Data Engineer

Neurable is seeking a Data Engineer to join our team and help build wearable devices powered by neurotechnology. Your goal will be to bring cutting-edge data management and AI/ML solutions to bear in the field of neurotechnology.
This position will be responsible for developing new tools to improve our neuroinformatics database and data archival pipeline. You will also work closely with our data science and data collection teams in order to deploy AI/ML models, clean and refine neural data streams, and develop processes for monitoring and visualizing data.
If you enjoy creative problem solving in a fast-paced startup environment. If you can find yourself getting lost tinkering. If you are curious by nature, consider yourself a technologist or someone who wants to affect change, you will fit in well with our team.
This is an opportunity to join a high-impact company, a world class team, and pioneer new technology that will change the way people interact with computers. We want you to have full creative latitude and know that this is your company, not just a job.
What You Will Do:

• Maintain and enhance pipelines for filtering, denoising, featurizing, and modeling EEG data
• Develop and maintain state-of-the-art methods for data archival and management
• Work closely with our experimental team to optimize the quality of data and data labels that are being collected
• Develop dashboards for continuous monitoring of data quality
• Develop new methods for denoising and preprocessing EEG data in conjunction with other modalities including accelerometer data
• Support server configuration (web and application) and deployment
• Lead Data Engineering efforts, including database and API design, data extraction/transformation/load, and data aggregation/integration
• Containerize and deploy software and workflows on local high performance computing platforms and cloud computing infrastructure (AWS)
• Communicate with internal teams and external stakeholders
• Define experiments, provide scientific guidance, and help the engineering team throughout R&D and Product life cycles
• Manage and contribute to grant applications, studies, and projects

The Ideal Candidate Will Possess:

• At least 6 months to 1 year of experience preferred
• PhD or Master's in Computer Science, Engineering, Cognitive or Computational Neuroscience, Physical Sciences, or Applied Mathematics/Statistics
• Excellent programming skills in Python, Bash, or MATLAB
• Experienced with version control, CI/CD, unit testing, and issue/release management
• Knowledgeable with API deployment and containerization
• The ability to get new applications up and running, and to overcome hurdles as they arise, is particularly helpful
• Experience in brain-computer interfaces or neuroengineering is preferred but not necessary
• Enthusiastic for building BCI technology and hungry to learn
• Basic experience with signal processing, machine learning, and deep learning frameworks (e.g., PyTorch, Tensorflow) is a plus
• Prior experience and continued interest in mentorship and technical development of junior Data Engineers
• Ability to solve problems that have not been solved, in other words, a willingness to explore the unknown and ability to make progress
• Ability to embrace uncertainty when working on challenging research questions
• Knowledge of perceptual/behavioral evaluations and physiological measurement is desired
• Hardware and software experience with multimodal data acquisition, instrumentation, and human-machine interfaces is a plus

Compensation and Benefits:

• Competitive salary and equity
• High quality health insurance (100% company paid)
• 401(k) with employer matching contributions
• Generous PTO
• Pet friendly office, fun team activities, and homemade waffles every Wednesday!

We are not able to provide a visa or sponsorship for this position. All candidates must be authorized to work in the USA.