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Research Brain Computer Interface Jobs (NOW HIRING)

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Neara

R&D Senior Process Engineer

Addison, TX · On-site

$125 - $150/hr

R&D Senior Process Engineer Job type: Full Time · Department: Microfabrication · Work type ... brain-computer interface (BCI) to heal and empower millions of people living with neurological ...

Slope

Research Associate

San Francisco, CA · On-site

$100 - $125/hr

We're pursuing this goal by developing fundamentally new approaches to brain-computer interfaces ... As a Research Associate, you'll join a multidisciplinary group advancing core biological research ...

Neuralink

Software Engineer, BCI Applications

Austin, TX · On-site

$150K - $281K/yr

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their ...

Neara

Senior Quality Reliability Engineer

Addison, TX · On-site

$125 - $150/hr

... research into real‑world medical solutions. As a Precision employee, you'll join one of the fastest‑moving and best‑capitalized companies in the emerging field of brain-computer interfaces.

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All JobsResearch Brain Computer Interface Jobs

Research Brain Computer Interface information

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$33K

$69.7K

$183.5K

How much do research brain computer interface jobs pay per year?

As of Sep 9, 2026, the average yearly pay for research brain computer interface in the United States is $69,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $65,000.00 per year, depending on experience, location, and employer.
Infographic showing various Research Brain Computer Interface job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $69,680 per year, or $33.5 per hour.

Founding Machine Learning Engineer

San Francisco, CA • On-site

Orbit Neuro
See more jobs at Orbit Neuroexternal

$225K - $275K/yr

Full-time

Re-posted 19 days ago

Job description

About the company
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.
About the team we are 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.
You will:
  • 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)
You have:
  • 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
You might also have:
  • 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

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