Reinforcement Learning Intern

The Reinforcement Learning Intern will be responsible for conducting research, developing RL algorithms and models to perform various levels of complex tasks, and applying machine learning techniques to solve real-world problems. They will work closely with engineering teams to ensure that scalable and reliable solutions are developed based on customer requirements.

Qualifications
 Bachelor's, master's, or doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
 Strong proficiency in programming using Python
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 Experience in Reinforcement Learning
 Expertise in statistical modeling and machine learning algorithms
 Strong analytical and problem-solving skills, with an ability to work independently or with a team to drive results
 Excellent communication skills and a proven ability to collaborate with others
 Experience managing and analyzing large datasets
 Experience with Natural Language Processing, Computer Vision and Signal Processing is a plus

Job Type: Full-time

Benefits:
 Work from home

Schedule:
 Monday to Friday

 Performance bonus

Application Question(s):
 Experience in Reinforcement Learning will be the first qualifying criteria

Education:
 Master's (Preferred)

Work Location: In person

Expected Start Date: 01/09/2024,