13 Feb Neural Data Signal Processing / Machine Learning
Neural Data Signal Processing / Machine Learning
Neuroscience Venice, Los Angeles, CA, USA
JOB SUMMARY:
Kernel is developing next generation devices for brain interfacing. We are commercializing breakthrough neuroscience technologies that can treat disease and dysfunction, illuminate the mechanisms of intelligence, and extend cognition. We are searching for world-class talent in signal processing and machine learning to transform the way we use and think about our brain. At Kernel, new ideas become innovative products and customer experiences. Imagine what you could do here.
ESSENTIAL FUNCTIONS:
- Design and implement machine learning techniques aimed at solving specific problems
- Construct and curate large problem specific datasets
- Conceive deep learning approaches to solving particular product problems
- Develop algorithms to handle data contaminants
- Collaborate with a diverse team of neuroscientists, engineers, and physicists in order to develop and transfer designed technologies to product groups
BASIC QUALIFICATIONS:
- B.S, in CS, ML or related field
- 3+ years of relevant professional experience in signal processing roles
- Extensive knowledge with neural networks, machine learning concepts, and deep learning concepts
- Strong C++ and Python coding skills
- Experience using and modifying TensorFlow, Caffe, & PyTorch code and/or other neural network development frameworks
- Knowledge of time frequency analysis, biostatics, artifact removal, and discrete/continuous time series analysis.
PREFERRED SKILLS:
- Experience in the neuroscience, biology or related field
- Industry experience dealing with large datasets and deploying real-time algorithms at scale
- Advanced level of proficiency with OpenVX, GPU OpenCL/Cuda programming, image processing, and compression techniques
Please Apply here.
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