Applied Scientist Amazon Nova jobs at Amazon in Germany, Aachen

Key job responsibilities
As part of the AGI-VS team, you will work on solving key industry problems through specialized and optimized models and services. You will lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovation on multi-modal (speech/audio/video) representations, understanding, transformation and generation for streaming and non-streaming applications, learning from human and AI feedback, inference time optimizations, and data efficient scaling.A day in the life
You will support the science solution design, run experiments, research innovative algorithms, and find new ways of optimizing the customer experience, while setting examples for the team on best science practice and standards. You will work closely with talented engineers and scientists to deliver your robust solution to core customers within and outside of Amazon.
Along this you create reliable, scalable and high-performing solutions, demonstrate exceptional technical expertise, and showcase a sound understanding of Machine Learning in general and LLM technology in particular.

- Experience building machine learning models or developing algorithms for business application
- PhD, or a Master's degree and experience in CS, CE, ML or related 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

- PhD
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

This role is the single-threaded leader responsible for building reporting and analytics capabilities for Last-mile (incl. 3P carriers) for IN and ECCF (AU, BR, MX, AMET, SG) Operations.Primary objective of this role is to provide visibility on Operations performance and enable Operations to make data-driven decisions through developing i) Reporting capabilities involving development of automated and self-service reports/dashboards; ii) Analytics Capabilities involving building of tools, science-based artefacts and defect attribution/bridges. Specifically, the role is intended to i) Own business critical (xBR, Peak, Contingency) reporting; ii) Be a partner in enabling launch of new programs/features/products by creating right metrics that showcase its adoption and success; iii) Build capabilities that benchmark and improve operations performance (e.g. Scorecards); iv) Build critical BI technology/tools aiding metric optimization, simulations, real-time tracking and alerting; v) Build defect attribution bridges for key operations metrics to enable goal setting and tracking; vi) Build authoritative datasets on Operations performance. The team owns 400+ reporting/analytics capabilities garnering 50K+ hits/month from 1K+ users.A day in the life

- Knowledge of product experimentation (A/B testing)
- Knowledge of a scripting language (Python, R, etc.)

Key job responsibilities

- PhD, or Master's degree and 5+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with GenAI LLMs and multimodal systems
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

Key job responsibilities

- PhD, or a Master's degree and experience in CS, CE, ML or related 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 in building machine learning models for business application

- Experience using Unix/Linux
- Experience in professional software development

Key job responsibilities

- 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 patents or publications at top-tier peer-reviewed conferences or journals

Key job responsibilities

- PhD, or a Master's degree and experience in CS, CE, ML or related 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 in building machine learning models for business application

- Experience using Unix/Linux
- Experience in professional software development

Key job responsibilities

- 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 patents or publications at top-tier peer-reviewed conferences or journals