Principal Applied Scientist

4 weeks ago

Palo Alto, United States Amazon Development Center U.S., Inc. - B02 Full time
  • Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field with publications in refereed academic journals
  • 7+ years of hands-on experience in solving difficult machine learning problems
  • Expert 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 lead
  • Excellent 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 analysis
  • Proven track in leading, mentoring, and growing teams of scientists

Amazon is looking for a 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 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 the 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.

Amazon 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.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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