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Multiverse Computing · 6 days ago

Machine Learning Engineer

Toronto, Ontario, Canada

Full-time

Hybrid

Mid Level

3+ years exp

Multiverse Computing is a well-funded, fast-growing deep-tech company and the largest quantum software company in the EU, recognized for its innovative AI solutions. As a Machine Learning Engineer, you will design and develop compression techniques for Large Language Models, conduct performance evaluations, and collaborate with a diverse team to enhance AI-driven innovations.

Artificial Intelligence (AI)Machine LearningQuantum ComputingSoftware

Responsibilities

Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains

Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency

Build LLM based applications such as RAG and AI agents

Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency

Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation

Maintain comprehensive documentation of LLM development processes, experiments, and results

Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development

Participate in code reviews and provide constructive feedback to team members

Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate

Qualification

Large Language ModelsDeep LearningPythonGPU ArchitecturesCloud PlatformsContainerization TechnologiesMLOpsAI EthicsProblem SolvingCommunication SkillsDocumentation SkillsTeam Collaboration

Required

Bachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields

3+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language models and Transformer

Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference

Excellent problem-solving, debugging, performance analysis, test design, and documentation skills

Strong understanding with the fundamentals of GPU architectures and and LLM hardware/ software infrastructures

Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.)

Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment

Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively

Previous research publications in deep learning or any tech field is a plus

Fluent in English