Amazon Applied Scientist Annapurna ML 

United States, Washington, Seattle 

128395564

By applying to this position, your application will be considered for all locations we hire for in the United States.Our full-time opportunities are available in, but are not limited to the following domains:
• Machine Learning: You will put Machine Learning theory into practice through experimentation and invention, leveraging machine learning techniques (such as random forest, Bayesian networks, ensemble learning, clustering, etc.), and implement learning systems to work on massive datasets in an effort to tackle never-before-solved problems.• Natural Language Processing and Speech Technologies: You will tackle some of the most interesting research problems on the leading edge of natural language processing. We are hiring in all areas of spoken language understanding: NLP, NLU, ASR, text-to-speech (TTS), and more!
• Computer Vision and Robotics: You will help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for our customers.Key job responsibilities
You will have access to large datasets with billions of images and video to build large-scale systems
Analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept
Own the design and development of end-to-end systemsWork closely with AWS scientists to develop solutions and deploy them into production

• Master’s degree or higher in engineering, computer science, machine learning, statistics, physics, or related fields with a graduation conferral date between December 2023 and September 2024
• Experience in designing experiments and statistical analysis of results.
• Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.

• Ph.D. program in engineering, computer science, machine learning, operations research, statistics, or related fields with a graduation conferral date between December 2023 and September 2024
• Familiar with the core undergraduate curriculum of computer science.
• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
• Publications at top-tier peer-reviewed conferences or journals.
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.