Computer Vision/Deep Learning Intern

Key Skills

AI technology, Computer Vision (CV), Debugging, Deep Learning, Keras software library, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

The Computer Vision/Deep Learning Internship is an opportunity to learn the development of compact deep neural network solutions designed to run on Synaptics edge AI chips by working with computer vision and machine learning team. Our internship is designed for individuals who are currently enrolled at an accredited college/university and who will be continuing their studies in the fall. The internship will include exciting and challenging tasks that include designing novel data collection techniques and augmentation strategies, training neural network models for innovative edge AI applications and optimizing the models for deployment on our edge AI chips. The intern will have significant interactions with experts from the team, and exposure to the latest computer vision and machine learning techniques in the field of low-power edge AI.

Millions of people experience Synaptics every day. Our technology impacts how people see, hear, touch, and engage with a wide range of IoT applications -- at home, at work, in the car or on the go.

We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics and video processing, combined with world class software and silicon development.

The typical base pay range for this position is USD $50.00 - $55.00 per hour. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. Note that compensation listed in US role postings reflect the base salary only.

Responsibilities

Job Duties

• This is a great opportunity for anyone planning to begin career in computer vision and machine learning techniques in the field of low-power edge AI.
• Will have the opportunity to participate indeveloping optimized deep learning models based on the latest research in the field
• Design data collection, processing, and annotation techniques
• Run our neural network training and testing tools
• Analyze performance, debug code, and tune algorithms

Competencies

• Highly analytical, rigorous attention to detail, curious, self-starter
• Well organized with strong attention to detail; proactively ensures work is accurate and error-free
• Self-motivated and aptitude to learn quickly
• Positive attitude and work ethic; unafraid to ask questions and explore new ideas
• Excellent verbal and written communication skills; strong sense of professionalism
• Participating in a high-energy and dynamic company culture
• Team player

Qualifications

• Candidates should be seeking a Master’s or PhD in Computer science, Computer engineering or a relevant field
• 3+ years of experience in coding in Python, and debugging skills
• 2+ years of experience in using Keras/TensorFlow or PyTorch
• Experience and passion in computer vision and machine learning
• Able to work independently at times and dedicate a minimum of 20 hours/week
• Must be legally authorized to work in the United States without restriction
• Must be willing to submit to a background investigation, including verification of your employment and criminal history
• Must be 18 years of age or older