Job ID:
J36993
Specialized Area:
Machine learning
Job Title:
machine learning
Location:
Irvine,CA
Duration:
9 Months
Domain Exposure:
Banking & Finance, Telecom, Aerospace/ Airlines, Education, Real Estate, IT/Software, Media/ Entertainment
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Member of Technical Staff position is for experienced and innovative Machine Learning practitioners to:
* Develop neural network models to run on real world devices
* Work across audio, image, video, and multi-modal sensor fusion problems
* Build data, training, and evaluation methods
* Experimentally validate methods for training neural networks that maximize power-efficiencies on processors
* Advise clients in optimizing networks targeting processors
* Build simulation models in TensorFlow for the computational properties of analog neural networks
* Occasionally publish results and/or file for patents in collaboration with hardware team
* Support and be supported by our team of hardware engineer
ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract