Principal Applied Scientist, Amazon Publisher Cloud

Amazon; New York (NY); On-site; USD 179,000 - 310,000; Full time

Job summary

Amazon seeks a Principal Applied Scientist for its Publisher Cloud service, where you'll lead innovative ML strategies, mentorship, and collaboration across engineering teams. Ideal candidates hold a Ph.D. and possess significant experience in developing impactful ML solutions. Join us to revolutionize digital advertising and push boundaries in a growth-focused culture.

Qualifications

• Ph.D. required in relevant fields.
• 10+ years of experience in ML solutions.
• Proven leadership in ML project delivery.

Responsibilities

• Analyze offerings to uncover growth opportunities.
• Mentor applied and data scientists.
• Collaborate to optimize ML solutions.

Skills

Machine Learning

Data Analysis

Technical Mentorship

Collaboration

Innovative Research

Education

Ph.D. in Machine Learning, Computer Science

Job description

Principal Applied Scientist, Amazon Publisher Cloud

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Principal Applied Scientist, Amazon Publisher Cloud

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Description

Amazon Publisher Cloud is a game-changing new service, currently in beta, that operates at the intersection of advertising, secure signal collaboration, and cloud services. In this role you will be a key member of an entrepreneurial team tackling some of the most exciting and complex opportunities in digital advertising.

Description

Amazon Publisher Cloud is a game-changing new service, currently in beta, that operates at the intersection of advertising, secure signal collaboration, and cloud services. In this role you will be a key member of an entrepreneurial team tackling some of the most exciting and complex opportunities in digital advertising.

Amidst rapid growth and evolving challenges, Amazon Publisher Cloud seeks a Principal Scientist with a deep passion for data, innovation, and the drive to explore new frontiers. This role is perfect for a leader capable of inspiring our team, pioneering cutting-edge strategies, and playing a crucial role in crafting world-class advertising solutions. If you're ready to lead in a culture that prioritizes experimentation, teamwork, and ownership, join us. Together, we'll lead the advancement of advertising, pushing boundaries to ensure our continued success and growth.

Key job responsibilities

As a Principal Applied Scientist in the team, you will:

• Deeply analyze our current offerings to uncover opportunities for business growth through advanced ML solutions.
• Provide mentorship to applied scientists and data scientists within the organization, setting a high bar for technical rigor and ML excellence.
• Collaborate closely with engineering teams, leveraging your expertise to navigate technical constraints and achieve optimal performance.
• Explore and pioneer innovative, high-impact research avenues in uncharted technical and scientific areas, leading them from inception to successful implementation.
• Take the lead in sharing our ML breakthroughs with the wider scientific community and external stakeholders.
• Research, build, and deploy innovative ML solutions; working across all technical disciplines.
  
  

About The Team

Amazon Publisher Services helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app and advanced TV publishers of all sizes, including many of comScore’s global top 100, to help them monetize their content with demand from multiple programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds. The result is more profitable advertising for publishers and more relevant ads for customers.

Basic Qualifications

• Ph.D. in Machine Learning, Computer Science, or related disciplines.
• Over 10 years of hands-on experience in developing ML solutions for customer-facing products.
• At least 2 years of direct experience leading multiple ML projects, with a focus on designing products that effectively meet customer needs.
• Demonstrated history of delivering large-scale, high-quality ML projects.
• Demonstrated track record of applying ML techniques to deliver measurable business impact.
  
  

Preferred Qualifications

• Proven track record in deploying large-scale deep learning models for online recommendation, personalization, or search.
• Solid experience collaborating with engineering teams to adapt deep learning solutions to meet strict latency targets.
• Demonstrated ability to shape product strategy with innovative research in deep learning.
• A history of contributing to internal or external publications that inspire new research directions.
• Outstanding verbal and written communication skills.
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2624560

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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