Data Scientist / Machine Learning

  • Full Time
  • Massachusetts
  • Applications have closed

Data Scientist / Machine Learning

 

Brain Power is actively seeking a highly skilled, dedicated, and collaborative Machine-Learning specialist or Data Scientist who is ready to contribute to our mission in meaningful ways and make a difference in the lives of people with brain-based challenges.

As a member of our team, you will apply your technical skills to creating next-generation therapies for brain-related conditions such as autism, ADHD, traumatic brain injury, and/or anxiety. You will engage with signal processing, computer vision, and machine/deep learning; and implement new state-of-the-art algorithms and models to support research-and-development goals. You will have direct access to data collected from clinical study populations, schools, and end users. 

You will work directly with Amazon Web Services teams developing advanced machine-learning products, and/or Google machine learning or Google Brain teams. We are proud to have direct collaborations and you will get access to the newest and un-released platforms. 

 

Responsibilities:

  • Take the lead in projects involving AI, big data, and machine learning.
  • Help design, implement, and analyze techniques in signal processing, computer vision, anomaly detection, early warning detection, human behavior prediction, and deep learning.
  • Implement new state-of-the-art algorithms and ML models to support research and development goals.
  • Work with real-world human data, such as behavioral, performance, physiological, and mental-state data. 
  • Document methods, procedures, and results in ways  that are compliant with federal regulatory standards and recommendations.
  • Collaborate with others in a dynamic and lean multidisciplinary team environment to accomplish research goals.
  • Document your work. Represent your code graphically for strategy meetings.
  • Perform other duties as assigned.

 

Required Background:

  • Passion!
  • Master’s, PhD, or advanced undergrad in Engineering, Computer Science, Applied Mathematics, Biostatistics, or related field.
  • Demonstrated state-of-the-art knowledge of one or more specialization topics such as:
    • Signal processing/feature extraction — ideally with experience in clinical physiology (EEG, EMG, etc.), human kinematics, and/or interpretation of mobile accelerometry data.
    • Image processing/computer vision — particularly applications related to analysis of facial features (detection, recognition, affect classification), body motion tracking and movement classification, and/or real-time image effect processing (dynamic morphing/blending texture maps, “face replacement”).
    • Health informatics/biostatistics — particularly “big data” analysis of epidemiology or clinical/health records, or analysis of large scale non-clinical, public datasets to understand health-related trends.
  • Experience using contemporary software and/or hardware tools for algorithm and/or system development for signal processing, image analysis, and/or machine learning.
  • Demonstrated initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
  • Startup mentality

 

Preferred Background:

  • 3+ years experience in one or more of the following: Java, Android, Unity, C, C++, or C#.
  • 4+ years experience in one or more of the following: Matlab, R, Python, Tensor Flow.
  • Experience applying algorithms to operate in real-time on a mobile/wearable device OS.
  • Experience with cloud computing resources and data analysis techniques (e.g. Hadoop, MapReduce, Spark).
  • Experience in the AR/VR/xR industry
  • Experience in the assistive technology industry.
  • Experience working with people with ASD.

 

Brain Power is an equal opportunity employer.

 

Please Apply here.

No Comments

Sorry, the comment form is closed at this time.