Applied Machine Learning Engineer Intern

Key Skills

Python Programming, C++, C Programming, AWS, Machine learning techniques, Deep Learning, Keras software library, TensorFlow, Algorithms, Common data structures

Job Description

Internship Program Overview

Our interns will apply their education to meaningful projects in a team environment alongside a technical mentor. You will be exposed to many levels of management within our company concluding with an end of summer presentation to the executive team. Throughout the summer you will have the opportunity to acquire technical and professional skills, to participate in team building activities, and to enjoy social events in the Rocky Mountain region.

Internship Position Description

Ricoh is seeking an enthusiastic and motivated Machine Learning engineering intern to join a team of highly innovative engineers to design, validate and implement novel ML technologies. You will be looking at big data to enable automation of human tasks, optimize machine performance, analyze trends, and look at new and innovative methods for predictive maintenance.

Duties include:

• Work with the development teams to implement strategic and unique solutions
• Prepare and present detailed test reports for management, and engineering teams as required
• Investigating innovative machine learning, deep learning, NLP, and computer vision algorithms

Required skills:

• Bachelor's candidate in related engineering field
• Excellent programming skills in Python, with good understanding of data structures, software design principles and algorithms
• Hands-on experience working with deep learning toolkits such as Tensorflow and Keras
• Ability to understand and implement machine learning research papers
• Flexible and self-motivated -- with a problem solver's attitude
• Ability to work independently and collaborate cross-functionally in a team environment
• Effective written and verbal communication skills

Preferred skills:

• Master's/PhD candidate in in Computer Science or Electrical Engineering with an emphasis in ML
• Design and deployment of real-world machine learning solutions.
• Experience with implementing cloud distributed training approaches for deep learning models, experience with AWS a plus
• Excellent programming skills using C/C++
• Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience.

Education

• PhD, masters, or bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, Data Science, Statistics, or related areas.
• Candidate must be currently enrolled in an accredited college or university, or enrolled to continue their education in an accredited graduate program

Students must have a cumulative GPA of 3.0 or higher

Students are to successfully complete all required screenings prior to hire

Additional Pay Details:

Compensation range is $22.50 - $29.00