Staff Machine Learning Engineer

October 8

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Description

β€’ Design and develop scalable platforms and services driving business impact. β€’ Define, design, and maintain machine learning data pipelines and training infrastructure. β€’ Optimize, benchmark, and productionize deep learning models. β€’ Drive cost efficiency and throughput improvements with relevant KPIs. β€’ Transition research prototypes into robust, production-ready systems. β€’ Deploy, monitor, and continuously improve models in production environments. β€’ Develop tools and shared libraries to boost team productivity.

Requirements

β€’ 10+ years building large-scale machine learning solutions and MLOps practices. β€’ Experience with LLM APIs and serving LLMs in-house at scale. β€’ Proficiency in Kubernetes, RDBMS, and API-driven development. β€’ Experience in low-latency model serving and service scaling. β€’ Strong emphasis on code hygiene, including review, documentation, testing, and CI/CD practices. β€’ Proficiency in Python and PyTorch, and scientific Python ecosystem. β€’ Proficiency in cloud-native application development. β€’ Action-oriented with the ability to articulate complex concepts.

Benefits

β€’ Competitive compensation based on experience and location. β€’ Focus on equity and ownership.

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