Applied Scientist, Ring AI - Cambridge, United Kingdom - Evi Technologies Limited

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.

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.

• Participate in the design, development, evaluation, deployment and updating of datadriven models for embedded computer vision applications.
• Research and implement the stateoftheart computer vision and sensor fusion algorithms for resourceconstrained 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.

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Experience in deep learning models architecture design, training, optimization (e.g., pruning, quantization)
• Experience programming in C++, Python or related language

• Proven track record of innovation in creating novel algorithms and advancing the stateoftheart
• Experienced in prototyping, designing, implementing and deploying computer vision applications and tools
• Experience in Vision Language Models and LLMs
• Effective verbal and written communication skills with nontechnical and technical audiences.
• Exhibits excellent business judgment; balances business, product, and technology very well.