Applied Scientist - Edge CV, Ring AI

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique possibility to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer.

You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing efficient computer vision algorithms on resource-constrained computing platforms on edge. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.


Key job responsibilities

• Research and implement the state-of-the-art computer vision and sensor fusion algorithms for resource-constrained computing platforms on a large scale.
• Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices
• Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

BASIC QUALIFICATIONS

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language
• 2+ years of experience working on deep learning based computer vision algorithms and sensor fusion.
• 2+years of experience working on computer vision algorithms on edge devices.
• 2+ years in one of the following areas:
  • deep learning models architecture design, training, optimization and model pruning,
  • geometric based computer vision such as multi-view fusion/calibration,
  • developing multi-sensor fusion algorithms

PREFERRED QUALIFICATIONS

• Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art
• Experienced in prototyping, designing, implementing and deploying large-scale computer vision applications and tools
• Experience with Linux/embedded devices