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Internship

@ Veeda AI

Toutes ses offres Site Web

Toronto, Ontario

HybrideTemps plein
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SIGNAUX

En bref

Veeda AI is hiring an intern to build multimodal foundation world models for Physical AI. The intern owns one scoped project in an area such as ML Performance, AI Infrastructure, Robotics or World Models, working on real repositories, clusters and data.

Responsabilités :

  • Own one scoped project with a mentor
  • Ship a reusable dataset, benchmark, evaluation or tool
  • Work on real repositories, clusters and data
  • Write up findings and next steps

Résumé des exigences :

  • Bachelor's degree or equivalent hands-on experience, or currently pursuing one
  • Depth in machine learning or systems fundamentals
  • Fluent Python and end-to-end system experience
  • Named focus area with a concrete project plan

Outils et compétences

Megatron-CoreIsaac LabRay Data
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-08-19
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-22

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineRecherche et sciences
Heures par semaine40 (estimé)
Milieu de travailBureau, Laboratoire
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Veeda AI

Profil d’entreprise sauvegardé

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Scaling Physical AI through Interactive Learning in Simulated Reality

Description complète de l’entreprise

Scaling Physical AI through Interactive Learning

Personnes associées sur LinkedIn
3
Autres noms enregistrés
  • Veeda AI
Le profil indique une agence de recrutement
Non
Toutes ses offres Site Web

Scaling Physical AI through Interactive Learning

ChampValeur
SecteurArtificial Intelligence
Taille11-50 employees
Type d’organisationPrivately Held
Fondée en2026
Offres sur Jobsy9
LinkedInVoir la page
Description

ABOUT US

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

RESPONSIBILITIES

  • Own one scoped project in a single area — ML Performance, AI Infrastructure, ML Operations, Data, Robotics, Simulation, or World Models — with a mentor and a deliverable agreed in week one.

  • Representative Projects: Profile a step-time regression in a Megatron-Core run, add a task to an Isaac Lab environment suite, build a deduplication pass in Ray Data, or measure drift in a world-model rollout.

  • Real Systems, Not a Sandbox: Work in the same repositories, on the same clusters, and against the same data as the rest of the technical staff, not a parallel toy version.

  • A Deliverable That Outlives You: Ship one artifact the team keeps using — a dataset, a benchmark, an evaluation, or a tool — and write up what you found and what to try next.

REQUIREMENTS

  • You have a Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field, or you are currently working toward one.

  • You have real depth in machine learning fundamentals (optimization, generalization, architectures) or in systems fundamentals (operating systems, networking, parallel computing), plus the intuition to know when theory breaks down.

  • You program fluently in Python and have built and debugged a non-trivial system end to end, on your own.

  • You can name which of our seven areas you want to work in and sketch, concretely, what you would try to build or measure there.

NICE TO HAVE

  • You have built or maintained scalable data pipelines, training infrastructure, or simulation tooling.

  • You have published or contributed to research on generative models for image, video, or 3D content, or on robot learning.

  • You have hands-on experience with GPU kernels (CUDA, Triton), a physics engine (MuJoCo, Newton), or real robot hardware.

  • You have contributed to an open-source project that other people use.

  • You have self-directed projects, research competitions, or competitive programming results that show how quickly you pick things up.

  • You can work hybrid from one of our offices — Toronto, Mountain View, Zürich, or Singapore — for the duration of the internship.

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