Description
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
Alexa Smart Home team is looking for a motivated Software Development Engineer to work on development of machine learning / computer vision cloud service and ML backed React Native based apps for Alexa app in iOS, Android and Alexa Echo family devices like Echo Show, FireTV, IVI devices etc. In this role, you will work with our passionate, talented, and inventive software development engineers and scientists, business leaders, and other talented engineering teams to develop industry-leading machine learning / computer vision (CV) technologies, services, and drive them successfully to production for the benefit of millions of Amazon and Ring Devices users.
The team, part of Amazon Lab126, designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create?
Our office headquarters is in Sunnyvale, California and houses our Amazon Devices Hardware, Software, and Operations teams, with partner teams in Austin, Seattle, and Bangalore. This position is for Bangalore only.
Key job responsibilities
You will be part of a passionate team whose missions is to push the frontier of machine learning / computer vision technology into the smart home application area. You'll have opportunity to design, develop and ship products with deep learning and LLM backed on-device and cloud solutions supported by Swift, Kotlin, Java, React-Native, CoreML, Tensorflow etc. tech stack.
In this role, you will drive the technical direction of our on device and cloud software with multiple cross-functional teams. You will work closely with applied scientists to design and implement end-to-end solutions for high throughput and low latency systems, optimize the performance of machine learning / computer vision models and infrastructure. You should have extremely high standards, enjoy being in a team on the upcoming tech of science, enjoy (or look forward to) building distributed systems, and be at home engineering solutions for customers in the face of ambiguity.
A day in the life
You will drive the technical direction of our on cloud software, working on many different technologies with multiple cross-functional teams. You will work closely with applied scientists to design and implement end-to-end solutions and optimize the performance of machine learning / computer vision models and infrastructure.
About the team
Amazon Lab126 is an inventive San Francisco Bay Area research and development team that designs and engineers high-profile consumer electronic devices. We design and engineer devices like Fire tablets, Kindle e-readers, Amazon Fire TV, Amazon Echo, and more. This team engineers devices with the same spirit that fueled the inventors. https://amazon.jobs/en/teams/lab126/
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
Alexa Smart Home team is looking for a motivated Software Development Engineer to work on development of machine learning / computer vision cloud service and ML backed React Native based apps for Alexa app in iOS, Android and Alexa Echo family devices like Echo Show, FireTV, IVI devices etc. In this role, you will work with our passionate, talented, and inventive software development engineers and scientists, business leaders, and other talented engineering teams to develop industry-leading machine learning / computer vision (CV) technologies, services, and drive them successfully to production for the benefit of millions of Amazon and Ring Devices users.
The team, part of Amazon Lab126, designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create?
Our office headquarters is in Sunnyvale, California and houses our Amazon Devices Hardware, Software, and Operations teams, with partner teams in Austin, Seattle, and Bangalore. This position is for Bangalore only.
Key job responsibilities
You will be part of a passionate team whose missions is to push the frontier of machine learning / computer vision technology into the smart home application area. You'll have opportunity to design, develop and ship products with deep learning and LLM backed on-device and cloud solutions supported by Swift, Kotlin, Java, React-Native, CoreML, Tensorflow etc. tech stack.
In this role, you will drive the technical direction of our on device and cloud software with multiple cross-functional teams. You will work closely with applied scientists to design and implement end-to-end solutions for high throughput and low latency systems, optimize the performance of machine learning / computer vision models and infrastructure. You should have extremely high standards, enjoy being in a team on the upcoming tech of science, enjoy (or look forward to) building distributed systems, and be at home engineering solutions for customers in the face of ambiguity.
A day in the life
You will drive the technical direction of our on cloud software, working on many different technologies with multiple cross-functional teams. You will work closely with applied scientists to design and implement end-to-end solutions and optimize the performance of machine learning / computer vision models and infrastructure.
About the team
Amazon Lab126 is an inventive San Francisco Bay Area research and development team that designs and engineers high-profile consumer electronic devices. We design and engineer devices like Fire tablets, Kindle e-readers, Amazon Fire TV, Amazon Echo, and more. This team engineers devices with the same spirit that fueled the inventors. https://amazon.jobs/en/teams/lab126/
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