Sr. Machine Learning Engineer

  • Full-Time
  • Remote
  • Neurable
  • Posted 4 years ago – Accepting applications
Job Description

Neurable’s mission is to make technology universally accessible, intuitive and empowering through advanced applications of neurotechnology. Our brain-computer interface technology delivers unparalleled experiences to our customers across multiple platforms including mobile, PC, and virtual / augmented reality.

We are seeking a creative and talented Senior Machine Learning Engineer to join our team. Your work will directly contribute to advancements in the field of human-computer interaction.

The ideal candidate should be comfortable with creative problem solving in a startup environment. If you like tinkering, are curious by nature, and / or consider yourself a technologist or an innovator, you will fit in well on our team. This position will start remotely, but travel will be required into the Office once we reopen.

What You Will Do and Learn:

  • Participate in cutting-edge research in ML / AI applications for neurotechnology and brain-computer interfaces
  • Develop new algorithms as well as improve existing ones, with the goals of consistent performance and cross-subject capability
  • You will often be responsible for conceiving of approaches, literature review, proposing solutions, implementation, and testing.
  • You will be given wide latitude creativity in the approaches you take, but they should be guided by intuition
  • Signal processing / feature extraction plays a significant role in the efficacy of our solutions
  • We are primarily focused on EEG / EMG currently, and plan on working with other biosensor technologies in the future


Who You Are:

  • Interested in technology and the future of human-computer interaction
  • Enjoy working on small teams in a highly collaborative environment
  • Appreciate knowledge-sharing within the team and teaching others
  • Not afraid to experiment, fail, and then learn from the results
  • Desire to create a positive change in the world


The Ideal Candidate Will Have:

  • MS or Ph.D degree in computer science or related quantitative field
  • Experience in one or more of the following areas: machine learning, pattern recognition, computer vision, data mining or artificial intelligence
  • Experience developing and debugging in C/C++
  • Strong experience with Python
  • Bonus: previous experience with signal processing


Compensation and Benefits

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

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