Machine Learning Engineer

3 days ago


Santa Clara, California, United States Robotics Technologies LLC Full time
Job Overview

Job ID: J37968

Specialized Area: Python

Job Title: Machine Learning Engineer

Location: To Be Discussed Later

Duration: 10 Months

Domain Exposure: Manufacturing, Education, IT/Software

Work Authorization: To Be Discussed Later

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

Requirements:
  1. Proven experience in developing deep learning models using TensorFlow, PyTorch, Keras, and similar tools.
  2. Strong computer vision fundamentals, especially around object detection and tracking, 2D/3D Multiview, and segmentation.
  3. Strong hands-on experience in deep learning frameworks such as TensorFlow, PyTorch, Keras.
  4. Strong hands-on experience with Python/C++.
  5. Strong experience and understanding of modifying and applying supervised/un-supervised machine learning algorithms on visual data.
  6. Hands-on experience with OpenCV.
  7. Strong understanding of machine learning; proficient at data analysis, training evaluation, and fine-tuning.
  8. Bonus: Experience in Robotics, 3D Computer Vision, or AR/VR.

Equal Opportunity Employer: ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). We are committed to creating a diverse and inclusive work environment that values and respects all individuals. Our 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.

Company Overview: ROBOTICS TECHNOLOGIES LLC is a leading provider of innovative robotics solutions for various industries. We are dedicated to delivering cutting-edge technology and exceptional customer service. Our team of experts is passionate about developing and implementing advanced robotics systems that improve efficiency, productivity, and safety.



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