Principal Applied Scientist, OPD Hardware - Sunnyvale, CA, United States - Amazon
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Description
Principal Applied Scientist, OPD Hardware
Job ID: | Services LLC
As a Principal Applied Scientist, you are a trusted leader and part of technical leadership. You will drive the next phase of innovation, pushing scientific boundaries to solve the most complex problems. You will draw on vast experience in industry to set the standard for scientific excellence. You will make decisions that impact the way we build our products, creating even better experiences for our customers.
Key job responsibilitiesDefine key research directions, adopting or inventing new machine learning techniques
Conduct rigorous experiments, publishing results, and ensuring that research is applied.
Develop long-term strategies, influencing teams to adopt those strategies, propose goals and deliver on them.
Participate in organizational planning, hiring, mentorship and leadership development.
Be technically fearless, with a passion for building scalable science and engineering solutions.
Act as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). We are open to hiring candidates to work out of one of the following locations: Sunnyvale, CA, USA
BASIC QUALIFICATIONS
PhD with specialization in artificial intelligence, machine learning, or computer science 10+ years of combined academic and research experience.
Create novel machine learning algorithms.
Define scalable models.
Invent the next generation of approaches.
Excellent publication record in top-tier journals and conferences.
Mentor and train the science community
Experience developing software in traditional programming languages (C++, Java, etc..).
Excellent written and spoken communication skills
PREFERRED QUALIFICATIONS
10+ years of experience building and deploying innovative machine learning solutions at scale.
Expert level skills across numerous Machine Learning methodologies.
Published research work in top-tier conferences or industry circles.
Experience delivering complex end-to-end ML solutions that run at very large scale.
Excellent business judgment; balances business, product, and technology very well.
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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.
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