Deep Learning Engineer
Quick Summary
Quantum Intelligence Labs is seeking a motivated Deep Learning Engineer to join its expanding artificial intelligence division. The role is focused on developing, training, and deploying advanced neural network models for real-world applications. The ideal candidate is enthusiastic about machine learning research, eager to apply theory to practical systems, and open to collaboration with a diverse technical team.
Project Category or Industry
Artificial intelligence, data science, and advanced computing research.
Type
Full-time, remote contract engagement.
Experience Level
This position welcomes entry-level applicants, especially those with strong academic backgrounds or project experience in AI, while also remaining open to mid-level professionals with proven practical expertise.
Duration
Long-term contract with opportunities for extension based on performance.
Location
Remote-first, with flexible collaboration across international time zones.
Salary or Budget
Competitive range of $70,000 to $90,000 annually, depending on skills and experience.
Payment Mode
Monthly salary payments via direct deposit or internationally supported banking platforms.
Hiring Company Name
Quantum Intelligence Labs.
Required Skills or Tools
The role requires knowledge of Python, TensorFlow or PyTorch, and experience with machine learning workflows. Familiarity with GPU programming, data preprocessing, and cloud-based training pipelines will be highly beneficial.
Project Description
The Deep Learning Engineer will contribute to AI-driven initiatives, focusing on building models for computer vision, natural language processing, and reinforcement learning. The position is aimed at advancing innovation within the lab while creating AI solutions that solve pressing business and research challenges.
Core Responsibilities and Expected Deliverables
Responsibilities include designing and training deep learning models, running experiments, fine-tuning hyperparameters, and implementing efficient deployment pipelines. Deliverables will consist of production-ready models, well-documented code, and technical reports supporting the findings of each project.
Required Experience and Preferred Qualifications
Candidates should have a strong foundation in mathematics, particularly linear algebra, calculus, and statistics. Prior experience with Kaggle competitions, open-source contributions, or published academic work will be considered a plus. A degree in computer science, data science, or a related technical field is preferred.
Tools or Platforms to Be Used
The team leverages Python, TensorFlow, PyTorch, GitHub, Jupyter Notebooks, Docker, and cloud platforms such as AWS or Google Cloud.
Language Requirement
English fluency is required for all technical discussions and documentation.
Communication Style
The company values clear, concise, and collaborative communication, primarily through Slack, Zoom, and email.
Time Commitment or Working Window
A standard 35–40 hours per week commitment is expected, with flexible working hours to accommodate different time zones.
Payment Terms
Monthly salary on a fixed basis, with potential performance bonuses for major project milestones.
Evaluation Criteria
Candidates will be assessed based on technical interview performance, coding test results, past project experience, and demonstrated problem-solving skills.
Other Requirements
Selected candidates may be required to sign an NDA and use time-tracking tools for project accountability.
About the Client or Company
Quantum Intelligence Labs is a privately held technology company specializing in artificial intelligence research and product development. Headquartered in Toronto, the company partners with global organizations to bring cutting-edge AI solutions into healthcare, finance, and autonomous systems. The company’s mission is to harness machine intelligence to improve decision-making and drive innovation worldwide.
For more information, visit www.quantumintelligencelabs.com or contact careers@quantumintelligencelabs.com.