1 month ago
Responsibilities
- Design and develop ML infrastructure, tooling, and models that enable scalable AI-powered product experiences.
- Build internal and external products and platforms that help engineering teams incorporate AI into customer-facing features.
- Translate product goals into scalable, resilient engineering plans for data integration and event processing.
- Consult with product and development teams on data lifecycles, ML patterns, and technical tradeoffs.
- Write high-quality, performant, sustainable, and testable code in a cloud environment.
- Lead strategic initiatives concerning engineering standards, observability, reliability, and distributed systems.
- Partner with Engineering Managers, Staff Engineers, and cross-functional stakeholders to drive architectural coherence.
- Mentor Staff and Senior Engineers and elevate technical standards through design reviews, documentation, and hands-on guidance.
- Monitor emerging technologies, identify strategic opportunities, and prepare the organization for future technical challenges.
Requirements
- 15+ years of experience in machine learning or AI, with focus or expertise in audio and voice GenAI at scale.
- Production experience building and deploying ML-driven B2B, multi-tenant applications for external customers.
- Deep distributed-systems architecture experience with services handling hundreds of millions of transactions and terabytes of data.
- Expertise with LLMs, RAG, prompt engineering, fine-tuning, high-scale audio and voice models, and LLM evaluations.
- Experience with scalable relational data stores including PostgreSQL, Vitess, and Spanner, plus NoSQL systems such as Bigtable and Redis.
- Operational experience with cloud-native infrastructure on GCP or AWS, including Kubernetes, infrastructure-as-code, and highly available system design.
- Track record of leading cross-team technical initiatives with measurable business outcomes and influencing without direct authority.
- Experience delivering customer-facing GenAI and low-latency, high-accuracy AI agents in production.
- Mandatory deep experience delivering voice or audio solutions for external products at scale.
- Healthcare or fintech compliance experience and familiarity with regulatory considerations in technical design are valued.
- Open-source contributions, conference speaking, or published technical writing are valued.
- Successful completion of a background check is required.
Benefits
- Remote position for candidates based in the United States.
Tech Stack
Categories
About Weave
Weave builds software for small and medium-sized healthcare practices—especially dental and optometry—that unifies phones, texting, online scheduling, digital forms, payments, and reviews to manage patient communication and operations. It sells its platform as SaaS with industry-specific tools and integrations. Founded in 2008 and headquartered in Lehi, Utah, Weave is a public company listed on the NYSE.