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Member of Technical Staff, Machine Learning (AI)

Формат работы
remote (только Singapore)
Тип работы
fulltime
Английский
b2
Страна
Singapore
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) (Python/PyTorch/JAX): Building and improving production machine learning 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, maintaining data pipelines, debugging production incidents, and optimizing latency, cost, reliability, and safety on GPU-based systems.

Location: Remote, Singapore

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 machine learning components across data, training, evaluation, and inference.
  • Fine-tune and adapt models within larger production systems.
  • Implement evaluation and testing to understand model behavior and improve reliability.
  • Build and maintain pipelines for real-world and synthetic data.
  • Debug model issues, performance problems, and production incidents.
  • Ship iterative improvements while collaborating with senior ML engineers and product teams.

Requirements

  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience training, fine-tuning, or deploying machine learning models.
  • Production-quality Python programming skills and willingness to learn new tools quickly.
  • Experience or familiarity with PyTorch, JAX, and production ML systems running on GPUs.
  • Ability to work through ambiguity, develop ownership, and improve systems through iteration.

Culture & Benefits

  • Work with a small, high-talent-density, hands-on team.
  • Balance rapid execution with high-quality delivery and continuous learning.
  • Operate under real production constraints, including latency, cost, reliability, and safety.
  • Collaborate with engineering, product, and research teams.

Hiring process

  • Complete three, or no more than four, interviews if there is a potential fit.
  • Interviews are conducted through virtual meetings and/or onsite meetings.
  • Applications are evaluated by technical team members, with decisions made promptly.

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