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Member of Technical Staff, Machine Learning (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Switzerland
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) (Python/PyTorch/JAX): Building and improving production machine learning components across data, training, evaluation, and inference with an accent on reliable real-world ML systems. Focus on fine-tuning models, building robust data pipelines, debugging production incidents, and optimizing latency, cost, reliability, and safety.

Location: Zurich, Switzerland; hybrid

Company

hirify.global is building proactive AI-native applications that help people 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 larger production systems.
  • 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 ML engineers, product, engineering, and research teams to ship reliable ML-powered features.

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 new tools, and grow ownership over time.
  • Bias toward shipping, iteration, and continuous improvement.

Culture & Benefits

  • Work on real production ML systems running on GPUs from day one.
  • Collaborate in a small, high-talent-density, hands-on team.
  • Balance rapid delivery with high-quality engineering and continuous learning.
  • Interviews are conducted via virtual meetings and/or onsite.
  • The hiring process includes three, or no more than four, interviews followed by a prompt decision.

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