Time since we first saw it
Day 94
Up longer than most. Similar jobs usually come down between day 8 and day 76.
From 5,326 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Engineer
Movable Ink - Toronto (Remote)
Open 3 months, first seen by us 94 days ago- Pay
CAD 140,000–180,000 · Base/yearly — pay source
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.
Read the full posting- Work setting
Remote — work setting source
Listed location: Movable Ink - Toronto (Remote)
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDeploy commercial-grade AI products for clients
Engineer high-performance, scalable ML systems with high reliability
Elevate the ML Platform's monitoring, orchestration, and automated testing
Integrate research breakthroughs into core AI models
Ship high-impact AI models tied to business growth
From the employer’s posting
Deploy robust, commercial-grade AI products that redefine client expectations.
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.
Seamlessly integrate breakthrough innovations into our core AI models suite.
Ship high-impact AI models that translate directly into tangible business growth.
What you’ll bring
All qualificationsCore experience
- 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
- 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
- Proficiency in Python along with experience with machine learning libraries and frameworks (e.g.
- Experience designing and maintaining production ML systems at scale requiring complex workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testing
Preferred experience
- Experience with large-scale data processing frameworks (we use Spark) and cloud computing platforms (we use Google Cloud Platform) is desirable
Qualification wording
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
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
Proficiency in Python along with experience with machine learning libraries and frameworks (e.g. scikit-learn, XGBoost,...)
Experience designing and maintaining production ML systems at scale requiring complex workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testing
Experience with large-scale data processing frameworks (we use Spark) and cloud computing platforms (we use Google Cloud Platform) is desirable
Education & alternatives
- 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
Posting record
Report an errorOpen 3 monthsWe first saw this posting 94 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Aug 10, 202694 days ago
- Recorded sightings
- 48
- Last seen by us
- Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Movable Ink is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Spark
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
- GCP
Where the posting names them
- 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
- 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
- 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,...)
Your next step
Complete your application on movableink.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Movable Ink - Toronto (Remote)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.