Amazon
Sr. MLE, GenAI, Creative-X, Amazon Advertising, Creative-X
Amazon, Seattle, Washington, us, 98127
Overview
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, description) by building AI-driven solutions for advertisers. We are investing in latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related methods. You will be part of a close-knit team of applied scientists, product managers, other MLEs and stakeholders who are highly collaborative and at the top of their respective fields. We are looking for talented Machine Learning Engineers adept at deploying and productizing Generative AI models for advertising at scale. Every team member is expected to build advertiser-facing features, contribute to the collaborative spirit, productize, deploy at scale, and bring production-grade research to raise the bar within the team. Responsibilities
As a MLE in the team you will: work closely with Applied Scientists and other MLE and Engineering team members to transform research code into production. Own end-to-end deployment at scale of Generative and ML methods. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. Research new and innovative approaches to efficient model deployment and training. Document processes and methods for technical and non-technical audiences. Contribute to code reviews. Mentor and help recruit MLEs to the team. Present outcomes and explain approaches to senior leadership. Basic Qualifications
5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications
5+ 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 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 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 $151,300/year in our lowest geographic market up to $261,500/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. Depending 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 ID:
A3033157 Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Science, and Engineering Industries
Software Development Referrals increase your chances of interviewing at Amazon by 2x
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Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, description) by building AI-driven solutions for advertisers. We are investing in latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related methods. You will be part of a close-knit team of applied scientists, product managers, other MLEs and stakeholders who are highly collaborative and at the top of their respective fields. We are looking for talented Machine Learning Engineers adept at deploying and productizing Generative AI models for advertising at scale. Every team member is expected to build advertiser-facing features, contribute to the collaborative spirit, productize, deploy at scale, and bring production-grade research to raise the bar within the team. Responsibilities
As a MLE in the team you will: work closely with Applied Scientists and other MLE and Engineering team members to transform research code into production. Own end-to-end deployment at scale of Generative and ML methods. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. Research new and innovative approaches to efficient model deployment and training. Document processes and methods for technical and non-technical audiences. Contribute to code reviews. Mentor and help recruit MLEs to the team. Present outcomes and explain approaches to senior leadership. Basic Qualifications
5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications
5+ 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 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 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 $151,300/year in our lowest geographic market up to $261,500/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. Depending 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 ID:
A3033157 Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Science, and Engineering Industries
Software Development Referrals increase your chances of interviewing at Amazon by 2x
#J-18808-Ljbffr