Engineer- Reinforcement Learning and LLM

Huawei; Vancouver; On-site; CAD 78,000 - 168,000; Full time

Job summary

A global tech leader is seeking an Engineer for a 12-month contract in Vancouver. The ideal candidate will have a Master's or PhD in Computer Science, extensive experience in Machine Learning, and strong coding skills in Python and Pytorch. Responsibilities include developing AI models, optimizing performance, and conducting research in Multimodal Large Language models. The position offers a competitive salary range from $78,000 to $168,000 based on qualifications and experience.

Qualifications

• Master’s or PhD degree in Computer Science or related discipline focused on Machine Learning.
• 3+ years of experience in software development building high-quality products.
• Strong coding skills in Python and Pytorch.

Responsibilities

• Deliver high-quality models and fine-tuning frameworks for AI projects.
• Conduct research and development in training Multimodal Large Language models.
• Optimize models and systems for production-level performance.

Skills

Machine Learning

Software Development

Deep Learning

Python

Pytorch

Data Engineering

Education

Master’s or PhD in Computer Science

Job description

Overview

Huawei Canadahas an immediate 12-month contract opening foran Engineer.

About the team

The Intelligent Cloud Infrastructure Lab aims to innovate technologies, algorithms, systems, and platforms for next-generation cloud infrastructure. The lab addresses scalability, performance, and resource utilization challenges in existing cloud services while preparing for future challenges with appropriate technologies and architectures. Additionally, the lab aims to understand industry dynamics and technology trends to create a robust ecosystem.

About the job

• Leverage state-of-the-art research to deliver high-quality models and fine-tuning framework enabling multiple AI projects at scale.
• Conduct research and development in training and serving Multimodal Large Language models with multiple stages of fine-tuning including SFT and RFT.
• Design and implement multi-agent systems in collaboration with corresponding production teams.
• Data generation, collection and preprocessing to train and fine-tune large models.
• Production level optimization of models and systems to guarantee best performance.
• Generate reports and documentations based on experiment and analysis.
• Deliver developed solutions and provide technical support for production teams.
• Collaborate with researchers to file high-impact patents and publish top-tier conferences.
• The target annual compensation (based on 2080 hours per year) ranges from $78,000 to $168,000 depending on education, experience and demonstrated expertise.

About the ideal candidate

• Master’s or PhD degree in Computer Science or a related discipline with a focus on Machine Learning, Computer Vision, LLM, Reinforcement Learning or mathematics.
• 3+ years of experience as part of highly functional software development team building world class products.
• Demonstrated success in deep learning projects involving Transformers, LLM, VLM, MLLM, Reinforcement Learning, etc.
• Experience in Software Development, Machine Learning, Data Engineering, Data Science, LLM, Reinforcement Learning or related field with a track record of solving industrial problems with SOTA algorithms and frameworks.
• Proficient coding skills in Python and Pytorch with the ability to efficiently translate research ideas into prototypes.
• Experience in fine-tuning of LLM Models (Language, Vision and / or Multi-modal Models) with SFT or RFT.
• Strong publication record at relevant conferences such CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI etc.
• Demonstrated industrial experience in building large scale machine learning solutions for production-oriented tasks.

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