Sr. Machine Learning Engineer, Ads Ranking

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

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Within the Ads Ranking team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team. You will work on tackling new challenges such as user sequence modeling, embedding features, model quantization, utility alignment, RoAS optimization and many more to advance the ML models that power the heavy ranker stage and delivery that bring together Pinners and partners in this unique marketplace.

What you’ll do:

• Execute the development of state-of-the-art applied machine learning projects for the ads conversion modeling team
• Coach and mentor engineers for the conversion modeling team
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
• Develop new techniques for inferring user interests from online activity
• Mine text, visual, user signals to better understand user intention
• Work with product and sales teams to design and implement new ad products

What we’re looking for:

• MS or PhD degree in Computer Science, Statistics or related field
• 3+ years of industry experience building large-scale machine learning models, with experience in ranking and recommender systems (e.g., search, recommendations, personalization).
• Strong mathematical skills with knowledge of statistical methods
• Cross-functional collaborator and strong communicator
• Background in computational advertising is preferred, but not required

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the provinces of Ontario or British Columbia.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.