דרושים Director Sponsored Products Detail Page Experience ב-אמזון ב-United States, Palo Alto

About Sponsored Products and BrandsKey job responsibilities
As a Software Development Engineer in Machine Learning, you will:
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
* Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 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

About Sponsored Products and BrandsKey job responsibilities
As a Software Development Engineer in Machine Learning, you will:
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
* Partner with Applied Scientists to productionize and scale end-to-end generative AI solutions, optimizing model performance and inference infrastructure.

- 1+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 2+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Demonstrated track record of successfully implementing GenAI solutions in production environments, including model deployment, monitoring, and continuous improvement.

About Sponsored Products and BrandsKey job responsibilities
As an Applied Science Manager, you will:* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
* Develop science and engineering roadmaps for SPB ads CTR prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
* Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
* Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers.Key job responsibilities
- Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand.- You are a role model and help grow other scientists in the organization.- You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls.- You have 10+ years of research experience after a PhD degree.

- PhD or equivalent in Computer science/Math or related field.
- Experience in building complex, real-time systems using GenAI, with successful delivery to customers.
- Computer Science fundamentals in data structures, algorithm design and complexity analysis.
- Ability to develop machine learning platform strategy in the domain of recommender systems.
- Ability to develop a GenAI strategy for recommender systems.

10+ years of relevant, broad research experience after PhD degree or equivalent.
Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput.
Proficiency in programming for algorithm and code reviews.
Strong core competency in mathematics and statistics.
Track record of successful projects in algorithm design and product development.
Publications at top-tier peer-reviewed conferences or journals.
Experience with mentorship and/or management of senior scientists and engineers.
Effective verbal and written communication skills with non-technical and technical audiences.
Experience working with real-world data sets and building scalable models from big data.
Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.

About Sponsored Products and Brands
Key job responsibilities
As a Sr Applied Scientist, you will:* Develop scalable and effective machine learning models and optimization strategies to solve business problems.
* Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.

- 3+ 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
- Experience programming in Java, C++, Python or related language

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

Key job responsibilities
As a Sr. Applied Science Manager, you will:* Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.* Define and deliver the science and engineering roadmap for shopping session understanding, translating business goals into agentic strategies and driving integration of Session Agent capabilities into advertising applications.* Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.* Stay current on research advances, industry trends, and system architectures relevant to agentic AI and session understanding for SPB’s advertising business.

* M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline* Experience in managing a team of both applied scientists and engineers as a tech lead or manager for at least 3 years* Experience in building large-scale machine learning and AI solutions at Internet scale for at least 3 years

* Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.* Experience developing and deploying Agentic AI or Generative AI (GenAI) solutions* The ability to communicate complex technical concepts and solutions to all levels of the organization* Experience in computational advertising

Key job responsibilities
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:- Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.- Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.- Write high-quality, maintainable code and participate in design and code reviews.
- Drive operational excellence through monitoring, automation, and continuous improvement.A day in the life

- 3+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)
- 3+ years of distributed systems experience

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
- Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
- Experience with AWS services or other cloud offerings
- Experience with end-to-end ownership of major project deliverables