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Idaho Occupational Therapy Associaton

Machine Learning Engineer

Idaho Occupational Therapy Associaton, Mountain View, CA, United States


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

Candidates 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: Mountain View, CA

Duration: 11 Months

Work Authorization: To Be Discussed Later

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

Minimum Qualifications

  1. Master's degree/PhD in Computer Science, Data Science, AI, ML, or a related technical field or equivalent practical experience.
  2. 2 years of work or educational experience in Machine Learning or Artificial Intelligence using TensorFlow and Keras.
  3. Experience with one or more general-purpose programming languages including but not limited to: Python (Must), Java, or C/C++.

Preferred Qualifications

  1. MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  2. Deep learning experience with TensorFlow and Keras is a must.
  3. Experience with different data processing libraries such as NumPy.
  4. Experience with machine learning data pipelines.
  5. Familiarity with different networks: CNN, RNN, LSTM.
  6. Familiarity with different model architectures.

3D 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. 3D 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.

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