Overview

Job Title: AI Research and Development Intern
If interested, please send your resume to: hr@thinksense.com

Description: We are seeking exceptional and mission-oriented engineers in the field of AI/ML with interest in applications in healthcare. In this role, you will be expected to conduct novel research and develop cutting-edge technologies to automatically analyze patient data as electronic health records (EHR), and nonclinical data in mobile platforms.

Responsibilities:

·       Apply ML and DL techniques to real-world problems in healthcare applications

·       Explore and implement new AI/ML techniques

·       Advance machine learning technology by research which result in publication in top-tier venues and can be applied to the company’s product development

·       Work with designers, and other engineers to bring AI characters to life

·       Work closely with other members of the team to ensure robust and shippable code is created

·       Perform software development in C/C++, Python, and other languages

·       Identify requirements, scope solutions, estimate work, schedule deliverables

Qualifications:

·       Master’s degree or PhD in Computer Science/Electrical and Computer Engineering or related fields

·       Significant experience in machine learning techniques. Expertise with deep learning frameworks such as TensorFlow, PyTorch, and Keras

·       Strong mathematics skills, including proficiency with linear algebra

·       Excellent debugging and optimizing skills

·       Experience in Shell and Linux

·       Ability to read and review other developer’s code

·       Strong interpersonal and communication skills

·       Cross-team collaboration skills and strong passion to collaborate in a team of researchers and developers

·       Immediate start for an internship with the minimum duration of 3 months with the potential for further extension

Preferred:

·       Experience in the Smart Products & IoT area

·       Experience in applying statistical tools and machine learning to formulate and solve wireless/connectivity, sensing, IoT problems

·       Experience with Big Data/Data Pipelining technologies

·       Intellectual curiosity and passion about learning new technologies