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← PhysicsX

Senior Applied Engineer

PhysicsX
Location
Singapore
Posted
2 months ago
Department
Research
What they actually want (must-haves)
  • Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods
  • Ability to work autonomously and deliver projects across various domains
  • Strong problem-solving skills
  • Excellent collaboration and communication skills
  • MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field
  • Experience in scientific computing
Nice to have
  • >2 years of experience in a data-driven, professional setting
  • Experience in scaling and optimising ML models
  • Experience with distributed computing frameworks (e.g., Spark, Dask)
  • Experience with high-performance computing frameworks (MPI, OpenMP, CUDA, Triton)
  • Experience with cloud computing (AWS, Azure, GCP)
What the job really is

As a Senior Applied Engineer at PhysicsX, you will collaborate with research scientists and simulation engineers to develop AI models that solve complex physics and engineering challenges. Your role involves designing and building scalable physical foundation models, transforming prototypes into optimized implementations, and translating research findings into reusable libraries and products. You will also mentor colleagues and engage with customers to discuss the implications of your work.

Benefits
  • Opportunity to help shape an AI-native engineering company
  • Work with a high-caliber, collaborative team
  • Flat structure that encourages questioning assumptions
  • Hybrid work model for flexibility
Things to weigh
  • No salary listed
  • Focus on deep learning and probabilistic methods may limit exposure to other areas of machine learning
  • Expectations for mentorship and collaboration may require strong interpersonal skills
Job score2.4/5
Benefits2/5
Freshness1/5
Career value5/5
Role clarity4/5
Pay transparency0/5

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