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
- 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
- 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 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.
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