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Staff Machine Learning Engineer, Gen AI | Voice & Speech

WeaveUS RemoteTechnology
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
10 Aug 2026
Status
Open · checked 8d ago

About this role

Role Overview

The Staff Machine Learning Engineer, Gen AI | Voice & Speech position at Weave is a strategic technical leadership role focused on designing and scaling audio and voice-driven artificial intelligence applications for healthcare practices across the United States. This remote position suits an experienced machine learning expert who can bridge the gap between advanced artificial intelligence and practical, customer-facing product development within distributed cloud environments.

Key Responsibilities

Design and develop machine learning infrastructure, tooling, and models to help teams deliver world-class experiences.
Build internal and external products and platforms that enable engineering teams to integrate artificial intelligence seamlessly into customer-facing features.
Translate high-level product goals into actionable engineering plans while building scalable, resilient services for event processing and data integration.
Consult with product and development teams on data lifecycles, common machine learning patterns, and technical tradeoffs.
Monitor industry advancements to identify genuine strategic value and shape company-wide standards for distributed systems reliability and observability.
Actively mentor senior and staff engineers, elevate architectural thinking, and build lasting organizational capability.

Requirements

15+ years of experience in Machine Learning or Artificial Intelligence, with a specific focus on audio and voice generative artificial intelligence solutions at scale.
Demonstrable experience building and deploying machine learning-driven B2B multi-tenant applications in production environments for external customers.
Deep expertise in distributed systems architecture, building and operating services that handle terabytes of data and hundreds of millions of transactions.
Strong proficiency with modern machine learning tools and techniques, including large language models, retrieval-augmented generation, prompt engineering, fine-tuning, and large-scale audio and voice models.
Extensive background in scalable relational and NoSQL data stores such as PostgreSQL, Vitess, Spanner, Bigtable, and Redis.
Operational experience with cloud-native infrastructure on AWS or GCP, including Kubernetes, infrastructure-as-code, and highly available system design.
Proven track record of leading cross-team technical initiatives and influencing without direct authority to deliver measurable business outcomes.

Nice to Have

Demonstrated expertise with customer-facing generative artificial intelligence at scale in production.
Experience building low-latency, high-accuracy artificial intelligence agents.
Background working in compliance-heavy regulated environments such as healthcare or fintech.
History of external technical leadership through open source contributions, conference speaking, or published technical writing.

Skills and Tools

AWS and GCP cloud infrastructure
Kubernetes and Infrastructure-as-Code
Large Language Models (LLMs) and RAG
Fine Tuning and Prompt Engineering
Voice and audio generative AI models
PostgreSQL, Vitess, Spanner, Bigtable, and Redis
MLOps and distributed systems

About the Company

Weave builds communication and operational software platforms that serve over 30,000 healthcare practices, supporting core data and intelligence capabilities like Call Intelligence and AI Receptionists. The company fosters an inclusive, equal opportunity workplace committed to supporting individuals from all backgrounds and provides reasonable accommodations for candidates with special needs or disabilities.

How to Apply

Please visit the official Weave careers page to submit your application for the Staff Machine Learning Engineer, Gen AI | Voice & Speech role.

Skills and tech stack

AWSGCPKubernetesLLMRAGMLOps

Questions candidates ask

Is this position remote?

Yes, this role is remote and based in the United States.

How many years of experience are required for this role?

The position requires 15+ years of experience in Machine Learning or AI, with a focus on audio and voice generative AI solutions.

What department does this role belong to?

This role is part of the Technology department and reports to the Senior Director of Engineering.

What products does the machine learning team support at Weave?

The team owns and supports products such as Call Intelligence, AI Receptionist, and the core ML Platform used across engineering.

What cloud platforms are utilized in this role?

The role involves operational experience with cloud-native infrastructure on Google Cloud Platform or Amazon Web Services.

Ready to apply?

The application is on the official Weave careers page.

Apply on company site