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.