Applied Science Manager - Edge AI, Alexa Edge AI
Apply NowCompany: Amazon
Location: Sunnyvale, CA 94087
Description:
The Alexa Edge AI team under Alexa Ambient Computing Tech Organization is looking for an Applied Science manager with strong leadership skills
and AI expertise. In this role you will lead a group of talented Applied Scientists to develop industry-leading technology with computer vision and multimodal perception models for various edge applications.
This is a an opportunity for a leader to have direct business impact while delivering production worthy AI solutions to millions of customers. We are particularly interested in candidates with leadership experience in productizing edge-based AI systems.
Key job responsibilities
As an Applied Science manager, you will bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into scalable solutions. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility.
You tackle intrinsically hard problems while constantly learning to acquire skills and expertise as needed.
The ideal candidate is a strong, creative and highly-motivated leader with hands-on experience in managing teams while driving CVML / AI initiatives.
You will use your technical acumen to resolve product ambiguities and lend clarity to the solution space. In this role, you will anticipate technical / schedule risks within projects and mitigate them with proactive measures to deliver high quality solutions on time.
You will be an excellent mentor to your team members while motivating, rewarding, and coaching them towards their career goals. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
As a manager you will leverage your crisp communication skills and collaborative attitude to build trust with our cross functional partners within various organizations.
About the team
The Alexa Edge AI team has a mission to deliver best in class, resource efficient multimodal AI models in support of various perception (vision, audio and speech) based applications for devices like Echo Show series within Amazon.
BASIC QUALIFICATIONS
- MS/PhD degree in Computer Vision, Machine Learning, or related areas.
- Proven track record of shipping computer vision or other AI systems
- 6+ years of Applied research experience
- 3+ years of experience managing scientists
- Excellent communication, and collaboration skills
PREFERRED QUALIFICATIONS
- Experience building and shipping Computer Vision and Machine Learning solutions for the edge
- Experience with multimodal LLMs including vision language models
- Experience in the field of object detection, scene understanding and recognition applications
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 $165,500/year in our lowest geographic market up to $286,000/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.
and AI expertise. In this role you will lead a group of talented Applied Scientists to develop industry-leading technology with computer vision and multimodal perception models for various edge applications.
This is a an opportunity for a leader to have direct business impact while delivering production worthy AI solutions to millions of customers. We are particularly interested in candidates with leadership experience in productizing edge-based AI systems.
Key job responsibilities
As an Applied Science manager, you will bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into scalable solutions. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility.
You tackle intrinsically hard problems while constantly learning to acquire skills and expertise as needed.
The ideal candidate is a strong, creative and highly-motivated leader with hands-on experience in managing teams while driving CVML / AI initiatives.
You will use your technical acumen to resolve product ambiguities and lend clarity to the solution space. In this role, you will anticipate technical / schedule risks within projects and mitigate them with proactive measures to deliver high quality solutions on time.
You will be an excellent mentor to your team members while motivating, rewarding, and coaching them towards their career goals. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
As a manager you will leverage your crisp communication skills and collaborative attitude to build trust with our cross functional partners within various organizations.
About the team
The Alexa Edge AI team has a mission to deliver best in class, resource efficient multimodal AI models in support of various perception (vision, audio and speech) based applications for devices like Echo Show series within Amazon.
BASIC QUALIFICATIONS
- MS/PhD degree in Computer Vision, Machine Learning, or related areas.
- Proven track record of shipping computer vision or other AI systems
- 6+ years of Applied research experience
- 3+ years of experience managing scientists
- Excellent communication, and collaboration skills
PREFERRED QUALIFICATIONS
- Experience building and shipping Computer Vision and Machine Learning solutions for the edge
- Experience with multimodal LLMs including vision language models
- Experience in the field of object detection, scene understanding and recognition applications
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 $165,500/year in our lowest geographic market up to $286,000/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.