Staff Machine Learning Engineer, Gen AI | Voice & Speech

Company: Weave

Location: US Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-08-10

About this role

Weave is looking for a Staff GenAI 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...

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