Назад
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7 дней назад

AI Engineering Lead

280 000 - 380 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
AI Engineering Lead (LLMs/Multimodal Video): Shipping and optimizing AI/ML models for video applications with an accent on post-training, model evaluation, inference performance, and user-feedback data flywheels. Focus on building production-scale multimodal systems, balancing quality, latency, reliability, and infrastructure cost, and leading a high-performing AI engineering team.

Location: Mountain View, United States; on-site

Salary: $280,000–$380,000 per year, plus potential equity and bonus

Company

hirify.global develops an AI video agent that helps creators and businesses enhance their social media presence through video.

What you will do

  • Ship AI/ML models from prototype to production at scale.
  • Lead model post-training, including fine-tuning, preference optimization, evaluation, and learning from user feedback.
  • Build data flywheels that convert user behavior and feedback into training data and continuous model improvements.
  • Optimize inference for self-hosted models, focusing on latency, throughput, GPU utilization, quantization, and serving cost.
  • Set the technical roadmap, review architecture, mentor engineers, and manage a small AI team.
  • Make pragmatic build-versus-buy decisions across proprietary APIs, open-source models, and internally trained models.

Requirements

  • Proven experience deploying AI/ML models to production at scale.
  • Deep expertise in model post-training and model evaluation, including offline benchmarks, human evaluation, online experiments, and product-quality metrics.
  • Strong experience optimizing inference for self-hosted models.
  • Practical experience applying LLMs or multimodal models to video applications such as highlight detection, content curation, ranking, personalization, or editing decisions.
  • Familiarity with vision-language models, ASR/transcription, video understanding, and video enhancement or upscaling.
  • Experience setting technical direction and some people-management experience.

Nice to have

  • Experience with consumer video, creator tools, recommendation or content systems, or other high-scale multimodal products.

Culture & Benefits

  • Work with a team of AI enthusiasts and video experts.
  • Company values include championing teamwork, ruthless prioritization, fast shipping, and customer focus.
  • Compensation may include equity and discretionary bonuses or incentives.
  • Benefits vary depending on the employment arrangement and country of work.

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