Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world's most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in Current York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. Join a team where AI isn't a buzzword - it's the engine of our success.ResponsibilitiesDeploy 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.Qualifications5+ years of experience in AI/ML development, with a focus on architecting deep learning systems and sophisticated model pipelinesMaster's degree or higher in Computer Science, Mathematics, Engineering, or related technical fieldProven track record of productizing breakthrough AI research into commercial-grade deep learning modelsDeep expertise in neural network architectures, including transformer architecture, computer vision, natural language processing, and multimodal learningExperience in model optimization and fine-tuning for high-performance inference at scaleAdvanced proficiency in PyTorch or TensorFlow, with the ability to implement and adapt state-of-the-art research papersProficiency 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 desirableExperience designing and maintaining production ML systems at scale requiring complex workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testingStrong background in statistical modeling and predictive analytics for recommender systems and propensity scoringStrategic understanding of the AI model lifecycle, from discovery and experimentation to production deployment and evaluationStrong technical leadership skills and be able to guide and mentor junior engineers on the teamAble to communicate complex technical concepts to non-technical stakeholders and cross-functional teamsWork effectively in a fast-paced, deadline-driven environment and handle multiple priorities simultaneouslyBe detail-oriented and have a strong commitment to delivering high-quality solutionsBe eager to continuously learn and stay up-to-date with the latest advancements in AI and related technologiesThe 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.Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger. We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer. #J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Toronto)
🏢 Doist
📍 Toronto