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Executive Brain Machine Interface Jobs (NOW HIRING)

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, 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 ...

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, 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 ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, 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 ...

UI Design Engineer

Fremont, CA · On-site

$135K - $281K/yr

... interface with the brain. These devices allow us to restore movement to the paralyzed, restore ... Our team spans a wide range of disciplines, from neuroscience and machine learning to software ...

... be our primary executive responsible for the goals of the local Service department ... Machine-to-Machine Interface (M2M); and proprietary computer software (preferred). * Valid driver ...

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team spans a wide range of disciplines, from neuroscience and machine learning to software ...

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team spans a wide range of disciplines, from neuroscience and machine learning to software ...

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... possible in brain computer interfaces. Key Responsibilities * Research & Model Development:

Machine Learning Researcher

San Francisco, CA · On-site +1

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... possible in brain computer interfaces. Key Responsibilities * Research & Model Development:

... be our primary executive responsible for the goals of the local Service department ... Machine-to-Machine Interface (M2M); and proprietary computer software (preferred). * Valid driver ...

... be our primary executive responsible for the goals of the local Service department ... Machine-to-Machine Interface (M2M); and proprietary computer software (preferred). * Valid driver ...

... be our primary executive responsible for the goals of the local Service department ... Machine-to-Machine Interface (M2M); and proprietary computer software (preferred). * Valid driver ...

New

... Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CE ... world - Experience with Machine Learning, Computer Vision, Signals Processing preferred ...

... Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CE ... world - Experience with Machine Learning, Computer Vision, Signals Processing preferred ...

The Machine Shop team within Neuralink's hardware organization is responsible for delivering ultra ... brain-computer interfaces, surgical tools, and implant hardware across our Austin, Texas and San ...

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Executive Brain Machine Interface information

See salary details

$26.5K

$93.6K

$184K

How much do executive brain machine interface jobs pay per year?

As of May 28, 2026, the average yearly pay for executive brain machine interface in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Executive Brain Machine Interface jobs? Cities with the most Executive Brain Machine Interface job openings:
What are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
What states have the most Executive Brain Machine Interface jobs? States with the most job openings for Executive Brain Machine Interface jobs include:
Founding Machine Learning Engineer

Founding Machine Learning Engineer

Orbit

San Francisco, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Company Overview

We're a team of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding the human brain. Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction.

Our wearable BCI achieves fMRI-comparable resolution untethered to the lab. It's this advancement that enables us to build foundation models of emotion.

We're looking for people to help us build and scale. If you want to work on deep technology with real impact, and help define the future of brain-computer interfaces and AI, join us.

We're backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face, Apple, Stability, Microsoft and Dropbox. We're venture funded.

Team Building

We're building a generational founding team which is truly full-stack - from neural sensors to complex models. If you want to work on deep technological problems and help pioneer the future of NeuroAI, this is the place for you. Projects have opportunities for a high degree of autonomy and demand intense, fast-paced learning.

Responsibilities
  • Critically evaluate and implement the best machine learning approaches for our unique design problems in neural data

  • Work with real-time, multi-dimensional, multimodal datasets

  • Collaborate closely with neuroscience, hardware, and software teams to co-design end-to-end systems

  • Explore new model architectures and perform detailed experimentation and analysis

  • Learn neuroimaging and neuroscience context (we will support you in getting up to speed)

Qualifications
  • An BS or higher in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field (exceptional self-taught researchers also considered)

  • 3+ years of applied ML research or development experience, or equivalent depth through publications, projects, or startup work

  • Strong Python programming skills with experience in PyTorch, TensorFlow, or JAX

  • Built and iterated quickly on ML models and pipelines

  • Experience with data preprocessing, labeling, and exploratory analysis

  • Agility working with multimodal data (e.g., imaging + time series, text + audio)

  • Proven ability to thrive in small, fast-moving teams

Preferred Qualifications
  • Publications in top ML or domain-specific journals/conferences

  • Experience with biomedical, neuroimaging, or other high-dimensional sensor data

  • A background in signal processing for time-series or imaging data

  • Experience with distributed or large-scale training (e.g., mixed precision, very large datasets)

  • Knowledge of semi-supervised or self-supervised approaches

  • Excitement to learn neuroimaging and neuroscience context