Seller Experience Mp Coe jobs at Amazon in United States, Seattle

Key job responsibilities
You are encouraged to think big, invent and take ownership on customer challenges. You will not only bring the best of AWS/ Amazon to our customers, you will proactively help solve the customer’s challenges through new ideas, tools and mechanisms.
Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience
- Bachelor's degree in Computer Science, Engineering, Math, Operations Research, or a related field
- Knowledge of distributed applications and the engineering lifecycle from conception to delivery
- Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
- Experience in large-scale IT deployment or programming

We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics.Key job responsibilities- Lead the end-to-end development of a domain specific LLM.
- Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets.
- Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.

- Strong communication skills with ability to translate complex technical concepts to various audiences
- Experience with LLM development, including pre-training, fine-tuning, and reinforcement learning
- Knowledge of search, ranking, or recommendation systems
- Experience with multi-modal ML systems combining text, image, and structured data

As a part of our team, you will bring deep expertise in Generative AI and quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will contribute to chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long-term problems.Key job responsibilities- Run regular A/B experiments, gather data, and perform statistical analysis
- Work closely with software engineers to deliver end-to-end solutions into production
- Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
- Design and engineer comprehensive security systems incorporating access control, video surveillance, intrusion detection, and related technologies
- Collaborate with data center architectural and engineering teams to integrate security requirements into facility designs
- Develop technical specifications and build plans for security system implementations
- Partner with regional and local physical security leaders to align security solutions with facility requirements
- Lead complex system integration projects involving multiple internal and external stakeholders
- Evaluate new security technologies and recommend solutions that enhance facility protection
- Create detailed technical documentation for security systems and configurations
- Ensure compliance with industry standards and organizational security policiesA day in the life
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree in Engineering, Computer Science, Physical Security or related technical field
- 8+ years experience in security systems, integration, hardware development engineering or similar role
- 3+ year experience in IP networking, including TCP/IP protocols and network architecture related to physical security systems
- 3+ years experience in experience with enterprise security systems (Access Control, Video Management, Intrusion Detection, Mass Notification)
- 3+ years experience with security industry standards and best practices (NIST, ISO, ONVIF)

- Master's degree in relevant field
- Professional security certifications (PSP, CPP, CISSP)
- Experience with data center or critical infrastructure security
- Knowledge of building management systems and integration protocols
- Experience in AutoCAD or similar design software
- Familiarity with cloud security architectures
- Experience with API integration and secure programming concepts

The Role
As a Process Engineer, you will be responsible for analyzing operational processes to design, development, test, launch and continuous improve high quality self-service software products called Paramount workflows. In this role you will partner with the greater PSAS organization to understand their business models and generate technical requirements supported by program technology. You will work cross-functionally with product managers, software engineers, business analysts and program managers on medium to large scale projects. In addition, you will develop ownership of process engineering processes to improve the product development lifecycle of Paramount workflows.Key job responsibilities
· Engage with program and business stakeholders to document requirements, create functional specifications and generate process maps (BPMN)
· Design, develop, test, launch and improve Amazon Selling Partner self-service software products (Paramount workflows)· Engage with software development teams to understand and guide evolving program technology
· Author content in various markup languages (Mustache(5), Markdown, HTML, CSS)
· Understand and leverage Amazon technology and services
· Deep dive technical product or operational issues to propose and implement simple and effective solutions

Master’s degree in related field (technical or MBA)
Ability to learn and adopt new technologies quickly

Key job responsibilities- Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.- Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.
- Research and implement novel machine learning and statistical approaches.
- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of applied research experience
- 4+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- 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 in model evaluation and benchmarking for Generative AI applications.

Key job responsibilities- Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Research and implement novel machine learning and statistical approaches.
- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression