Machine Learning Engineer

MetaOptima • Vancouver, BC

7h • CA$100,000 - CA$140,000 • Onsite

About The Position

As a Machine Learning Engineer, you will join a small, high-impact R&D team and own the full ML lifecycle — from research and rapid prototyping through data pipelines, model training, and cloud deployment. Your work will directly shape clinical-grade computer vision systems that help dermatologists and their patients around the world.

Requirements

• Master’s or PhD degree in Computer Science or equivalent work experience
• 2+ years of non-internship hands-on experience in machine learning.
• Strong proficiency in Python and PyTorch.
• Computer vision experience (classical and deep learning).
• Experience deploying ML models at scale on AWS or GCP.
• Familiarity with containerization tools such as Docker.
• Solid understanding of CI/CD practices for ML systems.
• Comfortable working with and reviewing medical images.
• Proficient with ML/scientific computing libraries (scikit-learn, scipy, numpy).
• Able to determine and apply the correct evaluation metrics for model performance assessment.
• Self-starter with strong communication, documentation, and presentation skills.
• Able to work effectively in a fast-paced startup environment.

Nice To Haves

• Experience with 3D vision and/or multiview geometry.
• Enjoys reading and keeping up with academic research papers.

Responsibilities

• Understand business problems and brainstorm AI solutions collaboratively with the team.
• Work across all stages of the ML pipeline — from data cleaning and acquisition through implementation and deployment.
• Rapidly prototype research ideas and estimate the effort required to develop an MVP.
• Develop tooling to clean, label, and manage medical image datasets.
• Analyze MVP performance to determine how to scale solutions for full cloud deployment on AWS or GCP.
• Optimize models for inference performance.
• Compile and present research findings in a clear and understandable way for both technical and non-technical stakeholders.

Benefits

• You’ll play a pivotal role in advancing next-generation imaging technology for dermatology, helping transform how skin is captured, reconstructed, and analyzed worldwide.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level