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2 дня назад

Member of Technical Staff, Machine Learning (AI)

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

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TL;DR

Member of Technical Staff, Machine Learning (AI): Building and improving core ML components for a proactive AI chat application with an accent on production-grade systems, data pipelines, and model evaluation. Focus on training and fine-tuning neural architectures, debugging performance issues, and ensuring reliability under real-world production constraints.

Location: Palo Alto, California (Hybrid)

Company

hirify.global is building a proactive, reliable AI chat application designed to handle long-running workflows and real-world task completion.

What you will do

  • Build and improve ML components across data, training, evaluation, and inference.
  • Fine-tune and adapt models as part of larger production systems.
  • Implement evaluation and testing to understand model behavior.
  • Build and maintain data pipelines for real-world and synthetic data.
  • Debug model issues, performance problems, and production incidents.
  • Ship improvements iteratively based on real user feedback.

Requirements

  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience training, fine-tuning, or deploying ML models.
  • Comfortable writing production-quality code.
  • Ability to work through ambiguity and grow ownership over time.
  • Bias toward shipping, iteration, and continuous improvement.
  • Must be able to work in Palo Alto, California.

Culture & Benefits

  • High talent density and hands-on team environment.
  • Collective decision-making process.
  • Rapid execution and iteration cycles.
  • Emphasis on high-quality, magical product development.
  • Work on real production systems with immediate impact.

Hiring process

  • 3 to 4 total interview sessions.
  • Evaluation by technical team members.
  • Virtual or onsite meetings.

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