Job Description

• Develop and deploy computer vision algorithms in Linux GPU environment
• Improve efficiency with human in the loop
• Integration with web services
• Work with team members to solve the challenges in data annotation

Qualifications

Minimum qualifications:

• Currently pursuing master degree in related fields (computer vision, machine learning, signal processing)
• Strong programming skills: Python, C++
• Experience with deep learning packages: Tensorflow, Caffe, Keras
• Familiar with Linux

Preferred qualifications:

• Currently pursuing Ph.D. with research and publication experience
• Experience with large scale datasets for autonomous driving: KITTI, Caltech Pedestrian benchmark
• Ability to work independently
• Excellent communication skills

Additional Information

Duration (flexible):

• 4 months of part-time or full-time Spring 2019 internship, OR
• 3 months of summer internship

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World in Motion)