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Senior ML - GenAI Engineer, Voice & Speech

WeaveUS RemoteTechnology
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
2 Apr 2026
Status
Open · checked 7d ago

About this role

Role Overview

Weave is seeking a Senior ML - GenAI Engineer, Voice & Speech to design and build scalable machine learning models and infrastructure for cutting-edge product features. This full-time position is fully remote across the United States, with an option to work out of the Lehi, Utah headquarters for nearby candidates. It is an ideal fit for an experienced engineer who thrives in autonomous, cross-functional agile teams and wants to help democratize artificial intelligence technology.

Key Responsibilities

Design and develop machine learning infrastructure, tools, and models that empower product teams to deliver exceptional customer experiences.
Build scalable and resilient services to support platform extensions, event processing, and data integration in a cloud environment.
Consult with development teams to establish best practices, identify anti-patterns, and navigate the tradeoffs of machine learning integration.
Construct internal products and platforms that simplify the incorporation of artificial intelligence into customer-facing applications.
Write testable, performant, and sustainable code while taking full accountability for output quality.
Collaborate closely with stakeholders to translate product goals into actionable engineering strategies.
Mentor and coach teammates, sharing technical expertise to foster continuous growth and team success.

Requirements

Bring at least 5 years of professional experience working with structured back-end programming languages such as Python or Java.
Demonstrate practical experience moving and storing terabytes of data or processing hundreds of millions to billions of records.
Possess a track record of building and deploying machine learning-driven, multi-tenant B2B applications in production settings.
Familiarity with common machine learning technologies like Python, Jupyter, workflow engines, Triton Server, LLMs, and Postgres.
Experience utilizing modern machine learning techniques including Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and multi-modal models.
Understanding of distributed systems alongside the ability to build scalable, observable, and redundant services.
Experience delivering solutions on public cloud platforms such as AWS or GCP.

Nice to Have

Background in data analysis, visualization, and presentation.
Three or more years of dedicated experience in data science, machine learning, or predictive analytics.
Practical knowledge of natural language models, embeddings, and inference in production at scale.
Experience with real-time audio models and voice use cases including transcription, Automated Speech Recognition pipelines, and speech synthesis.
Familiarity with containers and orchestrators at scale, specifically Kubernetes, GKE, or the Operator Pattern.
Experience handling highly sensitive data such as Personally Identifiable Information and Protected Health Information under compliance standards.

Skills and Tools

Python
Java
AWS and GCP
Kubernetes
RAG and LLMs
Postgres

About the Company

Weave provides a comprehensive platform focused on helping businesses manage customer interactions seamlessly. The company champions a collaborative and inclusive workplace culture where autonomous teams can innovate quickly, experiment responsibly, and drive meaningful impact for clients across various industries.

How to Apply

Interested candidates should visit the official Weave careers page to submit an application and view further details regarding the hiring process.

Skills and tech stack

PythonAWSGCPKubernetesJavaRAG

Questions candidates ask

Is this position fully remote?

Yes, this role is fully remote within the United States, with an optional opportunity to work from the Lehi, Utah headquarters if desired.

What level of experience is required for this role?

Candidates must have 5 or more years of experience in a structured back-end programming language, alongside production experience with machine learning-driven applications.

What specific cloud platforms are utilized?

The engineering work involves building solutions to run on public cloud providers such as AWS and GCP.

What kind of machine learning techniques will I work with?

You will work with modern artificial intelligence methods including Large Language Models, Retrieval-Augmented Generation, prompt engineering, fine-tuning, and voice or speech technologies.

How should I submit my application?

All applications must be submitted directly through the official Weave company careers page.

Ready to apply?

The application is on the official Weave careers page.

Apply on company site