Find Jobs
Find Jobs Near You – Available Work in Your Location
MACHINE LEARNING / ARTIFICIAL INTELLIGENCE (AI) INTERN
Career Insights for Data Scientist
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Minnesota data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$104,749 / year median in Minnesota
+16% projected growth
Job Description
Job Title:
Machine Learning /
Artificial Intelligence Intern FLSA Status:
Non Exempt Department:
R D Engineering Reports to: Lead Engineer, Data Science
AI/ML 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