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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
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Key job responsibilities
- Design, develop, and maintain control software applications for mechatronic systems using modern software development practices, including CI/CD pipelines and DevOps methodologies.
- Implement automated testing frameworks and deployment strategies to ensure code quality, reliability, and seamless integration of control systems software.
- Develop and optimize motion control algorithms, embedded programs, and real-time control systems for industrial automation.
- Drive operational excellence through monitoring, analysis, and continuous improvement of software performance metrics and system reliability.
- 4+ years of non-internship professional software development experience
- 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 3+ years of professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence experience
- 2+ years of embedded software development experience
- Experience deploying, and supporting mechatronic systems
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- Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Utility Computing (UC)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.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.
- 1+ years industry experience as a Software Engineer or Software Developer. • 1+ years developing with Python, Golang, Rust, Java, and/or other modern programming languages.
- Experience developing on Unix/Linux operating system
- Experience building and supporting large-scale software systems that have been successfully delivered to customers
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical discipline (or equivalent experience).
- Current, active US Government Security Clearance of TS/SCI with Polygraph
- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience with CI/CD pipelines build processes
- Experience in automating, deploying, and supporting large-scale infrastructure
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
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Key job responsibilities
This role will be pivotal 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:* Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
* Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
* Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
* Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
* Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.A day in the life
- 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
- Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.
- Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.
- Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.
- Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).
- Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.
- Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.
- Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.
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Work hard. Have fun. Make history.Our tools are critical to developer productivity, which means architecting a scalable, fault-tolerant system is essential.You will engage with experienced, cross-disciplinary staff to conceive and design innovative solutions. You must be responsive, flexible and able to succeed within an open collaborative environment. You will take part in designing solutions to hard problems across a global platform. You will work closely with multiple DevOps teams to drive the SDLC from concept to launch and ensuring the highest level of for your deliverables.Scope of WorkWhy UsKey job responsibilities
- Responsible for the development and maintenance of key features.
- Planning and coordinating feature improvements and upgrades around services.
- Improving the user experience around services.
- Analyzing and improving availability, efficiency, capacity, scalability, security and performance of our services.- Troubleshooting and resolving problems with production systems as part of our on-call rotation.
- Developing and maintaining tools.
- Experience leading the design, automation, deployment, and support of large-scale infrastructure
- Experience with CI/CD pipelines build processes
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
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Key job responsibilities- Develop core machine control logic for industrial edge devices (e.g. PLCs, IPCs)
- Design, simplify and continuously improve system controls architecture including machine control code, networking, electrical design and safety design
- Identify and implement system optimizations
- Integrate control systems with a diverse array of sensors, actuators, motors, and software services
- 5+ years of systems design, software development, operations, automation, and process improvement experience
- Experience designing or implementing integrated automation solutions such as material handling systems, high-speed packaging lines, or manufacturing lines
- Experience in PLC based controls design, development, implementation and support
- 5+ years machine control code development experience with practical experience in structured text
- Experience in Allen-Bradley PLCs, TwinCAT IPCs and Soft PLCs/IPCs
- Experience utilizing software development best practices for code management and code reviews
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience developing controls code utilizing Codesys platform
- Experience with industrial automation and controls system design
- Experience with industrial fieldbus protocols such as Profinet, EtherNet/IP, EtherCAT
- Experience with industrial automation safety design
- Embedded programming experience with C/C++, Java, Python, or similar languages
- Experience with HMI design and development
- Ability to recognize and implement improvements to the human aspects of systems development, implementation, and use
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Key job responsibilities
- Design and develop advanced machine learning models and algorithms for autonomous vehicle systems
- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel approaches to solve complex technical challenges in autonomous navigation
- Create and implement metrics and evaluation frameworks to measure model performance
- Mentor junior scientists and contribute to building a culture of scientific excellenceA day in the life
- 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 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.
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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
These jobs might be a good fit