Ring is looking for a Senior Applied Science Manager to lead the development of computer vision algorithm on the Edge. In this role, you will be the leader of our passionate, talented, and inventive scientists, to develop industry-leading Computer Vision (CV), Multimodal, and AI and drive them successfully to production for the benefit of millions of Amazon Devices users.

This is a unique, high visibility opportunity for a leader who wants to have business impact, and dive deep into computer vision problems. We are particularly interested in candidates with experience productizing edge-based computer vision systems.


Key job responsibilities

As a Senior Manager, Applied Science, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed.

The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies.

BASIC QUALIFICATIONS

- MS/PhD degree in Computer Vision, Machine Learning, or related areas.
- Proven track record of shipping computer vision systems
- 10+ years of working experience on computer vision systems in industry
- 3+ years of managing experience of scientists
- Excellent business writing, verbal communication, and cross discipline collaboration skills

PREFERRED QUALIFICATIONS

- Experience in working with both cloud-based and edge-based computer vision algorithms
- Experience managing software development engineers
- Experience optimizing for short term execution while planning for long term technical capabilities. Ability and willingness to multi-task and learn new technologies quickly.
- 2+ years of hands-on experience as a senior-level scientist

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.