Machine Learning Intern - Rising Senior

TAI Machine Learning (ML) Internship (Rockville, MD) - Rising Senior

Temple Allen Industries (www.templeallen.com) is an industrial technology firm with its headquarters in Rockville, MD, just outside of Washington D.C. Temple Allen Industries was founded in 2003 on the belief that we can change how some of the hardest jobs in industry are done so that workers don’t have to choose between their job and their health. We build tools and solutions that protect workers, make them more valuable to their employers, and improve the company bottom line. The firm has enjoyed particular success in serving a prestigious list of aerospace clients in both commercial and defense sectors and is currently developing a line of smart automation products which promise to dramatically reshape the robotics, machine learning, and human augmentation landscape. 

Position:  Machine Learning Intern - Rising Senior

(note - if you’ve not a rising senior - there are versions of this internship posted for you too)

Position Overview:

We are looking for a select number of exceptional students who are currently enrolled in a top-tier undergraduate program in Computer Science or related disciplines to consider joining an elite team of their peers at Temple Allen Industries in Rockville, MD. 

The ideal applicant is a rising college senior in an engineering or pre-engineering program who really wants to spend a summer diving into the work of training machine learning models for our EMMA Smart Automation aerospace sanding systems. Candidates may also have the chance to get their hands dirty helping assemble cool and cutting edge products for our aerospace customers. In addition to computer skills, they should have some mechanical experience, excellent communication skills, and a high degree of mechanical aptitude. 

Duties and Responsibilities:

• Complete small project scopes for researching and implementing simple scripts used in the general machine learning process (collection, pre-processing/clustering, dataset generation, annotating, training, testing, and deployment) or for specific ML models being developed.
• Annotate images for machine learning models that will be used in a real production environment.
• Individuals showing very high potential in this role may earn the opportunity to lead a team of lower-tiered intern(s) to complete an annotation project for a model currently in development.
• Learn about the daily operations documentation and work completion procedures by using and reviewing documents such as BoMs, Purchase Order Requests, Part Receival Forms, etc. 
• This role is supported by a supervisor/ manager who can provide guidance on the importance of the work and support the intern in successfully completing their projects and annotating images for these models and learning about the real-world applications of machine learning and other engineering concepts.

Compensation: Employees in this role will be paid a fixed stipend of $800 per 40-hour work week

Time Commitment: Minimum two months 

Temple Allen is a non-smoking environment.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete a background check.