omics, ML, and molecular engineering.
  • Proficiency in Python / PyTorch / BoTorch / Pyro and comfort writing clean, reproducible production grade code.
  • Experience bridging machine learning and experimental science, especially working with sparse, noisy, and or high-cost data.

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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