Machine Learning Engineer — Physics AI
Quick Summary
model convergence and final accuracy; training throughput; GPU utilization; CPU and data-loading overhead; storage and network
We are toogeza, a Ukrainian recruiting company focused on hiring talent and building teams for tech startups worldwide. People make a difference in the big game, and we may help find the right ones.
Currently, we are looking for a Machine Learning Engineer — Physics AI for Zibra AI.
Responsibilities
~1 min readExperience training models on simulation or physical-science datasets.
Strong practical experience with PyTorch and modern deep-learning workflows.
Familiarity with architectures such as:
- →
neural operators;
- →
mesh GNNs;
- →
transformers for physical systems;
- →
surrogate models;
- →
foundation models for science;
- →
PINNs or related methods.
Experience with large 3D/4D datasets such as volumetric grids, meshes, point clouds, or spatiotemporal fields.
Good understanding of GPU training performance, data loaders, profiling, and distributed training.
Strong experimental methodology and ability to design controlled benchmarks.
Ability to analyze how numerical approximation and preprocessing affect model quality.
Strong Python and scientific-computing skills.
Ability to communicate research results clearly in written technical form.
Nice to Have
~1 min readExperience with PhysicsNeMo or similar scientific ML frameworks.
Background in CFD, FEA, climate, turbulence, combustion, or computational physics.
Knowledge of lossy compression, quantization, numerical error analysis, or signal processing.
Multi-GPU or multi-node training experience.
Previous academic publications in ML, scientific computing, compression, or related fields.
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
Location & Eligibility
Listing Details
- Posted
- September 8, 2026
- First seen
- September 26, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 26%
- Scored at
- September 26, 2026
Signal breakdown
Similar Machine Learning Engineer jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.