Senior Applied Scientist, Amazon

• 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
• 5+ years experience of building machine learning models or developing algorithms for business application

Desirable

• We are seeking world class scientists to join the Abuse Prevention team within Device & Service Security
• This group is entrusted with researching, developing, and deploying large scale solution to detect and prevent device abuse (e.g. malware, device security health check)
• In this role, you will address unprecedented challenges by developing innovative solutions
• If you are passionate about security and have experience with large-scale machine learning, this opportunity will be both stimulating and rewarding
• Our mission is to enhance device security for device customers globally
• In this group, you will collaborate with leading security researchers and developers, build and deploy machine learning models to power anomaly and abuse mitigation, and contribute to the advancement of device security
• Your work will have direct impact on over 200 millions device customers such as FireTV, Echo and Tablet, as we're building massively scalable and globally distributed security systems to protect our customers
• Conduct cutting-edge research and drive new initiatives which have strong potential to be used to protect our device customers
• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment
• Invent, implement, and deploy state of the art machine learning algorithms and systems for information security applications
• Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services
• Report results in a scientifically rigorous way
• Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for
• Advance the state-of-the-art by inventing new techniques and contribute to intellectual property through patents and external publications
• Lead and define long-term scientific roadmap of the service