Job summary
Job post source
This job is directly from Amazon
Job overview
The Principal Applied Scientist role at Amazon involves leading research in machine learning and AI to drive innovation and impact at scale within the company.
Responsibilities and impact
The role requires defining research directions, inventing machine learning techniques, conducting experiments, publishing results, translating research into practice, strategic planning, mentoring, and leadership development.
Compensation and benefits
The base salary ranges from $179,000 to $309,400 depending on location and experience, with additional compensation including equity, sign-on payments, and a full range of medical and financial benefits.
Experience and skills
Candidates must have a PhD in a quantitative field, 8+ years of research experience, publications in top-tier venues, fluency in Python and SQL, strong algorithm development skills, and experience mentoring senior staff; programming in Java or C++ and business application experience are preferred.
Career development
The position offers opportunities for leadership development, mentorship roles, and participation in organizational planning, fostering professional growth within Amazon.
Work environment and culture
Amazon promotes an inclusive culture focused on customer-centric innovation, equal opportunity employment, and workplace accommodations for disabilities.
Company information
Amazon is a leading global technology company known for its innovations in e-commerce, cloud computing, AI, and more, with a strong emphasis on scientific research and customer focus.
Job location and travel
The position is available across multiple US locations, with salary varying by geographic market; remote work options are not specified.
Application process
Applicants should apply via Amazon's internal or external career sites; accommodations are available for candidates with disabilities during the hiring process.
Unique job features
The role involves working on cutting-edge AI and machine learning research with the opportunity to impact large-scale customer solutions and participate in full-cycle development from conception to delivery.
Company overview
Amazon is a global technology and e-commerce giant that specializes in online retail, cloud computing, digital streaming, and artificial intelligence. Founded by Jeff Bezos in 1994, Amazon generates revenue through diverse channels including its e-commerce platform, Amazon Web Services (AWS), subscription services like Amazon Prime, and advertising. Known for its customer-centric approach and relentless innovation, Amazon has expanded its business portfolio to include acquisitions such as Whole Foods Market and the development of cutting-edge technologies like Alexa and drone delivery.
How to land this job
Position your resume to highlight your extensive research experience in machine learning, reinforcement learning, and deep learning, emphasizing your PhD and 8+ years of relevant experience.
Focus on showcasing your technical skills in Python, SQL, algorithm development, and any experience with Java or C++, as well as your ability to translate research into scalable engineering solutions.
Apply through multiple channels including Amazon's corporate career site, LinkedIn, and other job boards listing this role to maximize your visibility.
Connect with current Principal Applied Scientists or leaders in Amazon Science on LinkedIn; start conversations by referencing recent Amazon Science publications or expressing your enthusiasm for their work in AI and machine learning innovation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'reinforcement learning,' 'algorithm development,' 'Python,' and 'mentorship' to ensure it passes automated screening.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, identify multiple application portals, and find LinkedIn contacts, freeing up your time to prepare for interviews and deepen your network.
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