Staff ML - GenAI Engineer, Voice & Speech
Core
Design and build scalable ML infrastructure, tooling, and models to enable teams to create AI-powered voice and audio applications at scale.
Role type
Staff Machine Learning Engineer (GenAI, Voice & Speech)
Builds
Internal ML platforms, scalable data services, and production-ready AI features for customer-facing products
Domain
Generative AI, Voice & Speech, Distributed Systems, Cloud Infrastructure
Deliverable
production ML models | infrastructure | product features
Required skills
GenAI (LLMs, RAG, Fine-tuning), Audio/voice model development, Distributed systems design, Cloud architecture (AWS/GCP), Python, Workflow orchestration (Dagster, MLFlow, Kubeflow), Data engineering (TB-scale), B2B multi-tenant application deployment
Preferred skills
Real-time audio processing (ASR, transcription, speech synthesis), Model Context Protocol (MCP), Kubernetes/GKE Operator pattern, PHI/PII data handling, GitOps/IaC, Open source contributions
Technologies
Python, LLMs, RAG, Prompt Engineering, Triton Server, Postgres, Dagster, MLFlow, KubeFlow, AWS, GCP, Kubernetes, GKE
Responsibilities
Design ML infrastructure and tooling for product teams, Build internal platforms for AI integration, Consult on ML patterns and tradeoffs, Develop scalable data integration services, Mentor teams and share expertise, Translate product goals into engineering plans
Seniority
Staff, hands-on IC with strategic leadership