Quantum-Inspired ML Engineer | Hybrid & Flexible Hours

Hyperproof; Toronto; Hybrid; CAD 85,000 - 105,000; Full time

Job summary

A leading deep-tech company in Toronto is seeking a Machine Learning Engineer with a strong foundation in AI and deep learning. The candidate will design and develop techniques to enhance Large Language Models and optimize performance in a collaborative, fast-paced environment. Proficiency in Python, experience with AWS and Docker, and a solid educational background in AI-related fields are essential. Join a passionate team working on groundbreaking quantum-inspired technologies in a hybrid work setting.

Benefits

Private health insurance

Flexible working hours

Language classes

Career development opportunities

Inclusive company culture

Qualifications

• 2+ years of hands-on experience with deep learning models and neural networks, preferably with LLMs.
• Solid mathematical foundations and expertise in algorithms.
• Fluent in English.

Responsibilities

• Design and develop techniques to compress Large Language Models.
• Conduct evaluations and optimize LLM performance.
• Maintain documentation of development processes.

Skills

Problem-solving

Collaboration

Deep learning

Programming in Python

Communication skills

Performance analysis

Education

Bachelor's, Master's or Ph.D. in related fields

Tools

PyTorch

AWS

Docker

Job description

A leading deep-tech company in Toronto is seeking a Machine Learning Engineer with a strong foundation in AI and deep learning. The candidate will design and develop techniques to enhance Large Language Models and optimize performance in a collaborative, fast-paced environment. Proficiency in Python, experience with AWS and Docker, and a solid educational background in AI-related fields are essential. Join a passionate team working on groundbreaking quantum-inspired technologies in a hybrid work setting.