Machine learning Engineer
: Job Details :


Machine learning Engineer

Ethereum Technologies LLC

Location: all cities,CA, USA

Date: 2024-09-12T12:07:41Z

Job Description:

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates are encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.

Job Overview

Job ID: J36993

Specialized Area: Machine Learning

Job Title: Machine Learning Engineer

Location: To Be Discussed Later

Duration: 8 Months

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Responsibilities:

  • Previous experience with programming on multicore CPUs and vector cores is preferred.
  • Basic understanding of machine learning networks such as ResNet, ResNeXt.
  • Basic understanding of machine learning operators such as convolutions and fully connected layers.
  • Team player with excellent communication skills and desire to tackle challenging problems.
  • Experience with machine learning frameworks such as Caffe2 and Pytorch is a plus.
  • Understanding of general computer architecture is a plus.

Equal Opportunity EmployerETHEREUM TECHNOLOGIES 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.

ETHEREUM TECHNOLOGIES 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 ETHEREUM TECHNOLOGIES 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.

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