Applied Scientist, Ring AI jobs in United States
cer-icon
Apply on Employer Site
company-logo

Ring · 7 hours ago

Applied Scientist, Ring AI

Ring is a company focused on improving the lives of millions through innovative technology. They are seeking a passionate Applied Scientist in the computer vision area to develop optimized algorithms and collaborate with various teams to enhance machine learning applications for their devices.

Consumer ElectronicsSecuritySmart Home

Responsibilities

Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications
Research and implement the state-of-the-art computer vision and Vision Language models algorithms
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

Qualification

Computer VisionMachine LearningDeep Learning AlgorithmsJavaC++PythonVision Language ModelsBusiness JudgmentEffective Communication

Required

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in building models for business application
Experience programming in Java, C++, Python or related language
Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Preferred

Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art
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 non-technical and technical audiences
Exhibits excellent business judgment; balances business, product, and technology very well

Benefits

Equity
Sign-on payments
Medical
Financial
Other benefits

Company

Ring is an outdoor home security that provides homeowners a line of preventative security doorbells and cameras.

Funding

Current Stage
Late Stage
Total Funding
$203.7M
Key Investors
Kleiner PerkinsTrue VenturesFirst Round Capital
2018-02-27Acquired
2017-01-25Series D· $109M
2016-03-16Series C· $61.2M

Leadership Team

D
David Squier
Director of Database Engineering
linkedin
Company data provided by crunchbase