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1 день назад

Senior Applied Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Applied Engineer (AI): Deliver AI models for real-world physics and engineering problems, building physical foundation models and scaling training on multi-GPU cloud compute. Focus on translating research prototypes into robust, scalable implementations and integrating results into reusable libraries, tooling, and products.

Location: Singapore

Company

hirify.global builds an AI-driven simulation software stack for engineering and manufacturing across advanced industries.

What you will do

  • Collaborate with research scientists, simulation engineers, customers, and partners to deliver AI models for real-world physics and engineering problems.
  • Design and build physical foundation models, scaling model training efficiently on multi-GPU cloud compute.
  • Turn research prototypes into robust, optimized implementations by challenging architecture decisions that hurt scalability.
  • Select the best libraries, frameworks, and tools to enable successful model development and deployment.
  • Own research work-streams at different levels depending on seniority.
  • Translate research outputs into reusable libraries, tooling, and products, bridging data science and software engineering.

Requirements

  • Strong interest in developing machine learning solutions, especially deep learning and/or probabilistic methods, plus supporting science/engineering software.
  • Ability to work autonomously and scope effectively to deliver projects across multiple engineering domains.
  • Strong problem-solving skills to analyze issues, identify causes, and recommend solutions quickly.
  • Experience with scientific computing and/or high-performance computing (CPU/GPU clusters) and/or parallelized/distributed training for large/foundation models.
  • Experience scaling and optimizing ML models and training/serving foundation models at scale (federated learning is a bonus).
  • MSc or PhD in a relevant field (computer science, machine learning, applied statistics, mathematics, physics, engineering, or software engineering) or a closely related discipline.

Culture & Benefits

  • Hybrid model with time together in the Shoreditch office and work-from-home days.
  • Equity options and a 10% employer pension contribution.
  • Private medical insurance (100% employee cover) and Wellhub subscription.
  • 25 days annual leave plus public holidays, enhanced parental leave, and a nursery scheme.
  • Personal development support, EAP wellbeing support, and office lunches.

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