מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Key job responsibilities
You will work with a team of talented engineers and cross-functional partners including Product and Science to deliver innovations to our global customers to build a long-term relationship with Prime Video by bringing them back to the service, curates and personalizes their storefront to highlight the diversity and depth of the PV catalog.You will build solutions that leverage the latest technologies including large language models and other machine learning techniques. You will work with (1) high volumes of data (2) use known models or optimized models (3) set up ML training infrastructure and (4) test and validate your changes in production worldwide.A successful candidate will have strong technical skills, great analytical reasoning ability, excellent communication skills, high creativity, and motivation to achieve results in a fast-paced environment. You should also have industry experience in building scalable systems, working with large data sets and ML models, understanding their limitations and best practices. You feel comfortable adapting to evolving requirements based on learnings. Lastly, it would be ideal if you have a passion for entertainment including movies, TV show and live events.A day in the life
You will actively participate in the end-to-end software development lifecycle for the platforms and features we own - including requirements gathering, system design and implementation, testing and ongoing support. Our tech stack includes API gateway, Lambdas, S3, DynamoDB, SageMaker, model inference pipelines and complex caching techniques. Our team embraces agile methodologies with a focus on test automation and continuous deployment. Moreover, you will exchange ideas with your Product and Applied Science partner to influence and shape the future of our content personalization strategy.
- 3+ years of non-internship professional software development experience
- 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience programming with at least one software programming language
- Experience building complex software systems that have been successfully delivered to customers
- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Knowledge of large language models and experience in prompt engineering
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