Senior ML Engineer, Ads Ranking & Personalization

Pinterest; Toronto; Hybrid; CAD 85,000 - 115,000; Full time

Job summary

A leading social media platform is seeking a Machine Learning Engineer in Toronto, Ontario, to develop and implement innovative machine learning solutions for ads conversion modeling. The ideal candidate will have a strong background in building large-scale ML models and will collaborate closely with product and sales teams. A Master's or PhD in a relevant field is required, along with excellent mathematical and communication skills. This role allows for flexible working arrangements with occasional in-office collaboration.

Qualifications

• 3+ years of experience in industry with ranking and recommender systems.
• Strong mathematical skills and knowledge of statistical methods.
• Background in computational advertising is preferred.

Responsibilities

• Develop state-of-the-art machine learning projects for ads conversion modeling.
• Design features and build large-scale models to improve ad predictions.
• Coach and mentor engineers on the conversion modeling team.

Skills

Building large-scale machine learning models

Model quantization

User intention inference

Cross-functional collaboration

Education

MS or PhD in Computer Science, Statistics or related field

Job description

A leading social media platform is seeking a Machine Learning Engineer in Toronto, Ontario, to develop and implement innovative machine learning solutions for ads conversion modeling. The ideal candidate will have a strong background in building large-scale ML models and will collaborate closely with product and sales teams. A Master's or PhD in a relevant field is required, along with excellent mathematical and communication skills. This role allows for flexible working arrangements with occasional in-office collaboration.