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Machine Learning

2 months ago

Georgetown, United States Loram Full time

Job Title: Machine Learning / Artificial Intelligence Intern

FLSA Status: Non Exempt

Department: R&D Engineering

Reports to: Director of Emerging Technologies & IP

GENERAL DESCRIPTION / PURPOSE:

The Machine Learning / Artificial Intelligence Intern will assist in planning, researching, developing, and implementing new technologies for image processing and data analysis in the railroad industry. Duties will include all facets of product life cycle for prototype and production systems. Candidate will be required to work with internal and external stakeholders. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Functional & Technical Skills

  • Develop and implement ML and CV algorithms for a variety of problems including classification, identification, and robotics
  • Assist with planning and execution of software testing activities, as well as complex and challenging technical projects
  • Participate in requirements gathering and evaluation methods for AI technologies and benchmark vendor technologies
  • Aid in the design, build, and implementation of AI solutions for our proof of concepts and experiments
  • Knowledge and hands-on expertise in deep neural network topologies such as convolutional nets, recurrent nets, RBMs, causal reasoning, probabilistic programming
  • Evaluate positive and negative aspects of competing technologies from the perspective of both the solution provider and the customer
  • Capabilities to manage large amounts of data including developing effective coding / scripting routines for automation of data management
  • Passion for driving innovation in railroad environment that prioritizes safety, up-time, and daily production
  • Collaborate with team members to automate railway maintenance equipment
  • Deploying AI software to existing inspection systems operating in real-time environments
  • Integrate cutting edge models into training and annotation pipeline

BEHAVIORAL COMPETENCIES:

  • Action Oriented
  • Passion for Results
  • Problem Solving
  • Peer Relationships
  • Safety Awareness
  • Technical Learning