Search Science Data Infrastructure (SSDI) team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This platform provides the ML training data and real-time signals / embeddings for inferencing to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 450+ teams across Amazon consume our datasets to power analytics and behavioral models. We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station.

Key job responsibilities

Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. You will be at the center stage for managing machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking. You will drive to provide a world class platform for Amazon Search engineers to comprehensively observe and introspect their applications and services both pre and post deployment to our large scale inference services. You will drive a scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services. You will work with partners on training data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.

In this role, you will:

* Establish a culture fueled with customer-obsessed innovation and engineering excellence

* Build training data systems to provide high-quality customer engagement signals as a feedback loop to the search ranking and matching models powering the Amazon Search experience

* Engage closely with the team and provide technical leadership, strategic direction, and oversight to ensure timely delivery with high quality

* Mentor the professional development of each direct report through personal and performance management

* Attract, excite, grow, and retain top engineering talent

* Build strong relationships with your customers, peers, and stakeholders

BASIC QUALIFICATIONS

- 3+ years of engineering team management experience

- 7+ years of working directly within engineering teams experience

- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

- 8+ years of leading the definition and development of multi tier web services experience

- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

- Experience partnering with product or program management teams

PREFERRED QUALIFICATIONS

- Master's degree in computer science or equivalent

- Experience with building and deploying machine learning systems to solve large-scale optimizations, or experience in operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets for machine learning

- Experience building machine learning infrastructure for large-scale business applications that have been successfully delivered to customers

- Experience in operational excellence, security compliance, and distributed systems resiliency

- Experience working with customers with a passion for delivering exceptional service, or experience that includes strong analytical skills, attention to detail, and effective communication abilities

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 - 212,700.00 - 287,700.00 USD annually