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Machine Learning - Internship- Fall 2023
Recruited by DEKA Research & Development 10 months ago Address Manchester, NH, United States

Machine Learning- Internship- Perception- Fall 2023

Company

DEKA Research & Development

Address Manchester, NH, United States
Employment type INTERN
Salary
Category Medical Equipment Manufacturing
Expires 2023-09-22
Posted at 8 months ago
Job Description
DEKA Research & Development, housed in Manchester, NH, has an exciting opportunity for a Machine Learning Intern to work in a dynamic R&D environment as part of the perception team. In this role, you will work alongside a group of passionate engineers to do research and solve the challenging perception problems including scene understanding, object detection, localization, motion prediction, etc. to develop our SENTRY robot. Our robot is capable of autonomous navigation and change detection across variable patrol routes in an ever-expanding list of conquerable environments. A safer community is possible through the rapidly growing field of autonomous robotics, and SENTRY can act as a beacon of innovation in security.
DEKA offers Internships and Co-Ops for full time students* (must be at least 18 years of age). Internships last a minimum of 10 weeks, 12 preferred. All Fall internships must start no later than September 18, 2023 and be available until at least mid-December 2023.
How you will make an impact:
  • Integrate with existing software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review
  • Design, develop, and deploy state-of-the-art deep learning perception and computer vision techniques to solve real problems for our robot.
  • Collaborate with various teams to achieve objectives in improving system performance and safety
  • Translate generated algorithms into production-level code
  • Research and evaluate the performance of the new ML architecture on real-world and simulated data sets to solve challenging computer vision problems
Skills we are looking for:
  • Experience working with computer vision models for object detection, semantic segmentation, depth estimation, motion prediction, 3D reconstruction, or visual odometry/SLAM.
  • Ability to work with fast pace environments and implement new state of the art models.
  • Experience dealing with sensor data is a plus (camera, Lidar, radar)
  • Currently enrolled in Masters or PhD in CS, ECE, Aerospace, Robotics, or similar engineering field.
  • Experience with real and synthetic data curation for computer vision problems is a plus
  • Must have knowledge in at least one of the following deep learning models: CNNs, vision Transformers, GANs, LSTM/GRU, RNNs.
  • Must have experience in at least one of the deep learning frameworks such as Pytorch, Tensorflow, Keras, etc.
  • Must have very good experience in Python programming (C++ programming is a plus).
About DEKA:
One hour from the beach, Boston, and the mountains, the historic Amoskeag Millyard once housed the largest textile mills in the world. It is now home to DEKA Research & Development, where we are taking the same innovation and cutting-edge technology into the modern age.
Behind DEKA’s brick walls sits a team of professionals who strive to make a difference every day through thoughtful engineering, design, and manufacturing. Here at DEKA, some of the most innovative and life-changing products of our time are created, and new ideas are always welcome and explored.
Additional Information:
  • Applicants should be aware that short-term housing options in Manchester, NH are limited and that DEKA is not able to assist with housing.
Public transportation is available and routes/schedules can be found by visiting the Manchester Transit Authority website,
Please be aware that we try to make sure that our internship opportunities are well defined and will provide a unique experience. We understand that most candidates would like to know if they have a placement as soon as possible, but at DEKA it takes more time than other companies at we review every application that is submitted. We will try to let you know as soon as we can, but encourage you to pursue other opportunities as well.
  • A full time student is defined as being enrolled in a minimum of 12 credits per semester at an undergraduate program, or a minimum of 9 credits per semester for a graduate program.