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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 New 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. 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. 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. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.