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20 часов назад

Member Of Technical Staff, Machine Learning (AI)

Формат работы
remote (только China)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
China
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

Member of Technical Staff, Machine Learning (AI): Building core ML components for a proactive smart assistant with an accent on production-grade model fine-tuning, evaluation, and inference systems. Focus on solving real-world challenges in latency, reliability, and multi-step reasoning to deliver AI-native workflows for everyday users.

Location: Must be based in China (Beijing)

Company

hirify.global is a high-talent density team building an AI-native proactive smart assistant designed to automate everyday tasks for billions of users.

What you will do

  • Build and improve ML components across data, training, evaluation, and inference.
  • Fine-tune and adapt models for integration into larger production systems.
  • Implement rigorous evaluation and testing to monitor model behavior.
  • Develop and maintain robust data pipelines for real-world and synthetic data.
  • Debug production incidents, performance bottlenecks, and model issues.
  • Collaborate with senior engineers and product teams to ship iterative improvements.

Requirements

  • Must be based in China
  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience training, fine-tuning, or deploying ML models.
  • Proficiency in Python and deep learning frameworks like PyTorch or JAX.
  • Experience working with production ML systems running on GPUs.
  • Ability to write production-quality code and work through ambiguity.

Culture & Benefits

  • Work in a small, world-class team with high talent density.
  • Focus on rapid iteration, collective decision-making, and high-quality shipping.
  • Opportunity to work on real-world production systems from day one.
  • Emphasis on transparency, efficiency, and continuous learning.

Hiring process

  • Applications are evaluated by technical team members.
  • Process consists of 3 to 4 interviews conducted via virtual meetings or onsite.

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