HubMub
-
Movable Ink

Machine Learning Engineer

Movable Ink
Canada · Full-time · Entry
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.

As a machine learning engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves.

Responsibilities:

  • Generate insights into customer behavior and derive modeling ideas for improving our content recommender system
  • Work with data engineers to define what additional customer data we might want to collect and help make it available in a format suitable for modeling purposes
  • Create meaningful machine-learning features that improve our content recommender’s performance measured through offline metrics and online a/b tests
  • Build machine learning models and deploy them as part of our recommender system


Qualifications:

  • Master’s degree or equivalent experience (2+ years) in a relevant field or industry
  • Solid understanding of machine learning fundamentals
  • High comfort level in Python or other programming language
  • Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch)
  • Familiarity with data analysis through SQL or a big-data processing framework such as Spark
  • Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack
  • The idea of writing and deploying production code, and getting real-world feedback on your models excites you
  • A desire to always be learning and contributing to a collaborative environment


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.

Key Skills

Ranked by relevance

c ha machine learning ui ai python unity eop cis pan deep learning data analysis pytorch pandas numpy spark sql esp wan pic lan das nat kf
Login to Apply
🇨🇦

Country Guide

Canada

Express Entry & tech-friendly immigration

Posted
Dec 16, 2024
Type
Full-time
Level
Entry
Location
Toronto
Company
Movable Ink

Industries

Software Development

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Scandit
Related

Senior Embedded Machine Learning Engineer (C++)

2026-05-28

Full-time
Mid-Senior
Finland
Software Development
Information Technology
View Job Details
Amazon
Related

Data Scientist II, Amazon Private Brands

2026-05-26

Full-time
Mid-Senior
Canada
Software Development
Engineering
View Job Details
Amazon
Related

Data Scientist, ADE Analytics

2026-05-19

Full-time
Not Applicable
Canada
Software Development
Engineering