Phiar

We are developing a revolutionary AI-powered augmented reality navigation software solution for driving, that works as a smartphone app as well as in-vehicle displays.

Machine Learning & Computer Vision Internship

Location
 
Redwood City
Job Type
 
Internship
Experience
 

Skills: C++, ML, Python

Machine Learning & Computer Vision Intern

Job Type: Internship - Spring or Summer 2020

Employer: Phiar Technologies, Inc.

Location: Redwood City, CA

Link: http://www.phiar.net

Contact: [email protected]

Who We Are

We are developing the world’s first AI-powered AR navigation platform for drivers, using our ultra-efficient deep learning road-understanding AI. We are a group of dedicated professionals formed out of Harvard and the Harvard Innovation Labs in 2017, bringing expertise in deep learning, computer vision, software optimization, and UX design. We are backed by multiple tier-1 mega VCs and Y Combinator (TechCrunch feature: https://tcrn.ch/2TQHATu). Now is the perfect time to join our core team and revolutionize how billions of people perceive and navigate the world!

Who You Are

We are seeking a promising machine learning and computer vision intern to join our team in Spring or Summer 2020. The candidate should have experience with classical and deep learning computer vision techniques in object recognition, semantic segmentation, or 3D geometry. Knowledge and experience in statistical machine learning and optimization is a plus. The ideal candidate should also be a versatile software hacker and an excellent problem solver.

Qualifications

BS, MS, or PhD in Computer Science or other related field, with a focus in Computer Vision

Familiar with OpenCV, and able to write clean code in Python and/or C/C++ with it

Working knowledge in one of the popular deep learning frameworks (i.e. Torch, PyTorch, Keras, Caffe/Caffe2, Tensorflow)

Proficient in ono of the following topics

Object detection and localization

Object tracking

Semantic segmentation and image segmentation

SVM, random forests, ensemble models, clustering, boosting, and other non-deep learning ML methods

Sampling methods, optimization, graphical models, and statistical machine learning

Bonus Points

Published in peer-reviewed papers in the following top-tier venues: CVPR, ICCV, ECCV, ICLR, NIPS, PAMI

Experience working with CUDA, OpenGL, and/or OpenCL

Join Us!

Phiar is a leading AI and AR company with industry leading on-device mobile deep learning AI technologies. Or a full-time position, we offer competitive salaries, company stock options, company sponsored medical/dental/vision/chiro/life benefits, commuter benefits, unlimited PTO, and we sponsor H1-B visas. We are a group of passionate and fun loving people. Join us to build something amazing and let’s change the world together!

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