Software Development Engineer, Sponsored Products
Found in: Talent CA C2 - 1 week ago
The Sponsored Products Demand Identification and Campaign Optimization (DEICO) team is responsible for building experiences across all seller and advertiser touchpoints to generate performant Sponsored Products demand and improved campaign performance through guardrail-based controls. We do this through 1) Creating performant demand focusing on Amazon supplier use cases (e.g. launching a new ASIN) through presets for campaign creation. 2) Making existing demand performant through diagnosing gaps and providing proactive and targeted recommendations, and 3) Developing and launching new campaign optimization rules that allow advertisers to provide performance guardrails and automate optimization of their campaigns. Within these domains, we focus on creating holistic recommendations through machine learning for products to advertise and optimal presets across every parameter that go into Sponsored Products ad campaign setup, as well as consolidated recommendations that improve performance of existing Sponsored Product campaigns.
We are looking for a Software Development Engineer, who can drive appropriate AI/ML technology choices for the business. You will build services to handle billions of requests per day, while maintaining response latencies in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and generative AI.
Key job responsibilities
Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
Work closely with engineers and applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.
We are open to hiring candidates to work out of one of the following locations:
Toronto, ON, CAN
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
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