Publié il y a 5 mois
Intern Engineer – RL Post-Training for LLMs
@ Huawei Technologies Canada Co., Ltd.
Vancouver, Colombie-Britannique
En bref
Huawei Technologies Canada is offering a 6-12 month internship as an Intern Engineer working on RL post-training for LLMs. The role involves building and optimizing reinforcement learning pipelines and running experiments to improve model reasoning and alignment. The posting states a target compensation of $58,000 to $104,000 annually, based on 2,080 hours per year.
Responsabilités :
- Develop and optimize RL post-training pipelines for LLMs
- Conduct experiments to improve model performance, reasoning and alignment
- Build scalable training, evaluation and data generation systems
- Collaborate with researchers and engineers on LLM projects
- Stay current with RL, LLM and post-training research
Résumé des exigences :
- Enrolled as a Master's or PhD student in CS, AI or related field
- Strong background in ML, RL and deep learning
- Proficiency in Python, PyTorch and LLM frameworks
- Hands-on LLM and RL training experience is an asset
- Experience with open-source LLM frameworks is an asset
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2026-06-08
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-10
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 |
| Heures par semaine | 40 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé), Doctorat (exigé) |
| Domaines d’études | Computer Science, Artificial Intelligence |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Huawei Technologies Canada Co., Ltd.
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| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 187 |
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Huawei Canada has an immediate 6-12 months internship opening for an Intern Researcher.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Develop and optimize RL post-training pipelines for LLMs (e.g., GRPO, reward modeling).
Conduct experiments to improve model performance, reasoning, and alignment.
Build scalable training, evaluation, and data generation systems.
Collaborate with researchers and engineers on cutting-edge LLM projects
Stay current with advancements in RL, LLMs, and post-training research.
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Enrolled as Master or Ph.D. student in Computer Science, AI, or related field.
Strong background in machine learning, reinforcement learning, and deep learning. Familiarity with Large Language Models, transformer architectures, and post-training methods.
Proficiency in Python, PyTorch, and LLM frameworks.
Hands-on experience with LLMs and RL training algorithms (e.g., GRPO) is an asset.
Familiarity with RL frameworks, such as VeRL.
Experience with open-source LLM frameworks such as Hugging Face, DeepSpeed, vLLM, or SGLang is an asset.
Knowledge of domain-specific languages used with AI accelerators.
Experience with distributed training frameworks, large-scale experimentation, or LLM infrastructure is an asset.
Strong problem-solving and communication skills
Additional Information：
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
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