FB Career Openings for BCI

Facebook has more than 2500 career openings including some jobs related to Brain-Computer Interfaces.

As rumors pile up that Facebook is working on moving into consumer hardware, all eyes remain on the company’s Building 8 division, which handles those projects. Dugan presented onstage at Facebook’s F8 conference this year, talking about some of the company’s more long-shot projects, like embeddable brain sensors that could promote a more tight interface with hardware products.

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Typing 100 Words in a Smartphone using just Your Mind

As I published during June 2017, Facebook aims to allow people to type 100 words per minute with just your mind, 5X faster than typing on a smartphone. Knowing the technological evolution that we are living, in your opinion, how many years Facebook will need to create this BCI solution? The possible answers are: 2 years, 5 years, 10 years, 20 years or never. Share your opinion pressing here.

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FB dream: type 100 words/minute on a phone with just your mind

At April 19, after the FB presentation about it's secret team "Building 8" working in BCI, the media started publishing a lot of articles about the new FB/BCI revolution.

Facebook revealed it has a team of 60 engineers working on building a brain-computer interface that will let you type with just your mind without invasive implants. The team plans to use optical imaging to scan your brain a hundred times per second to detect you speaking silently in your head, and translate it into text. Regina Dugan, the head of Facebook’s R&D division Building 8, explained to conference attendees that the goal is to eventually allow people to type at 100 words per minute, 5X faster than typing on a phone, with just your mind.

This presentation was a mix of research and a pure marketing campaign. Of course the technology will grow up in the next years but there are a lot of "technical" barriers that will need time to type a message in your smartphone just using your thoughts. I belive this will be possible and it will be a total user-interface revolution. But, as the cancer cure aim, it needs years of work, doubt and research. 

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Typing-by-Brain Facebook Project

First it was Elon Musk, now Facebook. Suddenly, all the big Silicon Valley players want to get into brain tech (IEEE Spectrum). Mark Zuckerberg added his perspective on the news in a post soon after the announcement, presenting the brain-typing project as a natural evolution of Facebook’s mission to help people share their interior worlds. If they like sharing comments, photos, and videos, why not directly share their thoughts too?

In my opinion, we must invest in this BCI solution for several years to achieve a fluid and natural writing resorting solely to the identification of brain electrical impulses through non-invasive equipment. 

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Facebook is looking for a BCI Engineer - Salary: $145.000/year

Facebook's mission is to give people the power to share, and make the world more open and connected. The Technical Project Team has the responsibility for scoping the effort from inception to product, communicating it to others, creating the partnerships necessary to achieve targeted results, and hitting key milestones. 

B8 seeks an experienced Brain-Computer Interface (BCI) Engineer who will be responsible for working on a 2-year B8 project focused on developing advanced BCI technologies. We are looking for a slightly impatient individual willing to face down their fear of failure to accomplish bold things. This is a two-year position based in our Menlo Park office.

Responsibilities

• Application of machine learning methods, including encoding and decoding models, to neuroimaging and electrophysiological data
• Oversee collaborative research, data management, and software development across a diverse set of external partners including academic and industrial organizations
• Travel to partner sites to review progress and facilitate collaboration

Minimum Qualifications

• Ph.D. degree in neuroscience, computer science, electrical engineering, or related quantitative technical field required
• 3+ years of experience with brain-computer interface technologies or other applications or machine learning methods to neuroimaging and/or electrophysiological data
• Ability to work effectively with diverse partners, vendors, and internal teams.
• Knowledge with software engineering and development
• Familiarity with commercial or open source software packages for artificial speech recognition, natural language processing, or computer vision methods

More information press here

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