Staff ML Engineer, Criteo
$160.3-200.4k
The commerce media platform for the open internet
Open for applications
The commerce media platform for the open internet
1001+ employees
Open for applications
$160.3-200.4k
1001+ employees
Company mission
To help marketers and media owners reach their goals through the world's leading Commerce Media Platform.
Role
Who you are
- You have 10 years of experience building and deploying machine learning systems at scale in production environments
- You are experienced in ranking models for information retrieval or recommender systems
- You enjoy diving deep into data and have a strong analytical mindset
- You are curious, collaborative, and eager to both learn from others and share your expertise with your team
- You value cross-functional collaboration and enjoy partnering with R&D teams, Product Managers, and Product Analysts to build efficient, user-centric products
What the job involves
- CRITEO is looking for a Staff Machine Learning Engineer to join our R&D team in Toronto. Our mission is to power real-time product ranking systems that deliver the most relevant products to users on retailers’ websites as part of our Retail Media solutions (c.f. Retail Media)
- To achieve this, we design and operate large-scale machine learning systems built on tabular data to predict user behaviors such as clicks and purchases. Our work spans the full ML lifecycle — from building robust data pipelines and developing production-grade models to monitoring and maintaining model performance in production
- You’ll join a team of Machine Learning Engineers working closely with cross-functional partners across R&D, Product Management, Product Analytics, and Commercial teams to deliver impactful, scalable solutions
- Our core technology stack includes Python, Spark, SQL, and C#
- Design, develop, and deploy machine learning models into production
- Analyze data and build scalable, reliable data pipelines
- Define the team’s roadmap and technical strategy
- Own end-to-end initiatives by defining goals, milestones, and technical deliverables in collaboration with Product Managers
- Participate in architecture discussions and help drive technical decisions, actively contributing to the business performance
Our take
Commerce marketing is a huge business with billions spent every year on adverts. And companies that help businesses create and deliver more targeted adverts can command a lot of value. Criteo is one such company operating in this space.
Criteo is a personalised retargeting company connecting marketers and media owners through its Commerce Media Platform, delivering richer consumer experiences. Criteo uses machine-learning technology and data to drive performance, helping marketers and media owners reach their goals.
As marketers are increasingly looking for commerce media solutions, Criteo is operating in a sought-after space. Further, around 73% of media owners seek to optimise media performance as a way to both generate awareness and drive revenue, meaning the company has a significant potential client base. Criteo has continued to make headway here, driving 5 billion ads per day, and is well set to see further adoption of its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Sep 2012
$38.6m
SERIES D
May 2010
$7m
SERIES C
Total funding: $59.5m
Company HQ
New Athens, Paris, France
Leadership
Michael Komasinski
(CEO)Prior to joining Criteo in 2025, Michale was the CEO of the America and Group President of Data and Technology at dentsu. He also spent nearly 9 years at Merkle, in various roles, including President of the Americas and Global CEO.
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