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.
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