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Key job responsibilities
- Mentor less experienced Applied Scientists
- Engage in state-of-the-art and innovative research in areas such as Gen AI, model compression, and knowledge distillation
- Contribute to a novel and comprehensive training platform custom-tailored for preparing models for edge applications
- Invent optimization techniques to push the boundaries of deep learning model training
- Derive research approaches from first principles via knowledge of Information Theory, Statistics, Scientific Computing, and Deep Learning Theory
- Create and propose detailed theoretical specifications for novel research ideas and directions, and rigorously justify their correctness
- Train custom Gen AI models that beat the SOTA and paves path for developing production models
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in building machine learning models for business application
- 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
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Key job responsibilities
In this role you will:- Stay up-to-date with the latest technologies and adopt the most appropriate long-term solution to a variety of use cases.A day in the life
On a typical day you will:
- run experiments. Depending on the stage or project, this may involve designing the experiments, collecting data, training models, prompt/spec engineering/optimization, error analysis, online system analysis, etc.
- help drive decisions by interpreting and communicating experimental results with stakeholders (managers, subject matter experts, other scientists, and engineers) and seeking/listening to their feedback.Additionally, you'll attend and contribute to regular meetings, activities and conferences with the wider science team, organization as well as internal and external communities.
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience programming in Java, C++, Python or related language
- Experience in building models for business application
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
- Strong sense of ownership and drive
- Strong communication skills
- 1+ years of industry experience working in a fast-paced environment
- PhD
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
- Experience building AI solutions for business applications in multiple areas such as: search, NLP, data quality, recommender systems.
- Experience with in one or more of: Generative AI, LLM-as-judge, prompt optimization, agentic workflows, LLM interpretability.
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Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.
- Experience programming in Java, C++, Python or related language
- Speak, write, and read fluently in English
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
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As a System Development Engineer in SIG CI, you'll work in a dynamic environment where you'll not only develop tools but also help deploy, manage, and improve the systems that keep our security operations running smoothly. Through close collaboration with security teams and external partners, you'll help ensure the resilience and effectiveness of our security infrastructure.What you'll be working on:* Building and maintaining operational tools using React, JavaScript, and Python
* Managing and improving system integrations between internal and external security platforms
* Troubleshooting complex system issues across multiple technology stacks
* Creating automation solutions to enhance operational efficiency
* Implementing monitoring and alerting systems for security operations
* Developing documentation and operational procedures for security tools and systems* Work at the intersection of systems engineering, security, and software development* Learn and grow in a team that values continuous improvement
Key job responsibilities
Key job responsibilities* Monitor and maintain critical security systems and infrastructure
* Design and implement automation solutions for operational challenges
* Develop and maintain internal tools using React and Python
* Create and improve system integration workflows
* Perform root cause analysis on operational issues
* Build and maintain monitoring and alerting solutions
* Provide technical support and guidance to security operations teams who use our internally developed tools
* Create and maintain technical documentation
* 2+ years experience in systems engineering, DevOps, or similar technical roles
* Experience with Linux/Unix systems administration
* Proficiency in Python and JavaScript/React development
* Understanding of networking fundamentals and security concepts
* Experience with AWS services and cloud infrastructure
* Experience with monitoring tools and alerting systems
* Ability to troubleshoot complex system issues
* Knowledge of version control systems and CI/CD practices
* Strong problem-solving and analytical skills
* Knowledge of security tools and frameworks
* Background in operational support or SecOps
* Experience with infrastructure as code
* Experience with Agile methodologies
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As an Applied Scientist you will contribute to the design, development and improvement of AI/ML models and systems for different products. In this role, you will be expected to:
- Work with Applied Scientists, Data Scientists, ML Engineers and product partners to design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- 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
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AWS Infrastructure Services (AIS)
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.This role is available in Madrid, Zaragoza London, Frankfurt, and Dublin.Key job responsibilities
• You will manage design consultants, contractual drafting, develop and document requirements, budgets, and project schedules
• You will manage remote 3rd project delivery teams from design through to construction, and possess the ability to facilitate technical whiteboard sessions to troubleshoot project implementation issues, and remove barriers to project success.
