OP3N WORLD

Machine Learning Engineer Intern - Remote

OP3N WORLD CA Los Angeles, California, United States
Full-time $21k - $64k Posted about 3 years ago

Responsibilities

  • check_circle Conduct research and analysis on various machine learning techniques and algorithms
  • check_circle Evaluate, Build and test prototypes of machine learning models
  • check_circle Collect and analyze data to improve model accuracy and performance
  • check_circle Write and maintain code for machine learning models and experiments
  • check_circle Collaborate closely with Product and Engineering teams to seek feedback. 
  • check_circle Participate in team meetings and provide regular progress updates
  • check_circle Keep up-to-date with the latest research and developments in machine learning

Basic qualifications

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • Strong programming skills in Python and experience with machine learning libraries such as TensorFlow.
  • Knowledge of machine learning algorithms such as neural networks, decision trees etc. 
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently and as part of a team
  • Have a Start-up mindset - ability to deal with ambiguity and work with minimal supervision. 

Benefits

  • check_circle Gain hands-on experience in cutting-edge machine learning research and development
  • check_circle Develop your technical and problem-solving skills
  • check_circle Opportunity to work on real-world projects and contribute to cutting-edge research

Tags & Focus Areas

Remote Machine Learning Ai Dev Intern Entry Level Engineer Gaming Tensorflow Python

About OP3N WORLD

We are seeking a highly motivated and enthusiastic Machine Learning Engineer Intern to join our team. As an Intern, you will work closely with our Product and Engineering teams to research, implement, train and evaluate innovative machine learning models to build our next generation, AI powered Games and Spaces.  Key Responsibilities:

Industry Remote
HQ los-angeles, united-states