(Sr.) Applied Scientist, Ring AI (Open to Middle Level to Tech Lead)

Are you fueled by a passion for computer vision, machine learning and GenAI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation.
You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and GenAI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!


About the team
- Apply your expertise in LLM/VLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
- Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
- Continuously explore and evaluate state-of-the-art CVML and GenAI techniques and methodologies to improve the accuracy and efficiency of language-related systems.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.

Basic Qualifications

- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- PhD, or Master's degree and 5+ years of solving business problems through machine learning, data mining and statistical algorithms experience

Preferred Qualifications

- Experience in building LLM/VLM based algorithms to resolve real customer problems.
- Expertise in Computer Vision, Object Classification, generative models, 3D vision, transformers, or other computer vision, LLMs or machine learning techniques.
- Experience in large data analysis.
- Solid knowledge of statistics and probability.
- Experience working in a fast paced, highly collaborative, dynamic work environment.

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