PaveSan Francisco, CABuilds production AI systems using LLMs, agentic architectures, and retrieval systems. Ships end-to-end features in fast-paced environments with strong product instincts and collaborative engineering practices. Requires 3+ years experience.
Targeted cash compensation:
Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.
Builds end-to-end product experiences to drive AI adoption among scientists, focusing on onboarding, experimentation, and growth loops. Requires 5+ years full-stack experience with React/Python, strong product intuition, and analytics skills.
Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Build full stack AI/ML features for finance automation platform, owning greenfield projects with Python/TypeScript/Next.js. Requires 3-5 years full stack exp, 1+ year AI/ML inference, in-person NYC.