Applied Scientist Learned Systems Group jobs at Amazon in Germany, Munich

AWS is looking for world class scientists to join The Learned Systems Group to broadly apply machine learning and foundational models to database system problems. Within the Learned Systems Group you will invent, implement, and deploy state of machine learning techniques to make our data systems easier to use or to improve its efficiency. Potential projects include but are not limited to Amazon Q Generative SQL (Text2SQL and other interactive ways to work with structured data in natural language), AI-driven cluster scaling techniques, cluster pool optimization, or autonomics (e.g., learning-enhanced storage layouts, intelligent scheduling and admission control, MV selection). You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and scientists.Key job responsibilities
As an Applied Scientist, you will own the design and development of end-to-end AWS database experiences (using mostly C++ and Python). You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.A day in the life
Utility Computing (UC)About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the 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

- Are enrolled in or have completed a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 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 with relational database internals (i.e. query execution, scheduling, performance optimization)

This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations.”Key job responsibilities
In this role, you will:
- Engage with industry leading partners to execute our installation strategy.
- Develop installation processes, mechanisms, and standard operating procedures supporting terminal installation at scale.
- Design system test and verification processes and document at-scale mechanisms.
- Manage tactical interactions with partners to ensure milestones, deliverables, and technical artifacts are technically compliant with project objectives and programmatic requirements.
- Communicate regularly with senior management on status, risks and change control.
- Relentlessly simplify and innovate to solve challenging site installation and integration problems.
- Focus on our efforts in the EMEA regionA day in the life
As a Gateway Commissioning Engineer, you will provide both engineering and on-site leadership to teams performing installation of our ground gateway systems. You will travel extensively (50%+) and be responsible for the installation of each site and direct the work of other team members at sites. You will also be the on-site engineer for performance of site configuration and acceptance testing. These systems provide mission critical communications with Kuiper satellites. Ground terminals include state of the art tracking antennas, modems, and innovative supporting systems.

- Bachelor's degree in a technical field (Mechanical Engineering, Aerospace Engineering, etc)
- Experience working in satellite communications ground systems and operations

- Experience delivering technical projects
- LEO and/or MEO satellite systems experience
- Experience leading globally located earth station projects

This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations.Key job responsibilities
• Create a scalable customer insight mechanism (e.g. conjoint)
• Define metrics to identify drivers of subscriber acquisition, retention, and overall business health
• Develop recurring competitive insights and pricing trend analysis
• Collaborate with Regional Leads to identify gaps and trends to drive actionable insights across Europe
• Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders
• Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
• Architect standardized data models in the data warehouse for analysis and long-term reporting
• Work with product teams to identify gaps and trends
• Analyze large data sets using a variety of database query and visualization tools

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Fluency in statistical concepts and advanced statistical techniques - distributions, confidence intervals, time series analysis, regression models, clustering.
- Experience with statistical analysis tools (such as R), root cause analysis, process design and control.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling