Voice Recognition

Voice Recognition Engineer Jobs

2 jobs found

Today

Audio AI Engineer

Dev Technology Reston, VA

Reston, VA

Today

$80k - $160k/yr Full time Ai Engineer Artificial Intelligence Asr

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Job Description

Dev Technology is building a multilingual audio foundation to power a mobile translation experience that runs performantly on an iPhone. In this onsite role in Reston, VA, you will develop and improve a speech-to-text core, with ownership spanning multilingual ASR data, model adaptation for constrained devices, and reproducible evaluation of real-world quality.

What you’ll do

Ingest, clean, segment, label, and version multilingual audio and transcript datasets, with specific attention to code-switching and borrowed-word behavior across the target language set.
Fine-tune and compress large ASR models to meet iPhone-class memory, latency, and battery constraints while preserving transcription quality, using approaches such as LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as needed.
Create model packaging that supports selecting and downloading language-specific weights on demand based on operator context (for example, pulling only Chinese ASR weights for a Chinese-speaking interview).
Build model behavior and evaluation around when to transcribe a borrowed English term as-is versus rendering it via transliteration or a native equivalent in the source language.
Develop reproducible evaluation pipelines that measure word/character error rate, latency, and robustness to factors including accent, noise, speaking rate, and code-switching, and report results against defined success criteria per language and deployment target.
Write clear model cards, dataset documentation, and evaluation write-ups so both technical and non-technical stakeholders can understand model purpose, comparisons, and known risks and limitations.

Requirements

Bachelor’s degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field.
Strong data-engineering experience building production pipelines for large, messy, or unstructured audio and text datasets.
Hands-on experience fine-tuning or adapting speech/audio models using parameter-efficient methods (LoRA, QLoRA, adapters) and/or compression techniques (quantization, distillation, pruning) for constrained hardware.
Practical experience developing and evaluating ASR/speech-to-text models across multiple languages, including error analysis under real-world conditions such as accents, noise, and code-switching.
Strong Python and SQL skills, with experience using tools such as PyTorch, Hugging Face Transformers/PEFT, torchaudio, and librosa.
Experience deploying and monitoring production ML systems, including secure handling of sensitive audio, transcripts, and derived data in a regulated environment.
Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders.

Technologies

Python, SQL, PyTorch
Hugging Face Transformers, PEFT
torchaudio, librosa
LoRA, QLoRA, quantization, distillation, pruning
iPhone, iOS, Swift, AVFoundation

Role scope

This position owns the speech-to-text model: its data, training/adaptation, on-device size and latency, and transcription accuracy across languages.
It does not own iOS application development, translation (source-language-to-target-language), or the Swift/AVFoundation integration layer; those are handled by a separate mobile engineering function, with close collaboration.

Salary and location

USD 80,000 - 160,000 per yearly

Reston, VA (onsite)

Benefits

Generous and flexible time-off policy
Flexible work schedules and telework options, including remote work availability for eligible projects
Career development opportunities: mentorship program, Dev University technical and management training, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
Industry-leading benefits including a choice of two health plans with dental and vision, flexible spending account, commuter benefits, life insurance, and more
401K matching with a 5% matching contribution
Regular team and company social events including an annual party, happy hours, fitness challenges, and more
Community engagement support, including employer match for donations and time off for volunteer efforts

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1d ago

Sr. Machine Learning Engineer

AppFolio Atlanta, GA

Atlanta, GA

1d ago

$167k - $209k/yr Full time Senior Agentic Ai Artificial Intelligence

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Job Description

AppFolio is seeking a Senior Machine Learning Engineer to design and ship voice and conversational AI agents within Realm-X. This role will define production-grade voice and chat agent pipelines, with a focus on balancing LLM reasoning quality against low-latency streaming across multi-channel customer experiences.

Responsibilities

Architect and deliver voice and text agent pipelines for real-time, multi-turn customer interactions.
Evaluate and implement principled trade-offs between reasoning depth and latency using frontier LLMs, smaller models, and routing strategies.
Lead a small pod of ML and platform engineers, strengthening standards for agent evaluation, observability, and incident response.
Collaborate with Product and Voice channel teams to define KPIs, build evaluation harnesses, and establish agent acceptance criteria focused on quality.
Drive selective Small Language Model (SLM) fine-tuning and inference optimization to improve voice latency and control cost.

Requirements

Deep, production experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
Hands-on experience with voice systems, including Voice-to-Voice models and traditional TTS/STT pipelines, with clear understanding of end-to-end voice models versus modular STT LLM TTS architectures.
Strong knowledge of LLM reasoning behavior, tool use, structured output, and reasoning-versus-latency trade-offs across model providers.
Production experience with Twilio (or comparable telephony) and AWS.
Expertise in Python, async programming, and WebSockets to support real-time, bidirectional streaming.
Solid foundation in deep learning, model evaluation, and inference optimization, including the ability to deploy with Docker on AWS.
Proven ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Demonstrated experience shipping production AI agents serving real users in voice and/or text channels.
Systems thinking, with the ability to reason about pipelines and end-to-end behavior beyond model development.
Ability to move quickly while maintaining sound engineering judgment.
Collaborative, low-ego working style, focused on elevating teammates.
Values work-life balance as a foundation for sustained high performance.

Technologies

LangChain, LangGraph, LangSmith, LangChain Deep Agents
Voice-to-Voice models, TTS, STT
Twilio, AWS
Python, async programming, WebSockets
Docker
LLM, Small Language Model (SLM)
RAG

Benefits

Regular full-time employees are eligible for benefits
#LI-KB1

Nice to Have

Experience fine-tuning Small Language Models for domain-specific voice applications.
Familiarity with RAG over structured business data and tool-using agents over API surfaces.
Prior experience in regulated or customer-facing industries with strict reliability requirements.
Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.

Location

Atlanta, GA (onsite)

Find out more about our locations by visiting our site.

Compensation & Benefits

The compensation that we reasonably expect to pay for this role is USD 167,200 - 209,000 base pay.
The actual compensation will be determined by factors including skills, education, experience, and internal equity.
Compensation is one component of a comprehensive Total Rewards package.
The compensation range does not include additional benefits or any discretionary bonuses that may be available based on role and/or employment type.

Regular full-time employees are eligible for benefits - see here.

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Voice Recognition Engineer Jobs

Audio AI Engineer

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