Lily AI
Lily AI is an eCommerce product discovery platform that helps brands enhance site search, recommendations, and product copy generation. It operates in the fashion, home, and beauty industries, utilizing AI to improve product visibility and sales through enriched product attributes. By aligning product data with shopper language and trends, Lily AI boosts search performance and conversion rates for global retailers. Its technology supports a range of applications from Google Shopping Ads to organic product listings and marketplaces, maximizing sales and customer engagement.
Staff Machine Learning Engineer
October 8, 2024
🇺🇸 United States – Remote
💵 $140k - $220k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Lily AI
Lily AI is an eCommerce product discovery platform that helps brands enhance site search, recommendations, and product copy generation. It operates in the fashion, home, and beauty industries, utilizing AI to improve product visibility and sales through enriched product attributes. By aligning product data with shopper language and trends, Lily AI boosts search performance and conversion rates for global retailers. Its technology supports a range of applications from Google Shopping Ads to organic product listings and marketplaces, maximizing sales and customer engagement.
📋 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.
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