About the job
We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.
Responsibilities
Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video, audio, and text.
Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories.
Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences.
Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
Effectively communicate technical and non-technical ideas with teammates and stakeholders.
Stay up-to-date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis.
Publish your research findings in top conferences and journals.
Qualifications
Minimum
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
Preferred
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.