Careers @ IMS

LiDAR and Machine Learning Intern

Are you interested in helping a Tempe-based engineering services company use cutting-edge technology to help cities and counties throughout North America? We’re looking for a summer intern who is excited about LiDAR and machine learning applications and would like to spend the summer helping us identify how we can serve our clients with new tech.

IMS is a growing pavement analysis company with operations across North America. For more than 30 years, the company has used high-tech equipment to scan streets, sidewalks, and other road-related assets for city and county governments.

As we grow, we want to continue to be leaders in our industry by experimenting with LiDAR, machine learning, and more. If you’ve dabbled in that tech and want to be a part of real-world R+D and product development for a summer, please apply. The internship will include both everyday data processing that we do as we serve our clients and a large amount of experimental work with new tech.

Job Responsibilities:

• To help IMS experiment with and implement LIDAR- and machine learning-related service offerings, including identifying relevant hardware and software options and designing client deliverables.
• To apply systems engineering skill sets to identify potential improvements in IMS data collection and analysis workflows.
• To assist the IMS data and engineering teams with data processing and analysis.

Ideal Background / Experience / Abilities:

• Experience working with LIDAR hardware and software for real-world applications.
• Knowledge of computer science, ideally with a fluency in a relevant coding language.
• Familiarity with ArcGIS and other geospatial tools.
• Background working with complex systems and the integration of hardware and software.
• Familiarity with various hardware and software systems and how to integrate them into single process flows.
• Background identifying valuable improvements and creating plans to achieve the improvements.
• Familiarity with database technology and data management.
• Experience working with large data sets.

Candidate Competencies

Successful applicants will demonstrate the following characteristics:

• Grit and Initiative: Willing to do whatever it takes to overcome challenges and obstacles. Can think of creative solutions to problems that appear to have none.
• Clear Communication: Able to clearly and concisely communicate complicated ideas to clients, non-engineers, and other members of the team by phone, email, and in-person.
• Willingness to Learn: Does not feel the pressure to know the answer to every question, but can apply robust thinking and an inquisitive attitude to learn what is necessary.
• Grace Under Pressure: Can prioritize decisions and activities for maximum impact even in the midst of stress and distraction. ​