# Principal ML - GenAI Engineer - Speech / Voice AI at Weave > Remote · United States · Principal · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Aweave%3Ae65e2365-1f1b-4c0b-8d27-cb7e0650a2ba (read 2026-11-07). ## Facts (observed) - Company: [Weave](https://alderhq.app/companies/weave) - Location text: US Remote - Where it can be done from (inferred): Remote · United States (evidence: "Location: US Remote") - Posted: 2026-08-07 (92 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/weave/e65e2365-1f1b-4c0b-8d27-cb7e0650a2ba - Skills listed (inferred): PostgreSQL, Redis, AWS, GCP, Kubernetes, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United States, n 71): p25 $216k, median $280k, p75 $325k ## Description (the employer's text) Weave is looking for a Principal Engineer to join the Machine Learning Team specialised in voice and audio modalities, where you will be at the forefront of enabling product innovation and building AI-powered applications. In this role, you will help design how teams across Weave build out AI-powered features, serving as a technical leader who bridges the gap between sophisticated machine learning and practical, customer-facing products. As a technical cornerstone, you will design the platforms that allow our engineering organisation to incorporate AI into their features seamlessly. Your success is measured by the scalability of our ML infrastructure and the ability of our product teams to deliver world-class, AI-driven experiences to 30,000+ healthcare practices. This is a strategic leadership position requiring deep expertise in MLOps and GenAI. You will consult with teams on common ML patterns and tradeoffs, ensuring that our technical strategy for data and intelligence positions Weave as a leader in the healthcare communication space. The Data Fellowship encompasses multiple engineering teams responsible for Weave's core data and AI/ML capabilities. We own or support products such as Call Intelligence and AI Receptionist,t as well as the ML Platform used by all other engineering teams at Weave. You will work across these teams as a technical leader, partnering with Engineering Managers, Staff Engineers, and cross-functional stakeholders to drive architectural coherence and strategic technical initiatives. • This position is remote (US-based). • Reports to: Sr Director of Engineering ### What You Will Own ### Infrastructure & Delivery Design and develop ML infrastructure, tooling, and models to help teams deliver world-class experiences Build internal and external products and platforms to enable teams to incorporate AI into their features and customer-facing products. Translate product goals into actionable engineering plans and build scalable, resilient services for data integration and event processing.g ### Cross-Team Problem Solving Help product and development teams understand the data lifecycle and consult with teams on common ML patterns/tradeof.fs. Coach and collaborate inside and outside the team to elevate technical standards Write high-quality, performant, sustainable, and testable code while working in a cloud environment. ### Strategic Technical Leadership Monitor the industry landscape, anticipate where technological advances are heading, and ensure Weave stays ahead of the curve.e Cut through noise and hype to identify genuine strategic value; advocate for and lead key initiatives that prepare Weave for emerging challenges Shape company-wide standards for engineering excellence, observability, and reliability in distributed systems. ### Mentorship & Organisational Capability Actively mentor Staff and Senior Engineers across the fellowship, developing the next generation of technical leaders Elevate architectural thinking across teams through design reviews, documentation standards, and hands-on guidance Build organisational capability that persists beyond your individual contributions ### What You Will Need to Accomplish the Job 12+ years of software engineering experience with progressive technical leadership scope Demonstrable experience building and deploying ML-driven B2B multi-tenant applications in production environments at scale for external products and customers Deep expertise in distributed systems architecture, including building and operating services that handle hundreds of millions of transactions and terabytes of data 15+ years of experience in Machine Learning or AI, with a focus on or expertise in audio and voice GenAI solutions at scale Deep expertise with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, and specifically high-scale audio/voice models and LLM evaluations Strong background in scalable data stores—both relational (PostgreSQL at scale, Vitess, Spanner) and NoSQL (Bigtable, Redis, etc.) Operational experience with cloud-native infrastructure on GCP or AWS, including Kubernetes, infrastructure-as-code, and highly available system design --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aweave%3Ae65e2365-1f1b-4c0b-8d27-cb7e0650a2ba and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.