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Draper Deep Learning Research Graduate Summer Intern in Cambridge, Massachusetts

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 1,800 employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

Equal Employment Opportunity

Draper is committed to creating a diverse environment and is proud to be an affirmative action and equal opportunity employer. We understand the value of diversity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

Draper is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.

We are seeking a student summer intern to work on a program to develop methods for safe, explainable, and competency-aware deep reinforcement learning, with particular focus on applications in robotics and autonomous vehicles. The student will work closely with our research team at Draper and university collaborators. The student is expected to be able to read and understand the relevant academic literature, be organized and self-motivated, work well within a diverse team, and effectively communicate their ideas. The student will be able to shape their own research direction under the mentorship of the team and, if successful, have the opportunity to publish their research.

Required Qualifications:

  • Students should be pursuing an M.S. or PhD in Computer Science, Robotics, Aerospace Engineering, or related technical fields.

  • Students must have experience with Python, numpy, and PyTorch (or other deep learning library)

  • Strong statistics and machine learning knowledge

  • Good understanding of deep learning and reinforcement learning

Preferred Qualifications:

  • Prefer candidates with strong collaboration skills, and strong presentation skills

  • Preferred candidate should have a broad understanding of technical issues surrounding autonomy implementation in unmanned systems, e.g. operational environments, expected sensor performance, autonomy requirements & analysis, mission design & path planning, real-time software development, computational constraints, etc.

  • Robotics coursework and/or experience

  • C++ experience

  • Experience with Linux, ROS, Gazebo, or PyBullet

ID: 2021-5144

External Company Name: The Charles Stark Draper Laboratory Inc

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