Amazon
Senior Deep Learning Architect, Model Customization, Generative AI Innovation Ce
Amazon, Seattle, Washington, us, 98127
Overview
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Were looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Responsibilities Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder audiences Provide customer and market feedback to product and engineering teams to help define product direction
Base pay
Base pay range: $138,200.00/yr - $239,000.00/yr Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent 5+ years experience in designing, building, and/or operating cloud solutions in a production environment 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) 4+ years of hands on experience with Python to build, train, and evaluate models 4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field 3+ years experience working with deep learning, machine learning, generative AI, or statistics Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience building cloud solutions with AWS
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 our accommodations page for more information. If the country/region youre applying in isnt 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 $138,200/year in our lowest geographic market up to $239,000/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. Job location: Seattle, WA #J-18808-Ljbffr
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Were looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Responsibilities Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder audiences Provide customer and market feedback to product and engineering teams to help define product direction
Base pay
Base pay range: $138,200.00/yr - $239,000.00/yr Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent 5+ years experience in designing, building, and/or operating cloud solutions in a production environment 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) 4+ years of hands on experience with Python to build, train, and evaluate models 4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field 3+ years experience working with deep learning, machine learning, generative AI, or statistics Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience building cloud solutions with AWS
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 our accommodations page for more information. If the country/region youre applying in isnt 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 $138,200/year in our lowest geographic market up to $239,000/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. Job location: Seattle, WA #J-18808-Ljbffr