Amazon
Principal Applied Scientist
Amazon, Seattle, Washington, us, 98127
Job ID: 2668772 | Amazon Development Center U.S., Inc. - B02Amazon is looking for world class Principal Applied Scientist to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Key job responsibilities
As a Principal Applied Scientist, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and medical research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to its implementation.A successful candidate has excellent technical depth, scientific vision, great implementation skills, and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world, open-ended problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning and statistics to truly impact the lives and health of millions of customers.You mentor and help develop a team of Applied Scientists and SDEs and work with key leaders to guide this top talent to push the boundary of science and next generation of product. They will lead the technical implementation of our evidence-based retrieval sub-system that ingests, indexes and retrieves relevant data in different forms and from multiple sources given the customer question and context.BASIC QUALIFICATIONS
Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field with publications in refereed academic journals7+ years of hands-on experience in solving difficult machine learning problemsExpert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)Demonstrated ability to serve as a technical leadExcellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.Strong fundamentals in problem solving, algorithm design and complexity analysisProven track in leading, mentoring, and growing teams of scientistsPREFERRED QUALIFICATIONS
Deep technical knowledge of machine learning and statistical methodologiesExperience with deep learning toolkits and frameworksSolid software development experienceAlgorithm and model development experience for large-scale applicationsExperience with defining research and development practices in an applied environmentExcellent communication skills, both written and oral, with technical and business people.Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementationAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
As a Principal Applied Scientist, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and medical research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to its implementation.A successful candidate has excellent technical depth, scientific vision, great implementation skills, and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world, open-ended problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning and statistics to truly impact the lives and health of millions of customers.You mentor and help develop a team of Applied Scientists and SDEs and work with key leaders to guide this top talent to push the boundary of science and next generation of product. They will lead the technical implementation of our evidence-based retrieval sub-system that ingests, indexes and retrieves relevant data in different forms and from multiple sources given the customer question and context.BASIC QUALIFICATIONS
Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field with publications in refereed academic journals7+ years of hands-on experience in solving difficult machine learning problemsExpert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)Demonstrated ability to serve as a technical leadExcellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.Strong fundamentals in problem solving, algorithm design and complexity analysisProven track in leading, mentoring, and growing teams of scientistsPREFERRED QUALIFICATIONS
Deep technical knowledge of machine learning and statistical methodologiesExperience with deep learning toolkits and frameworksSolid software development experienceAlgorithm and model development experience for large-scale applicationsExperience with defining research and development practices in an applied environmentExcellent communication skills, both written and oral, with technical and business people.Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementationAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr