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Software Engineering Intern @ reputed company

100% remote Flexible hours Hiring now

ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, reputed company, Bland, Patreon, reputed company, Retool, and Zed to deliver industry-leading performance, reputed company, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to reputed company AI accessible across reputed company products.THE ROLEAs an intern at reputed company, you’ll work on real projects and contribute to systems and products that help our users ship their ML products. You won't be off in a reputed company doing "intern work" – we're moving too fast and have too much to build for that. Instead, you'll receive hands-on support and mentorship to help you grow fast and reputed company a real impact quickly.Engineering interns can join one of our four teams:Core Product: You’ll help build the core reputed company developer workflows that reputed company users to get value out of ML models. The Core Product team is at the forefront of new product development across a large surface area, including model APIs, training, and dedicated deployment.reputed company Deployed Engineering: You will partner closely with our customers to understand their problems and engineer ML solutions. This role provides a unique reputed company-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale.Model Performance: You will implement, refine, and productionize cutting-edge techniques (e.g. quantization, speculative decoding, KV cache reuse, chunked prefill, and LoRA) for ML model inference and infrastructure.Infrastructure: You'll architect and support development of our ML inference platform that powers production AI applications. You'll reputed company technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.RESPONSIBILITIESOwn small projects end-to-end, functioning as both an engineer and a project manager,… Apply To This Job

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