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2 months ago

Senior Applied Engineer

Work format
hybrid
Work type
fulltime
Grade
senior
English
b2
Country
Singapore
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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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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