Amazon
Sr. Applied Scientist, Consumer Electronics Technology
Amazon, Seattle, Washington, us, 98127
DESCRIPTION
Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on projects that directly impact millions of customers, and selling partners every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic's Claude / Mistral, among others.
The types of initiatives you can expect to work on include: Developing personalized recommendation systems that help customers find the right CE products for their needs. Creating high quality educational content leveraging complex AI techniques to simplify complex product information. Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale.
This Sr. Applied Scientist is also expected to play a key role in raising the AI/ML skillset within the organization, so a passion for teaching/mentoring is important. This involves bringing deep AI/ML expertise to collaborations with other scientists, leading lunch & learn sessions, conducting tech talks, setting up regular office hours, evangelizing lessons learned & industry best practices, and more. The ideal candidate is one who possesses notable pedigree in ML-related academic work, along with deep, real-world, hands-on experience in executing/shipping AI-based products in a fast-paced setting. You will be looked up to as an ML expert that our organization's leadership can rely on for guidance on AI/ML topics.
Key job responsibilities Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, both within Consumer Electronics and more broadly across the Stores organization. Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure. Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech. Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement. Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency. Mentor other scientists, especially on AI/ML initiatives, and foster a culture of learning & collaboration. Provide thought leadership and hands-on support in selecting, defining, training and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.
BASIC QUALIFICATIONS 5+ years of building machine learning models for business application experience. PhD, or Master's degree and 6+ years of applied research experience. Experience with neural deep learning methods and machine learning.
PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability. Experience with popular deep learning frameworks such as MxNet and Tensor Flow. Experience synthesizing and presenting technical concepts to Tech Director-level leadership.
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. #J-18808-Ljbffr
Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on projects that directly impact millions of customers, and selling partners every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic's Claude / Mistral, among others.
The types of initiatives you can expect to work on include: Developing personalized recommendation systems that help customers find the right CE products for their needs. Creating high quality educational content leveraging complex AI techniques to simplify complex product information. Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale.
This Sr. Applied Scientist is also expected to play a key role in raising the AI/ML skillset within the organization, so a passion for teaching/mentoring is important. This involves bringing deep AI/ML expertise to collaborations with other scientists, leading lunch & learn sessions, conducting tech talks, setting up regular office hours, evangelizing lessons learned & industry best practices, and more. The ideal candidate is one who possesses notable pedigree in ML-related academic work, along with deep, real-world, hands-on experience in executing/shipping AI-based products in a fast-paced setting. You will be looked up to as an ML expert that our organization's leadership can rely on for guidance on AI/ML topics.
Key job responsibilities Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, both within Consumer Electronics and more broadly across the Stores organization. Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure. Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech. Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement. Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency. Mentor other scientists, especially on AI/ML initiatives, and foster a culture of learning & collaboration. Provide thought leadership and hands-on support in selecting, defining, training and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.
BASIC QUALIFICATIONS 5+ years of building machine learning models for business application experience. PhD, or Master's degree and 6+ years of applied research experience. Experience with neural deep learning methods and machine learning.
PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability. Experience with popular deep learning frameworks such as MxNet and Tensor Flow. Experience synthesizing and presenting technical concepts to Tech Director-level leadership.
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. #J-18808-Ljbffr