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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 (Python/PyTorch/JAX): Building and improving production ML components across data, training, evaluation, and inference with an accent on reliable long-running workflows, persistent context, and real-world task completion. Focus on fine-tuning models, designing robust data pipelines, debugging production incidents, and optimizing latency, cost, reliability, and safety.

Location: Remote, China; address in Beijing, China. Interviews may be conducted virtually or onsite.

Company

Building proactive AI-native applications that help users manage conversations, errands, organization, and workflows with minimal prompting.

What you will do

  • Build and improve ML components across data, training, evaluation, and inference.
  • Fine-tune and adapt models within production systems running on GPUs.
  • Implement evaluation and testing to understand model behavior.
  • Build and maintain pipelines for real-world and synthetic data.
  • Debug model issues, performance problems, and production incidents.
  • Collaborate with senior ML engineers and product teams to ship iterative improvements.

Requirements

  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience training, fine-tuning, or deploying ML models.
  • Production-quality Python development skills.
  • Experience or familiarity with PyTorch or JAX.
  • Ability to work through ambiguity, learn quickly, and grow ownership over time.
  • Bias toward shipping, iteration, and continuous improvement.

Culture & Benefits

  • Work with a small, high-talent-density, hands-on team.
  • Make decisions collectively while moving at a rapid pace.
  • Balance high-quality delivery with learning from real production systems and user feedback.
  • Work on practical AI products intended for users worldwide.
  • Expect a prompt hiring decision after three, and no more than four, interviews.

Hiring process

  • Applications are evaluated by technical team members.
  • Complete three, and no more than four, interviews via virtual meetings and/or onsite sessions.
  • Successful candidates receive a prompt offer decision.

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