דרושים Aws Sales Intern Amazon University Talent Acquisition ב-אמזון ב-Brazil, São Paulo

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.We’re 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.Key job 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
• Provide customer and market feedback to product and engineering teams to help define product direction
About the team
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.Why AWSMentorship 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.Work/Life Balance

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and 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

职位：智能设备团队SDE实习 - 正式批· 毕业时间：2025年10月 - 2026年9月之间毕业的应届毕业生
· 入职日期：2025年6月及之前。
· 实习时间：保证一周实习4-5天全职实习，至少持续3个月
· 工作地点：北京朝阳区酒仙桥路恒通商务园区
投递须知：
1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！
2 学校的英文全称请准确填写。
为了服务亚⻢逊的客户，我们正在寻找顶尖的技术人才进行创新。顾客至尚的理念使我们成为 全球最受欢迎的品牌之一，这一观念已成为我们公司DNA的一部分。我们的软件开发工程师(Software Development Engineer)擅⻓运用尖端技术来解决复杂的问题，影响着数以亿计的用户，并亲眼目睹其工作对世界产生的影响。
作为SDE在亚⻢逊需要面对巨大的技术挑战，能否解决这些挑战将影响全球的数百万的买家，卖 家和产品。我们正在寻找对从头开始研发新产品，新功能，新服务充满热情的年轻人。公司的开发周期迅速，通常以周计算，而不是年。Key job responsibilities
任职要求：
· 计算机，电子通信，自动化等相关专业;
· 熟悉Linux环境和嵌入式开发，熟练使用c/c++或其他编程语言;
· 有较强的软件调试和独立解决问题的能力;
· 求知欲强, 有快速学习新领域的能力;

- 如有任何问题，请邮件至：cn-campus-sde@amazon.com，邮件标题请标注 Devices+姓名+学校+毕业年份，举例Devices+张三+北邮+2026年 亚马逊致力于打造多元化和包容性的工作场所。亚马逊是一家机会均等的雇主，不因种族、国籍、性别、性别身份、性取向、残疾、年龄或其他受法律保护的身份而歧视。如有残疾人士需要口译员或任何现场支持，请通知我们的团队。

Key job responsibilities
Strategic customer engagement:Adoption program development:Track and analyze adoption metrics to measure effectiveness and identify areas for continuous improvement.Product feedback loop:Collect and communicate customer feedback, insights, and requirements directly to AWS Go-To-Market and product teams.
Diverse ExperiencesAmazon 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 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.

- 5+ 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
- 2+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- Bachelor's degree in science, technology, engineering, math, business or equivalent
- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams

- PMP certification, or SCRUM/Agile, SAFe certification
- Experience implementing cloud services including migrations and modernization projects or similar

This position requires strong leadership, deep customer focus, strong autonomy and exceptional project management skills. It will involve regular communication with executors and project sponsors at both the country and WW level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition.This role will be based out of Brazil and involves regular travel within the country as well as occasional international travel.Key job responsibilities
- Lead Automation initiatives (autosorters)- Support the preparation of specifications and technical detail to fully define the requirements on building environment, equipment, material, process and services;
- Review all technical documentation such as Buildings layouts, traffic plans, flow diagrams, conveyor and equipment layouts, installation details, schedules and budgets to ensure that they meet requirements;
- Active involvement in cross functional infrastructure projects, provide technical input and conduct value engineering/ value analysis;

- Bachelor's degree;
- Experience with Autocad or another drawing software;
- Fluent English Proficiency.

As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers.Key job responsibilities- You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty.
- You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones.- You set standards and proactively drive components to use and improve on state-of-the-art techniques.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with prompting techniques for LLMs

- 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.
- PhD in math/statistics/engineering or other equivalent quantitative discipline
- Experience with conducting research in a corporate setting
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Why This Role* Deep technical expertise (still hands-on)
* Scalable mechanism design (programs, frameworks, enablement)
* Startup empathy (credible in front of developers and co-founders)
* AI/data native perspective (helping startups turn data into their moat)This role offers the chance to shape how AWS engages startups at scale — while working at the frontier of cloud + data + AI innovation.
Key job responsibilities
Technical Leadership & Mechanism Building* Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
* Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
* Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
* Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities.Principal SAs for Startups should have depth and expertise in one of the following technical domains, but the technical curiosity to become proficient in all:* ML/AI Infrastructure:
* Architect training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization).
* Design end-to-end ML pipelines and MLOps workflows (data prep, labeling, model registry, deployment).
* Build and optimize model serving architectures and inference systems for cost and latency.
* Cloud Native & Kubernetes:
* Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures.
* Ensure security, compliance, and observability in containerized workloads.
* DevOps & Reliability:
* Drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), and automated testing frameworks.
* Apply SRE best practices: monitoring, incident management, resilience, and scaling patterns.
* Data Strategy & Foundations:
* Advise startups on proprietary data strategy as a moat: collection, quality, labeling, governance.
* Architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with modern analytics platforms (Snowflake, Redshift, BigQuery, Databricks).
* Guide adoption of feature stores, vector databases, and lakehouse patterns to enable ML/RAG use cases.
* Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).* Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
* Translate insights into actionable guidance for startups and scalable mechanisms for the org.
* Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.Scaling & Developer Enablement* Build repeatable solutions and reference architectures addressing common startup pain points.
* Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
* Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance.About the team
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.
Why AWSWork/Life BalanceInclusive Team CultureMentorship 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.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Technical expertise in multiple domains including ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy, with advanced proficiency in languages like Python, Go, TypeScript, and Java.
- Demonstrated track record of scaling technical impact through building enablement programs, mentoring teams, and establishing best practices that transform individual expertise into organizational capabilities.
- Technical leadership credentials including creating technical content, contributing to open-source projects, delivering thought leadership, and effectively communicating with audiences from engineers to C-suite executives.
- Comprehensive understanding of modern AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) combined with expertise in cloud-native security, compliance, and observability frameworks to build production-grade systems.

- Experience building, deploying, and operating systems and infrastructure at hyperscale.
- Contributions to open-source or developer communities.
- A portfolio of technical publications, talks, or thought leadership.
- The credibility to pair-program with a founder one day, then brief a C-suite on trends the next.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
• Analyze air cargo traffic patterns to optimize the network
• Collaborate with cross-functional teams to implement data-driven improvements
• Develop automated dashboards and reports for stakeholders
• Use mathematical models and heuristics to solve Air network planning problems
• Work on awareness and education to increase adoption of current internal GenAI tools (Amazon Q, Cedric, PartyRock, AgentZ)
• Develop personas/agents/apps/tools using Bedrock and other AI and automation tools (Amazon Q, Cedric, PartyRock, AgentZ) to develop AI-driven productivity increase initiatives
A day in the life
• Start the day by reviewing operational KPIs and analyzing anomalies
• Meet with operations teams to understand needs and challenges
• Develop and refine analytical models
• Run network optimization models and interpret its results
• Engage with and support the Air teams by identifying manual processes and automate them to streamline operations through AI
• Present insights and recommendations to leadership

- • Bachelor's degree in engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- • Experience in scripting automation (e.g. Python) and advanced SQL skills
- • Experience with building ETL pipelines and cleaning large (multi-TB) data sets
- • Experience with data visualization using Tableau, Quicksight, or similar tools
- • Knowledge of applied optimization methods, specially mixed-integer programming and network flows
- • Knowledge of GenAI integration into daily processes using personas/agents/apps/tools

- • Prior experience in the logistics/aviation industry
- • Knowledge of operations optimization
- • Experience with AWS or similar solutions such as EC2, DynamoDB, S3, and Redshift
- • Experience with real-time data processing