Speech Software Engineer

ASAPP

. Tune and optimize ASR and TTS models for real-world call center environments .

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $215,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in tuning and optimizing ASR and TTS models for real-time applications, with a strong focus on improving transcription accuracy and managing low-latency, high-concurrency systems. Proficient in deploying ML services and collaborating with cross-functional teams to enhance voice infrastructure and ensure compliance with regulatory standards.

Highest-signal resume keywords

ASR And TTS SystemsGolang Or PythonLow-Latency Systems DesignKubernetes And DockerSpeech Quality Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Performance EvaluationNoise Reduction TechnologiesSpeech Model TuningStreaming Data HandlingAudio FundamentalsConcurrency ManagementEvent-Driven SystemsSpeech Enhancement TechniquesMedia Stream HandlingStructured Experimentation

Tools & Technologies

AWSGCPAzureML ToolingMonitoring Tools

Industry Keywords

Voice InfrastructureTelephony ProvidersRegulatory Voice-Data StandardsWERCERMOSDiarizationEcho CancellationForced Alignment TechniquesReal-Time Audio Streams

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonGo

About the role

Key responsibilities & impact

Tune and optimize ASR and TTS models for real-world call center environments
Improve transcription accuracy, noise robustness, speaker variability, speech naturalness, prosody, pacing, pronunciation, and conversational flow
Balance latency and quality tradeoffs in streaming speech pipelines
Evaluate and integrate noise suppression, voice activity detection, and diarization technologies
Architect and modernize scalable, highly available voice infrastructure
Build multithreaded, low-latency server frameworks handling thousands of concurrent real-time audio streams
Design and operate streaming ASR → LLM → TTS pipelines for live AI-driven customer conversations
Develop robust media stream handling between telephony providers, clients, and ML services
Define speech quality evaluation frameworks using WER/CER analysis, latency tracking, and perceptual TTS metrics
Build monitoring tools and dashboards to detect production regressions
Create load-testing and simulation tools for high-concurrency voice traffic
Partner with Speech Scientists and ML Researchers to productionize ASR and TTS models
Work with Security and Compliance teams on enterprise and regulatory voice-data standards
Collaborate with Product teams to translate conversational quality requirements into measurable improvements

Requirements

What you’ll need

5+ years of software engineering experience building and operating production-grade distributed systems
Strong proficiency in Golang or Python, or willingness to become an expert quickly
Experience designing low-latency, high-concurrency systems, ideally involving real-time media or streaming data
Practical experience working with ASR and/or TTS systems in applied or production environments
Understanding of adapting and tuning speech models for domain-specific use cases
Familiarity with WER, CER, MOS, latency, and streaming stability metrics
Strong understanding of audio fundamentals, including sample rates, Opus and G.711 codecs, buffering, packet loss, and jitter
Experience evaluating model performance and running structured experiments to improve transcription accuracy and speech naturalness
Comfort with modern ML tooling and model APIs for fine-tuning, adapting, or post-processing speech model outputs
Ability to balance model quality, compute cost, and real-time constraints
Experience with noise reduction, echo cancellation, VAD, diarization, or other speech enhancement technologies
Familiarity with forced alignment techniques or phoneme/word-level timing models
Hands-on experience deploying ML services with Kubernetes, Docker, and AWS, GCP, or Azure
Knowledge of event-driven and asynchronous systems, including async I/O, event loops, and streaming frameworks
Experience analyzing large-scale speech or conversation datasets

Benefits

Comp & perks

Performance bonus
Equal opportunity employment
Disability assistance during the application process