
19 Jun Deep Learning Research Engineer – Neurotechnology
The Position
We are seeking a highly talented and motivated research engineer who is fascinated by the latest developments in ML/AI and is looking for the most exciting, challenging, and high-impact areas to apply them. You will be part of team of senior researchers and engineers where you will focus on designing and implementing advanced brain-computer interface technology using state of the art deep learning techniques. Your research & development will help power the coming generation of brain-based human-machine interfaces where neurotechnology is integrated into everyday life.
Responsibilities
- You will work directly with senior staff on developing new methods for applying deep learning on EEG and other physiological data.
- You will write production-grade code and train Brain-Computer Interface models on large amounts of EEG data.
Professional Requirements
- 3+ years of programming experience, 2+ years in Python
- Bachelor’s degree in Computer Science, Electrical Engineering, Applied Math, Computational Neuroscience or comparable discipline, Masters preferred.
- Must have excellent communication skills, ability to self-manage projects, and a desire to thrive in a fast-paced and challenging high-tech startup environment
- Collaborative, positive, team-oriented mindset
Technical Requirements
Required Skills:
- Demonstrated familiarity with at least one Deep Learning framework (Keras, TensorFlow, Theano, Caffe, Torch, Lasagna..)
- Demonstrated expertise in machine learning in general and familiarity with best practices
- Extensive understanding of deep learning theory, techniques and best practices
- Demonstrated algorithm development skills
- Familiarity with time-series analysis
- Demonstrated excellent programming capabilities and good code hygiene (clean, documented code)
- Demonstrated excellent technical reasoning and problem-solving skills
- Familiarity with modern software development standards
Preferred skills:
- Prior experience with biomedical time series analysis, preferably EEG
- Familiarity with version control and issue tracking environments
This is a full time position at our San Diego office.
Note: Intheon will not sponsor applicants for a work visa (e.g. H-1B) for this position.
How to Apply
Please apply for these positions through our Indeed.com jobs page or directly via email to jobs@intheon.io.
If you have a github or other public code repository, please include a link with your resume!
Intheon is committed to the principle of equal opportunity employment for all. We welcome all applicants, and each applicant is considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status, or any other status protected by applicable laws and regulations.
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