Publié il y a 8 mois
AMI Research Engineer
@ AMI
Montréal, Québec
En bref
AMI is hiring a full-time Research Engineer to advance world model-based AI, building systems that learn from video and other high-dimensional sensor data to predict and plan. The work spans self-supervised learning, model architectures and data curation at scale.
Responsabilités :
- Implement self-supervised learning methods on video and sensor data
- Develop and scale world-dynamics prediction architectures
- Build infrastructure for video pre-processing and curation
- Design efficient model-based planning algorithms
Résumé des exigences :
- Bachelor's degree or equivalent experience in computer science
- Proficiency in Python
- Understanding of machine learning and GPU or TPU compute
- Preferred: PyTorch or JAX experience and distributed systems
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-03-19
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-25
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
| Champ | Valeur |
|---|---|
| Siège social | Paris |
| Offres sur Jobsy | 3 |
About AMI
We are building a new breed of AI systems that (1) understand the real world, (2) have persistent memory, (3) can reason and plan, and (4) are controllable and safe.
We are a team of scientists and engineers building frontier world model-based AI. We combine the scientific rigor of a top-tier research institute with focus on engineering excellence and execution.
We are a global company, with offices in Paris, Montreal, New York, and Singapore. Come build the future of AI with us!
About this Role
AMI believes AI agents should predict and plan using an internal model of the world — their world model. We’re looking for new team members to advance the state-of-the-art in world modeling. We believe that video is a rich and abundant source of data reflecting how the world works, and that in general models need to be able to process continuous, high-dimensional data from a variety of sensors to: (a) understand context about the current state of the physical world, (b) make predictions about how the world will evolve, possibly as a result of actions taken, and (c) plan and adapt sequences of actions to complete complex tasks, possibly in dynamic, complex environments.
You will work with a team of scientists and engineers, including:
Implementing and optimizing robust and scalable self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals
Develop and scale new architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals, focusing on performance and efficiency
Scalable infrastructure and algorithms for pre-processing and curating video data
Efficient algorithms for model-based planning and reasoning
Minimum Qualifications:
Bachelor’s degree or equivalent experience in Computer Science or a related field
Proficiency in Python
Ability to design, run, and analyze experiments independently
Understanding of machine learning fundamentals, large-scale training, and accelerator-based (GPU or TPU) compute environments
Preferred Qualifications:
Strong track record of building and deploying high-performance ML models
Experience developing, testing, and maintaining large-scale distributed systems
Experience releasing and maintaining open-source projects
Proficiency in a deep learning framework (PyTorch or JAX), especially for distributed training and efficient inference
Journal
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