Senior Applied Scientist, Sponsored Products and Brands -- Offsite

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the

advertising landscape through industry leading generative AI technologies,

revolutionizing how millions of customers discover products and engage with

brands across Amazon.com and beyond. We are at the forefront of re-inventing

advertising experiences, bridging human creativity with artificial intelligence

to transform every aspect of the advertising lifecycle from ad creation and

optimization to performance analysis and customer insights. We are a passionate

group of innovators dedicated to developing responsible and intelligent AI

technologies that balance the needs of advertisers, enhance the shopping

experience, and strengthen the marketplace. If you are energized by solving

complex challenges and pushing the boundaries of what's possible with AI, join

us in shaping the future of advertising.

About our team

The Sponsored Products and Brands -- Offsite team builds solutions that extend

campaigns beyond the Amazon store, reaching shoppers across third-party

environments where they discover and shop. We combine large-scale, low-latency

systems with advanced machine learning and AI to deliver high-quality sponsored

experiences in high-intent surfaces.

Key job responsibilities

As a Senior Applied Scientist on this team, you will:

* Effectively communicate technical and non-technical ideas with teammates and

stakeholders, adjusting your delivery to the audience to maximize impact.

* Drive or heavily influence the design of scientifically-complex software

solutions or systems. You take ownership of these components, providing a

system-wide view and design guidance. These systems or solutions can be brand

new or evolve from existing ones.

* Define a long-term science vision and roadmap for our Offsite advertising

business, driven from our customers' needs. This role combines science

leadership, organizational ability, technical strength, product focus, and

business understanding.

* Work closely with engineers and product managers to design, implement and

launch AI solutions end-to-end.

* Design and conduct A/B experiments to evaluate proposed solutions based on

in-depth data analyses.

* Identify opportunities where GenAI solutions can accelerate learning and

efficiency, and drive greater advertiser outcomes.

* Mentor and guide junior scientists, fostering a collaborative and

high-performing team culture.

* Stay up-to-date with advancements and the latest modeling techniques in the

field Basic

Qualifications

• - 3+ years of building machine learning models for
• business application experience
• - PhD, or Master's degree and 6+ years of applied research experience
• - Experience programming in Java, C++, Python or related language
• - Experience with neural deep learning methods and machine learning Preferred

Qualifications

• - Experience with modeling tools such as R, scikit-learn, Spark
• MLLib, MxNet, Tensorflow, numpy, scipy etc.
• - Experience with large scale distributed systems such as Hadoop, Spark etc.
• 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
• [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.
• The base salary range for this position is listed below. Your Amazon package
• will include sign-on payments and restricted stock units (RSUs). Final
• compensation will be determined based on factors including experience,
• qualifications, and location. Amazon also offers comprehensive benefits
• including health insurance (medical, dental, vision, prescription, Basic Life &
• AD&D insurance and option for Supplemental life plans, EAP, Mental Health
• Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy
• Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
• Learn more about our benefits at https://amazon.jobs/en/benefits
• [https://amazon.jobs/en/benefits].
• USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually
• USA, NY, New York - 183,800.00 - 248,700.00 USD annually
• USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually