דרושים Applied Scientist Sponsored Products Ads Response Prediction ב-אמזון ב-United States, Arlington

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 Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement 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
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction

- 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
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 7+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Have peer-reviewed scientific contributions in premier journals and conferences
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.

Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.We are looking for a Skilled, qualified and experienced leader in security assurance, with experience in automating security controls per compliance requirements.
You are someone who loves working across many stakeholders to design solutions for complex compliance challenges. You will be a be part of a growing team that analyzes and implements Kuiper security controls
You will have an opportunity to work across the entire Kuiper organization implementing and managing various security controls along side of Kuiper Security. Kuiper security owns policy and definition of controls, this role owns the coordination, development, implementation, and change management of controls as well as managing defects and improvements.Key job responsibilities
* Responding to security incidents, and coordinating a cohesive response involving multiple teams across Kuiper
* Providing security engineering solutions and support during customer-facing incidents, proactively considering the prevention of similar incidents from occurring in the future.
* Assisting in the development of pragmatic solutions that achieve business requirements while maintaining an acceptable level of risk.* Working alongside Security Engineers to improve security, and to reduce and quickly address risk.
* Evaluating the impact of current security trends, advisories, publications, and coordinating response as necessary across affected teams.
* Keeping your knowledge and skills current with the rapidly changing threat landscape.
* 24/7 on-call responsibilities on rotation.

- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
- 2+ years of scripting, programming, and security code review in a common programming language (non-internship) experience
- 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience
- Bachelor's degree in computer science or equivalent
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- Knowledge of industry-based security vulnerabilities and remediation techniques
- Experience in scripting, programming, and security code reviewing in a common programming language (non-internship)
- Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)

- 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
- 2+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience
- Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
- Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP
- Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
- Experience with AWS products and services
- Experience with programming languages such as Python, Java, C++
- Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++
- Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing

Key job responsibilities
The Applied Scientist II will contribute to the development of AI systems. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a training and certification product level. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with product and engineering leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.
Diverse Experiences
AWS 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 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

- 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

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
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Help customers develop scalable, secure and effective agentic workflows
• Provide customer and market feedback to product and engineering teams to help define product direction

- 5+ years of building machine learning models or developing algorithms for business application experience
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 2+ years demonstrated experience working with Foundational Models.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals

Key job responsibilities
The Applied Scientist II will contribute to the development of AI systems. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a training and certification product level. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with product and engineering leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.Why AWS
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 Balance
Mentorship 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.

- 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 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.In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale modern solutions for never-before-solved problems.Key job responsibilities
As a Senior Data Scientist, you will-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 AWS
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.

- Experience with statistical models e.g. multinomial logistic regression
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 5+ years of data scientist experience
- 10 years Media and Entertainment Experience

Key job responsibilities
Tackle tax technology challenges with scalable solutions delivered in a quick-and-nimble fashionHelp define requirements, design, build and rollout solutions.Work with multiple stakeholders and manage the complexity of competing needs and timelines.Understand the solutions we have today, applying them where appropriate and inventing new capabilities when needed.Own particular processes and/or parts of our technology toolset, providing subject matter expertise and mentorship

- 3+ years of non-internship professional software development 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

- 3+ 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