Publié il y a 15 jours
Internship - Software Engineering
@ Veeda AI
Toronto, Ontario
En bref
Veeda AI is hiring a part-time software engineering intern to build data ETL, data lake tooling and data visualization systems for its Physical AI work. The role involves developing data pipelines and frontend and backend tools used by the data team and AI researchers. The posting states the internship is part-time, with hybrid work from Toronto for its duration.
Responsabilités :
- Build data ETL, data lake and other data tooling for hundreds of TBs of data
- Develop frontend and backend data visualization systems for the data team and AI researchers
- Work in the same repositories, clusters and data as technical staff
- Ship a tool the team keeps using and write up findings and next steps
Résumé des exigences :
- Bachelor's degree or equivalent hands-on experience, or currently working toward one
- Strong object-oriented programming skills
- Familiarity with web application development
- Strong sense of using AI as a productivity tool
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-10-22
- Première détection par notre source
- 2026-10-22
- 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
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (préféré) |
| Domaines d’études | Computer Science, Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Veeda AI
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
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
Scaling Physical AI through Interactive Learning
| Champ | Valeur |
|---|---|
| Secteur | Artificial Intelligence |
| Taille | 11-50 employees |
| Type d’organisation | Privately Held |
| Fondée en | 2026 |
| Offres sur Jobsy | 9 |
| Voir la page |
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
Develop data ETL, data lake and other data toolings that processes hundreds TBs of data
Develop use friendly frontend and backend systems for data visualization to increase efficiency for the data team and AI researchers
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 software, or a tool — and write up what you found and what to try next.
REQUIREMENTS
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.
Strong object oriented programming language skills and understanding.
Familiar with web application development.
Strong sense of using AI as a productivity tool.
NICE TO HAVE
You have built or maintained production-grade applications.
You have worked with AWS, GCP or other popular cloud platform.
You are familiar with CI/CD pipeline.
You have self-directed projects, or competitive programming results that show how quickly you pick things up.
You can work hybrid from Toronto for the duration of the internship.
Journal
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