Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$160к-225к/год
$190к$210кмедиана$230к
По похожим ролям (50) ~ $210к/год
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Роль четко сосредоточена на аудио- и NLP-моделях для production с ответственностью за весь цикл разработки; требование разрешения на работу в США ограничивает круг тех, кому она доступна.
Только с правом на работу в США
Актуальный стек AI
Полный цикл разработки
Разработка в сфере AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI/ML Engineer (Audio and NLP) (Whisper/Transformers): Building speech, audio, and language models for noisy real-world environments, from research and fine-tuning through low-latency production inference, with an accent on model quality, evaluation, and reliable deployment. Focus on designing evaluation frameworks, curating domain-specific datasets, and integrating live model insights into applications supporting critical real-time decisions.
Location: Hybrid role based in Arlington, VA, United States
Base salary: $160,000–$225,000 per year, plus eligible performance bonuses and stock options.
Company
hirify.global is an AI and optimization company building software for complex operational environments, combining real-time communications, computer vision, audio intelligence, NLP, navigation, geospatial data, optimization, and secure cloud infrastructure.
What you will do
Develop audio, speech, and NLP models using Whisper and transformer architectures.
Own models from research through production, including data preparation, fine-tuning, evaluation, metrics, and inference.
Build low-latency production inference pipelines for transcription, audio-event detection, and language understanding.
Design evaluation frameworks and curate training and evaluation datasets.
Collaborate with backend, mobile, and product engineers to integrate model outputs into reliable real-time applications.
Requirements
5+ years of professional machine learning experience.
Strong experience with speech, audio, or NLP models.
Experience with Whisper and/or transformer-based models.
Strong Python and PyTorch skills.
Experience fine-tuning and evaluating models.
Experience deploying models to production.
Legally authorized to work in the United States.
Nice to have
Experience with streaming or real-time speech recognition.
Experience with audio-event detection or speaker diarization.
Experience optimizing inference with ONNX, TensorRT, or quantization.
Experience with LLMs and retrieval systems.
Experience in defense, public safety, or high-security environments.
Culture & Benefits
Health, dental, and vision coverage.
Performance bonus opportunities and stock options.
Flexible work environment with significant technical ownership.
Direct influence over product and architecture decisions.
Opportunities to work across AI/ML, distributed systems, computer vision, audio, NLP, navigation, optimization, and real-time infrastructure.
Collaborative engineering environment with direct visibility into company and product strategy.
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