CONTRACT - Engineer, ML Ops (NTD)

Nintendo of America Inc.
medical insurance, sick time
United States, Washington, Redmond
4600 150th Avenue Northeast (Show on map)
Feb 13, 2025
Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch system and the Nintendo 3DS family of portable systems. Since 1983, when it launched the Nintendo Entertainment System, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy, Game Boy Advance, Nintendo DS family of systems, Super NES, Nintendo 64, Nintendo GameCube, Wii and Wii U systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokemon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. * Machine Learning Operations Engineer for the Nintendo Technology Development Inc. (NTD) organization will be responsible for building and maintaining infrastructure and highly available services for ML research and development. This role will work closely with IT, Engineering and Data Science teams. DESCRIPTION OF DUTIES Design and implement the engineering infrastructure and the data pipelines to support machine learning systems for our engineering and data science teams. Take offline models data scientists build and turn them into real machine learning production systems. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine learning systems. Communicate with engineering and data science teams to build requirements and track progress Up to 10% travel; domestic and international. SUMMARY OF REQUIREMENTS: 3-5 years' experience building end-to-end systems as a Platform Engineer, ML Ops Engineer, or Data Engineer (or equivalent). Strong software engineering skills in complex, multi-language systems. Fluency in Python. Experience with Linux system administration. Experience deploying and maintaining container orchestration platforms like Kubernetes. Experience developing containers in cloud computing environments. Experience working with cloud computing and database systems. Experience building custom integrations between cloud-based systems using APIs. Experience developing and maintaining ML systems built with open-source tools. Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.). Strong understanding of software testing, benchmarking, and continuous integration. Exposure to machine learning methodology and best practices. Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.). Ability to translate business needs to technical requirements. Fluency in Japanese a plus. BS or MS in engineering, computer science, a related field, or equivalent combination of education and experience. Valid passport may be required. This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position has a base pay range of $60 - $91 per hour and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. #LI-Onsite