Movable Ink

Platform for personalized, integrated marketing content

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeToronto, ON, CanadaRemote

About the Job

Requirements

At least 5 years of experience in artificial intelligence and machine learning development, focused on architecting deep learning systems and model pipelines.
A Master’s degree or higher in Computer Science, Mathematics, Engineering, or a related technical field.
Experience productizing artificial intelligence research into commercial-grade deep learning models.
Expertise in neural network architectures, including transformer architecture, computer vision, natural language processing, and multimodal learning.
Experience optimizing and fine-tuning models for high-performance inference at scale.
Advanced proficiency in PyTorch or TensorFlow, including the ability to implement and adapt state-of-the-art research papers.
Proficiency in Python and experience with machine learning libraries and frameworks such as scikit-learn and XGBoost.
Experience designing and maintaining production machine learning systems at scale, including workflow orchestration, artifact versioning, online and offline evaluation, performance monitoring, and A/B testing.
A strong background in statistical modeling and predictive analytics for recommender systems and propensity scoring.
Strategic understanding of the artificial intelligence model lifecycle from discovery and experimentation through production deployment and evaluation.
Ability to provide technical leadership and guide and mentor junior engineers.
Ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.
Ability to work in a fast-paced, deadline-driven environment and manage multiple priorities.
Attention to detail and commitment to delivering high-quality solutions.
Willingness to continuously learn and stay current with advances in artificial intelligence and related technologies.

Responsibilities

Deploy robust, commercial-grade artificial intelligence products.
Integrate innovations into the core artificial intelligence model suite.
Engineer high-performance, scalable machine learning systems with reliable operation under pressure.
Improve the machine learning platform through monitoring, orchestration, and automated testing standards.
Deliver artificial-intelligence-driven insights to drive product adoption and client satisfaction.
Ship high-impact artificial intelligence models that support measurable business growth.

Desired Qualifications

Experience with large-scale data processing frameworks, including Spark.
Experience with cloud computing platforms, including Google Cloud Platform.

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.

About the Company

Movable Ink

Platform for personalized, integrated marketing content

Movable Ink helps brands deliver personalized marketing content by connecting with existing marketing tech via an Integrations Exchange. It sells subscriptions to a platform that lets marketers create customized experiences across digital channels. The product works by integrating with widely used marketing tools, pulling audience data, and generating dynamic, personalized messages and visuals that are delivered through emails, webpages, or ads. What sets Movable Ink apart from competitors is its emphasis on seamless integrations with a broad set of marketing technologies and a library of ready-made templates and workshops that help teams accelerate value from their current tech stack. The company’s goal is to help marketers stand out in a crowded digital landscape by making it easy to craft engaging, personalized content at scale and to extract insights and trends via reports and workshops.

Company size: 501-1,000
Company stage: Series D
Total funding: $97.3M
Headquarters: New York City, New York
Founded: 2010

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