toogeza
toogeza18d ago
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Machine Learning Engineer — Physics AI

EuropeRemotefull-timemid
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

model convergence and final accuracy; training throughput; GPU utilization; CPU and data-loading overhead; storage and network

Technical Tools
Machine Learning EngineerData

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 read
  • →

    Experience training models on simulation or physical-science datasets.

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    Strong practical experience with PyTorch and modern deep-learning workflows.

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    Familiarity with architectures such as:

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      neural operators;

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      mesh GNNs;

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      transformers for physical systems;

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      surrogate models;

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      foundation models for science;

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      PINNs or related methods.

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    Experience with large 3D/4D datasets such as volumetric grids, meshes, point clouds, or spatiotemporal fields.

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    Good understanding of GPU training performance, data loaders, profiling, and distributed training.

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    Strong experimental methodology and ability to design controlled benchmarks.

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    Ability to analyze how numerical approximation and preprocessing affect model quality.

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    Strong Python and scientific-computing skills.

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    Ability to communicate research results clearly in written technical form.

  • Nice to Have

    ~1 min read
    • Experience 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

    Where is the job
    Europe
    Remote within a specific region
    Who can apply
    Europe

    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

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    toogezaMachine Learning Engineer — Physics AI