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Spatial AI Engineer: LLM/VLM Acceleration & 3D Models

PERSOL SINGAPORE PTE. LTD.

Singapore

On-site

SGD 80,000 - 100,000

Full time

21 days ago

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Job summary

A leading AI solutions provider in Singapore is looking for an experienced professional to optimize foundation models and develop advanced 3D algorithms. The ideal candidate holds a PhD in Computer Science and has a strong background in software development, AI frameworks, and model optimization. Responsibilities include enhancing model training and inference processes, as well as working on spatial understanding applications. Competitive salary and opportunities for personal growth offered.

Qualifications

  • At least 2 years of software development experience is required.
  • Understanding of artificial neural networks principles.
  • Familiarity with 3D representations and modeling methods.
  • More than 1 year of experience in software design is preferred.
  • Ability to complete design and development of algorithm modules independently.

Responsibilities

  • Focus on training and inference optimization of foundation models.
  • Develop spatial foundation models focusing on 3D scene generation.
  • Participate in operator fusion and kernel-level optimization.

Skills

Software development experience
Knowledge of data structures
Familiarity with AI algorithms
Proficient in Python/C/C++
Experience with AI frameworks
Research and analysis skills

Education

PhD in Computer Science, Mathematics, or related fields

Tools

PyTorch
TensorFlow
MindSpore
Job description
A leading AI solutions provider in Singapore is looking for an experienced professional to optimize foundation models and develop advanced 3D algorithms. The ideal candidate holds a PhD in Computer Science and has a strong background in software development, AI frameworks, and model optimization. Responsibilities include enhancing model training and inference processes, as well as working on spatial understanding applications. Competitive salary and opportunities for personal growth offered.
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