ML Engineer - Voice AI

MobDial; USA; Remote; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Remote work

Zusammenfassung

MobDial is seeking an ML engineer to develop and deploy machine learning for real-time voice applications, combining speech processing with production engineering. The role includes detecting answering machines, analyzing speech and sentiment, and integrating models into a live dialing pipeline.

You will train and deploy detection models with latency targets, build transcription and sentiment pipelines, and optimize inference for edge deployment on serverless functions, collaborating with

Qualifikationen

• At least three years of ML engineering experience including production model deployment.
• Experience processing speech or audio (ASR, TTS, or speaker diarization).
• Proficiency in Python and familiarity with TypeScript.
• Knowledge of model serving tools such as ONNX or TensorRT.

Aufgaben

• Train and deploy answering machine detection models, targeting p99 latency below 3,500 milliseconds.
• Build real-time transcription and sentiment analysis pipelines.
• Develop call-quality scoring models using measures such as MOS and jitter.
• Optimize model inference for edge deployment on serverless functions.
• Work with the platform team to integrate ML capabilities into the dialing pipeline.

Kenntnisse

Python

TypeScript

Production ML deployment

Tools

ONNX

TensorRT

Jobbeschreibung

Role overview

Develop and deploy machine learning for real-time voice applications, combining speech processing with production engineering. The work includes detecting answering machines, analyzing speech and sentiment, evaluating call quality, and integrating models into a live dialing pipeline.

Responsibilities

• Train and deploy answering machine detection models, targeting p99 latency below 3,500 milliseconds.
• Build real-time transcription and sentiment analysis pipelines.
• Develop call-quality scoring models using measures such as MOS and jitter.
• Optimize model inference for edge deployment on serverless functions.
• Work with the platform team to integrate ML capabilities into the dialing pipeline.

Requirements

• At least three years of ML engineering experience, including production model deployment.
• Experience processing speech or audio, such as ASR, TTS, or speaker diarization.
• Proficiency in Python and familiarity with TypeScript.
• Knowledge of model serving tools or formats such as ONNX or TensorRT.

Nice to have

• Published research or substantial open-source contributions.

Benefits and work setup

Full-time, remote role open to candidates globally.