Only 24h Left! Machine Learning Engineer, JP Science andData

Machine Learning Engineer, JP Science and Data Job ID:2919948 | Amazon Japan G.K. - A43 The JP Retail Science team islooking for a Machine Learning Engineer to expand our efforts invendor tooling. To help vendors grow their business, Amazonprovides multiple programs such as deals, ads, etc. In thisposition, you will be expected to support the system for pipelines,models and architecture to evaluate the downstream impact of thoseprograms. The underlying models are a mix of causal and ML. Theideal candidate will have knowledge of at least one of ray, sparkor rapidsai framework to accelerate model training. A background incausal inference (e.g. Double ML) is a plus but not required. Thisis the ideal role if you are excited about leveraging science fortangible business impact. You will work within an internationalteam of scientists and engineers, all based in Tokyo, Japan. We area team that thrives on growth, both personal and professional.Engage in academic collaborations, spark innovation in hackathons,and expand your horizons with conference visits. Key jobresponsibilities The MLE is accountable for: 1. Work withscientists to design and develop scalable ML infrastructure thatsupports model training, deployment, and monitoring across hundredsof vendors 2. Implement efficient data pipeline and architecturesthat enable automated ML workflows for our eCommerce partners 3.Build ML debugging and analysis tools to ensure model reliabilityand performance 4. Utilizing Amazon systems and tools toeffectively work with terabytes of data. 5. Partner with productmanagers to shape the technical roadmap for vendor growth toolingat AMZ. About the team In this position, you will be part of the JPScience and Data team, consisting of scientists, businessintelligence engineers, data engineers, and machine learningengineers, collaborating with Product Managers and SoftwareDevelopers worldwide. Our current projects touch on the areas ofcausal inference, representation learning, anomaly detection,forecasting, LLMs and more. As part of working on Paid Services,you will be exposed to all other projects the team works on: webelieve that collaboration is paramount, and working in isolationdoes not lead to a happy team. We place strong emphasis oncontinuous learning through internal mechanisms for our teammembers to keep on growing their expertise and keep up with thestate of the art. Our goal is to be primary science team for vendorsolutions in Amazon, worldwide. BASIC QUALIFICATIONS - 3+ years ofnon-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 programminglanguage - Familiar with the life cycle of a ML model. I.e.,trained, customized, tuned and validated ML models that areleveraged in a science application. - Strong understanding ofstatistics and math PREFERRED QUALIFICATIONS - 3+ years of fullsoftware development life cycle, including coding standards, codereviews, source control management, build processes, testing, andoperations experience - Bachelor's degree in computer science orequivalent Our inclusive culture empowers Amazonians to deliver thebest results for our customers. If you have a disability and need aworkplace accommodation or adjustment during the application andhiring process, including support for the interview or onboardingprocess, please visit this link for more information. Amazon iscommitted to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis ofrace, national origin, gender, gender identity, sexual orientation,protected veteran status, disability, age, or other legallyprotected status. #J-18808-Ljbffr