Latest ML Engineering jobs at Weave

Leads the architecture and delivery of scalable machine learning infrastructure and customer-facing voice and audio generative AI solutions. The role requires extensive production ML experience, distributed systems expertise, cloud-native operations, and technical leadership across engineering teams.

Leads development of scalable machine learning infrastructure, models, and internal platforms for voice and speech GenAI products. Requires extensive ML/AI experience, expertise in modern LLM techniques and audio models, distributed systems, cloud deployment, and production-scale data platforms.

Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.

Builds ML infrastructure, models, and platforms to enable AI-powered features for developers handling massive datasets. Requires 5+ years backend experience, production ML deployment, and expertise in LLMs, RAG, distributed systems, and cloud platforms.

Build and deploy scalable machine learning infrastructure, models, and AI platforms for voice, speech, and natural-language products. The role requires 5+ years in ML or AI, production experience with large-scale data and multi-tenant applications, and expertise in distributed cloud systems.