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3 дня назад

Senior AI/ML Engineer (Audio and NLP)

160 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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