# Staff Machine Learning Engineer, Gen AI | Voice & Speech

**Company**: Weave
**Location**: US Remote
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/weave/cf9c971d-b348-4929-ac3d-412f11d48673?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cef9f6a2-e54

## Description

Weave is looking for a Staff GenAI Engineer to join the Machine Learning Team specialised in voice and audio modalities. 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 the engineering organisation to incorporate AI into their features seamlessly. Your success is measured by the scalability of the ML infrastructure and the ability of product teams to deliver world-class, AI-driven experiences to 30,000+ healthcare practices.

The Data Fellowship encompasses multiple engineering teams responsible for Weave's core data and AI/ML capabilities. 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.

**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

**Cross-Team Problem Solving**

- Help product and development teams understand the data lifecycle and consult with teams on common ML patterns and tradeoffs

- 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

- 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 individual contributions

**Requirements**

- 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

- Track record of leading cross-team technical initiatives that delivered measurable business outcomes

- Demonstrated ability to influence without direct authority, build consensus across organisational boundaries, and translate technical tradeoffs into business terms

## Skills

### Required
- Machine Learning
- GenAI
- Voice & Speech
- Distributed Systems Architecture
- Cloud-Native Infrastructure
- Kubernetes
- ML Ops
- LLMs
- RAG
- Prompt Engineering
- Fine Tuning
- PostgreSQL
- Vitess
- Spanner
- Bigtable
- Redis
- GCP
- AWS

### Nice to have
- Customer-facing GenAI
- Low-latency AI Agents
- Audio or Voice GenAI in Production
- Compliance-heavy environments
- External technical leadership

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/weave/cf9c971d-b348-4929-ac3d-412f11d48673?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)