Vinci4D.ai
Physics Applications - Researcher
Palo Alto HQ · Exec
Sponsorship not specifiedDetected 41 days ago
Machine LearningPyTorchNumPyNLPComputer VisionFEAManual TestingResearchLeadership
About the role
- These are promising applications where Vinci's approach can not only reduce the compute load but also achieve greater accuracy.
- In this role you will leverage the Vinci framework to work on a variety of novel applications.
- Experiment with temporal propagation schemas, both in the classical and learned sense.
Responsibilities
- Have published work leveraging or building a simulation practice.
- 2+ years using or building physics simulators
- Support global, multi-entity deployment across Tier-1 ecosystems
Requirements
- MS/MSc with 4+ years experience or
- PhD with 2+ years experience
- Working knowledge of modern ML basics
- Experience with some modern ML practices
- Experience going from early stage prototype moving to a production environment at a Startup or National Lab
- Comfort evolving core model infrastructure
Benefits
- Applied machine learning approaches
- Computer Vision, GraphNN, Transformer Architectures
- Expand simulation capabilities to maximize utility and domain coverage
Company info
- Trained on PetaBytes of structured physics data
- Running billion-voxel inference in production
- Tier-1 semiconductor and hardware customers
- Operating across multiple physical scales and operator regimes
- Your north star will be production and delivering value to our customers.
- You will take modest iterative steps to prove out new utility and iterate hand in hand with customers to harden features.
- What We're Looking For
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