• You will multitask and re-prioritize and effectively lead deliveries based on ever changing business needs
• You will build and maintaining overall delivery program and project budget, submitting Capital Allocation Requests to Senior leadership to secure finance for project delivery.
• You will prepare investment need/business case papers to secure internal funding for water reinforcement projects to secure water supply and discharges.A day in the life
• Liaison with a wide range of regulators and external stakeholders (Water utilities, environmental agencies, health department, construction contractors etc)
• You will leverage project management tools and techniques for all phases of the project lifecycle.
• Regularly report to senior leadership on status of key project metrics vs. commitment of your projects.
• Ensure construction standards are followed and national construction regulation are complied with.
• Create detailed planning packs to build scalable and future proof water infrastructure.
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.
• Bachelor’s Degree in Mechanical/Chemical/Civil Engineering/Economics/Business
• 10+ years’ combined work experience delivering water design infrastructure and engineering solutions for capital-intensive projects across diversified industries.
• Language fluency in Spanish and English
• 3+ years demonstrated experience with analytical and commercial skill set to review utility tariffs, water projects and contracts.
• 3+ years of experience managing project scope, business case and infrastructure requirements, develop contract and draft documentation, request for proposals, and capital requests.
• 7+ years of direct experience with the construction, operation, or maintenance of water infrastructure across different global regions.
• Advanced degree in Civil Engineering/Mechanical/Chemical/Environmental /Economics
• Experience with fast track design/build projects and or multiple significant upgrade projects and ability to work with multiple stakeholders with varied requirements.
• Analytical mindset that can identify gaps in requirements during project development, predict performance, and have the ability to provide recommendations on a short notice and with limited information.
• Business experience in Europe, LATAM and/or Middle East.
• 5+ demonstrated years of experience in program management, risk mitigation and reporting status reviews to management and internal customers.
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As a member of the team, you will play an active role in maintaining and optimizing our global infrastructure while driving automation initiatives. You'll work with AWS services, including EC2 and CloudWatch, managing monthly patching cycles and coordinating annual system updates on Amazon Operations' physical security infrastructure, including access control and video systems. Your focus will be on both operational stability and technological advancement through standardization and process improvement.Key job responsibilities
• Research, analyze and remediate security vulnerabilities through thorough testing and validation
• Manage AWS infrastructure using AWS Console and Ansible for configuration management
• Perform deep-dive technical analysis of Windows operating systems and infrastructure
• Develop and maintain Power Shell and Python scripts for process automation
• Provide comprehensive infrastructure support for critical system issues across multiple products
• Drive process improvement projects to enhance support delivery
• Partner with global Amazon teams to resolve complex customer issues
• Create and maintain technical documentation
• Lead and execute ambiguous technical projects
• Implement AWS services and cloud infrastructure solutions
- Bachelor's degree in Computer Science or similar
- +2 years experience in software programming with at least one modern language
- +2 years experience designing software/systems, implementing, maintaining and deploying components that solve problems in a complex ecosystem
- Experience managing projects with shifting priorities
- Experience with network fundamentals (including load balancers, switches, routers, etc.)
- Experience building and maintaining strong working relationships with internal and external partners
- Experience with AWS, networks and operating systems
- Experience with physical security systems (such as Lenel, Honeywell, AMAG, Bosch, Milestone) or their associated hardware
- Ability to program to solve problems and automate repetitive tasks in a common scripting languages such as PowerShell and Python
- Experience working with Ansible Automation Platform
- Hold a current ASIS CPP, APP or PSP certification
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Key job responsibilities
- Mentor less experienced Applied Scientists
- Engage in state-of-the-art and innovative research in areas such as Gen AI, model compression, and knowledge distillation
- Contribute to a novel and comprehensive training platform custom-tailored for preparing models for edge applications
- Invent optimization techniques to push the boundaries of deep learning model training
- Derive research approaches from first principles via knowledge of Information Theory, Statistics, Scientific Computing, and Deep Learning Theory
- Create and propose detailed theoretical specifications for novel research ideas and directions, and rigorously justify their correctness
- Train custom Gen AI models that beat the SOTA and paves path for developing production models
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in building machine learning models for business application
- 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
These jobs might be a good fit