Senior Machine Learning Engineer
Join a team where AI isn’t a buzzword—it’s the engine of our success. We’re looking for a technical leader to bridge the gap between research and reality, productizing sophisticated models that scale. At Movable Ink, you’ll advance a world-class ML Platform in a fast-paced environment where every release makes a global impact. If you’re ready to shape the intersection of digital marketing and artificial intelligence, this is your next challenge.
Responsibilities:
Deploy robust, commercial-grade AI products that redefine client expectations.
Seamlessly integrate breakthrough innovations into our core AI models suite.
Engineer high-performance, scalable ML systems that maintain impeccable reliability under pressure.
Elevate our ML Platform with industry-leading standards for monitoring, orchestration, and automated testing.
Drive product adoption and client satisfaction by delivering sophisticated AI-driven insights.
Ship high-impact AI models that translate directly into tangible business growth.
Qualifications:
5+ years of experience in AI/ML development, with a focus on architecting deep learning systems and sophisticated model pipelines
Master’s degree or higher in Computer Science, Mathematics, Engineering, or related technical field
Proven track record of productizing breakthrough AI research into commercial-grade deep learning models
Deep expertise in neural network architectures, including transformer architecture, computer vision, natural language processing, and multimodal learning
Experience in model optimization and fine-tuning for high-performance inference at scale
Advanced proficiency in PyTorch or TensorFlow, with the ability to implement and adapt state-of-the-art research papers
Proficiency in Python along with experience with machine learning libraries and frameworks (e.g. scikit-learn, XGBoost,...)
Experience with large-scale data processing frameworks (we use Spark) and cloud computing platforms (we use Google Cloud Platform) is desirable
Experience designing and maintaining production ML systems at scale requiring complex workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testing
Strong background in statistical modeling and predictive analytics for recommender systems and propensity scoring
Strategic understanding of the AI model lifecycle, from discovery and experimentation to production deployment and evaluation
Strong technical leadership skills and be able to guide and mentor junior engineers on the team
Able to communicate complex technical concepts to non-technical stakeholders and cross-functional teams
Work effectively in a fast-paced, deadline-driven environment and handle multiple priorities simultaneously
Be detail-oriented and have a strong commitment to delivering high-quality solutions
Be eager to continuously learn and stay up-to-date with the latest advancements in AI and related technologies
The base pay range for this position is CAD$ 140,000 - 180,000/yearly , which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.