AI Infrastructure Engineer

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August 8

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LanceDB

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Artificial Intelligence • Enterprise • SaaS

LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• LanceDB is a developer-friendly, open-source data lake for multimodal AI. • We are seeking an engineer who brings both hands-on model training, model fine-tuning, feature engineering expertise and a strong background in data/AI/ML infrastructure to join our world-class team. • Champion a superior Developer Experience, maximizing productivity for AI engineers. • Drive the end-to-end design and development of a high-performance and large-scale feature engineering infrastructure for leading multimodal AI companies. • Collaborate closely with the customers, design partners, and the Lance/LanceDB community

🎯 Requirements

• You like working with a small, high-caliber team with a lot of autonomy and drive, and you can iterate fast. • You have 3+ years of experience building and deploying ML/DL models in production environments or supporting infrastructure for AI researchers and AI engineers performing these tasks, using Python and libraries such as PyTorch or Tensorflow. • You have a proven ability to deliver projects end-to-end, from scoping and resourcing to implementation and delivery. • You have experience with large scale data processing systems such as Spark, Flink, Ray, KubeFlow or Dataflow. • You have a working knowledge of cloud platforms (AWS, GCP, Azure) including managed storage (S3, GCS) and compute (EC2, GKE, AKS). • You have knowledge of monitoring/logging stacks (Prometheus, Grafana, ELK/EFK) for alerting on data pipeline failures, resource saturation, or model skew.

🏖️ Benefits

• Medical, dental, vision, and life insurance • 401(k) retirement plan • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) • Commuter benefits • Generous paid time off