Machine Learning Engineer, Sponsored Products and Brands

About the role

Sponsored Products and Brands (SPB) helps millions of advertisers reach shoppers across Amazon's stores worldwide. Behind every ad we show are machine learning models that predict click-through rate (CTR) and conversion rate (CVR). These predictions decide which ads are relevant, how they rank, and how advertisers get value.

Our team builds and runs the ML infrastructure behind those models, end to end:

• Offline feature engineering: a multi-tenant platform used by several ML teams. It runs thousands of daily feature jobs over petabyte-scale data and produces the features that train models in every marketplace we serve.
• Model training: the standard system that retrains CTR and CVR models every day. How fresh these models are directly affects advertiser results and Amazon's revenue.
• Online feature store and feature retrieval: low-latency, high-throughput services that provide features when a model makes a prediction. These predictions feed the scores used in real-time ad ranking.
• Next-generation research platform: a platform that uses AI agents to help scientists explore, test and launch new model ideas faster.

As an SDE II, you'll design, build and run distributed systems that work at very large scale, both in offline batch processing and online serving. You'll work closely with applied scientists and engineers to make models fresher, help scientists try ideas faster, and keep the systems that support ads ranking reliable.

Key job responsibilities

• Design and develop ML infrastructure for advanced recommendation models, from training through real-time inference, that delivers highly relevant ads to shoppers worldwide
• Improve the scalability, automation and efficiency of large-scale training and real-time inference systems
• Work closely with applied scientists to optimize the performance of ML models and infrastructure, and take models from experimentation into production
• Deliver ML solutions end to end: design, implementation, testing, deployment and operations
• Collaborate with engineers and scientists across the team to build systems that serve ads across all Amazon platforms and surfaces
• Participate in design and code reviews and mentor peers

A day in the life

• You might start the day checking the health of the overnight feature and training pipelines.
• Then you'd work with scientists on how to support a new model architecture, and spend the afternoon building a performance improvement for the online feature store.
• You'll ship often, see your work affect ads served around the world, and influence how ML infrastructure grows across the organization.

Basic Qualifications

• 3+ years of software development engineer or related occupational experience
• 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
• 1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
• Experience programming with at least one software programming language

Preferred Qualifications

• 1+ years of mathematics optimization such as linear programming and nonlinear optimization experience
• Master's degree in Computer Science, Engineering, Mathematics, or a related field

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, NY, New York - 158,100.00 - 213,800.00 USD annually

USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually