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Staff ML - GenAI Engineer, Voice & Speech

WeaveIndiaTechnology
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
6 Aug 2026
Status
Open · checked 7d ago

About this role

Weave is hiring a remote Staff ML-GenAI Engineer specializing in voice and speech to help build cutting-edge AI-powered applications in India. This full-time role is ideal for an experienced technical leader who wants to bridge the gap between advanced machine learning and practical, customer-facing products.

Role Overview

As a Staff Machine Learning Engineer focusing on voice and audio modalities, the candidate will be at the forefront of enabling product innovation at Weave. This position involves designing how cross-functional agile teams build out AI-driven features, making machine learning approachable and data easier to discover. Reporting to the Manager of Machine Learning, the engineer will work within a fully remote setup in India with required schedule overlap for India and US business hours.

Key Responsibilities

Design and develop machine learning infrastructure, tooling, and models to deliver world-class customer experiences.
Build internal products and platforms that empower development teams to incorporate AI into customer-facing products.
Consult with teams on machine learning patterns, anti-patterns, tradeoffs, and end-to-end customer experiences.
Build scalable, resilient services supporting data integration, event processing, and platform extensions.
Write clean, performant, sustainable, and testable code while contributing to large-scale data and traffic handling.
Coach and collaborate with team members, sharing expertise and encouraging best practices.
Work in cloud environments using distributed components, translating product goals into actionable engineering plans.

Requirements

15+ years of experience in Machine Learning or AI, focusing on audio and voice generative AI solutions at scale.
Deep expertise in modern machine learning tools and techniques, including LLMs, RAG, prompt engineering, fine-tuning, and high-scale audio/voice models.
Experience moving and storing terabytes of data or processing hundreds of millions to billions of records.
Experience building and deploying ML-driven B2B multi-tenant applications in production for external customers.
Proficiency with common machine learning technologies such as Python, Jupyter, workflow engines, DVC, Triton Server, and Postgres.
Understanding of distributed systems, scalable services, and public clouds like AWS and GCP.
High integrity, strong bias for action, and demonstrated leadership or mentorship capacity.

Nice to Have

Background in data analysis, visualization, and presentation.
14+ years of experience in engineering, systems coding, and system design.
Experience with low-latency natural language models, real-time audio models, and transcription or speech synthesis pipelines.
Familiarity with emerging technologies such as Model Context Protocol and containers like Kubernetes or GKE.
Experience with sensitive data such as PHI and PII, GitOps, IaC, and open-source solutions.

Skills and Tools

Python
AWS and GCP
Kubernetes
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Fine-tuning and Prompt Engineering
Triton Server and Postgres

About the Company

Weave offers autonomous, cross-functional agile teams the opportunity to build products that impact hundreds of millions of people daily. The company values an inclusive workplace where individuals are supported and encouraged to problem-solve, learn, and progress.

How to Apply

Interested candidates should visit the official Weave careers page to apply for this remote position.

Skills and tech stack

PythonAWSGCPKubernetesLLMRAG

Questions candidates ask

Is this job remote?

Yes, this is a fully remote opportunity based in India with an expectation to overlap with India and US business hours.

What department does this role belong to?

This role belongs to the Technology department and reports to the Manager of Machine Learning.

How many years of experience are required?

Candidates must have 15+ years of experience in Machine Learning or AI, with a specific focus on audio and voice GenAI solutions at scale.

What technologies and tools are expected?

Required technologies include Python, AWS, GCP, Kubernetes, LLMs, RAG, prompt engineering, fine-tuning, and Triton Server.

What are the core duties of the Staff ML Engineer?

Duties include designing ML infrastructure and models, building internal AI platforms, consulting with development teams, and creating scalable and resilient services.

Ready to apply?

The application is on the official Weave careers page.

Apply on company site