Machine Learning
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Machine Learning
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Machine Learning
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Machine Learning
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Software Developer
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Software Developer
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Software Developer
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Software Developer
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...
Neurable information
What are the key skills and qualifications needed to thrive as a neurotechnology engineer at Neurable, and why are they important?
To thrive as a neurotechnology engineer at Neurable, you need a solid background in neuroscience, biomedical engineering, or computer science, typically with experience in brain-computer interfaces (BCIs). Familiarity with EEG systems, signal processing software, machine learning frameworks, and relevant programming languages such as Python or MATLAB is essential. Strong problem-solving skills, creativity, and collaborative communication abilities help you innovate and work effectively with multidisciplinary teams. These skills and qualities are crucial for developing cutting-edge neurotechnology solutions that advance user interaction and accessibility.
What are some common challenges faced by professionals working in neurotechnology roles at companies like Neurable?
Professionals in neurotechnology roles at companies such as Neurable often encounter challenges balancing cutting-edge research with practical product development. Integrating brain-computer interface (BCI) technology into user-friendly applications requires close collaboration between software engineers, neuroscientists, and product designers. Additionally, maintaining data privacy and ethical use of neural data is an ongoing concern. Staying updated with rapid advancements in neuroscience and AI, while ensuring regulatory compliance, also presents unique challenges in this dynamic and innovative field.
What is a Neurable and what do they do?
Neurable is a company specializing in brain-computer interface (BCI) technology, which enables users to control software and devices using brain signals. Their products often focus on enhancing human-computer interaction, such as enabling hands-free control in virtual or augmented reality environments. Employees at Neurable typically work in roles related to neuroscience, engineering, software development, and product design. The company's mission is to make technology more accessible and responsive by leveraging neural data and advanced algorithms.
What is the difference between Neurable vs UX Designer?
| Aspect | Neurable | UX Designer |
|---|---|---|
| Required Credentials | Background in neuroscience, engineering, or related fields; knowledge of brain-computer interfaces | Degree in UX design, human-computer interaction, psychology, or related fields |
| Work Environment | Research labs, tech companies developing brain-computer interface products | Design agencies, tech companies, startups focusing on user experience |
| Industry Usage | Neurable specializes in brain-computer interface technology, often in healthcare and gaming | UX Designers work across various industries including tech, e-commerce, and software development |
Neurable professionals focus on developing brain-computer interface hardware and software, often requiring technical and neuroscience expertise. UX Designers concentrate on creating user-friendly interfaces and improving user experience across digital platforms. While both roles aim to enhance user interaction, Neurable roles are more technical and research-oriented, whereas UX Designers focus on usability and design principles.
More about Neurable jobs
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Job description
Company Description
Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.
Job Description
We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)
Qualifications
- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States
Additional Information
All your information will be kept confidential according to EEO guidelines.
Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.
Job Description
We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)
Qualifications
- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States
Additional Information
All your information will be kept confidential according to EEO guidelines.
About Neurable
Sourced by ZipRecruiter
Industry
Computer and electronic product manufacturing
Company size
1 - 10 Employees
Headquarters location
Cambridge, MA, US
Year founded
2015