Amazon Technologies, Inc.

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilitiesWhat will you do?- Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms- Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques - Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine- Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics - Train custom Gen AI models that beat SOTA and paves path for developing production models- Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices- Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.BASIC QUALIFICATIONS- 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 ...

Our team’s mission is to build the world’s most useful agent, and we’re looking for a Data Engineer to build the pipelines and tools for collecting and analyzing a wide range of human data. You’ll work alongside world class AI researchers, engineers, and program managers to identify and implement the best processes for human data collection. This role is highly cross-functional, leveraging skills across data science, machine learning engineering, and project management to ensure our team collects the most effective agentic training data in a rapidly-evolving technological environment.Key job responsibilities* Work closely with researchers engineers to create robust data pipelines and data collection tools.* Work closely with program managers to optimize data collection processes.* Simplify and enhance the accessibility, clarity, and usability of large or complex datasets through the development of advanced dashboards and applications.* Take ownership of the design, creation, and upkeep of metrics, reports, analyses, and dashboards to inform data collection projects.* Develop and manage scalable, automated, and fault-tolerant data solutions using cutting-edge technologies such as Spark, EMR, Python, Redshift, Glue, and S3.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.BASIC QUALIFICATIONS* 3+ years of data engineering experience* 1+ years of program or project management experience* Proficient in SQL* Experience with data modeling, warehousing and building ETL pipelines* Experience using data and metrics to determine and drive improvements* Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...