Staff Machine Learning Engineer

October 8

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Lily AI

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Description

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

Requirements

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

Benefits

• Competitive compensation based on experience and location. • Focus on equity and ownership.