Sr. Machine Learning Engineer, Ads Ranking
Sr. Machine Learning Engineer, Ads Ranking
Job Description
Responsibilities
- 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
Qualifications
- 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
Preferred Qualifications
- Background in computational advertising
Locations
- Toronto, ON, CA
Salary
Estimated Salary Rangemedium confidence
250,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Building large-scale machine learning modelsintermediate
- Ranking and recommender systemsintermediate
- Statistical methodsintermediate
- User sequence modelingintermediate
- Embedding featuresintermediate
- Model quantizationintermediate
- Utility alignmentintermediate
- RoAS optimizationintermediate
- Cross-functional collaborationintermediate
- Communicationintermediate
Required Qualifications
- MS or PhD degree in Computer Science, Statistics or related field (experience)
- 3+ years of industry experience building large-scale machine learning models, with experience in ranking and recommender systems (e.g., search, recommendations, personalization) (experience)
- Strong mathematical skills with knowledge of statistical methods (experience)
- Cross-functional collaborator and strong communicator (experience)
Preferred Qualifications
- Background in computational advertising (experience)
Responsibilities
- 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
Tags & Categories
Sr. Machine Learning Engineer, Ads Ranking
Sr. Machine Learning Engineer, Ads Ranking
Job Description
Responsibilities
- 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
Qualifications
- 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
Preferred Qualifications
- Background in computational advertising
Locations
- Toronto, ON, CA
Salary
Estimated Salary Rangemedium confidence
250,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Building large-scale machine learning modelsintermediate
- Ranking and recommender systemsintermediate
- Statistical methodsintermediate
- User sequence modelingintermediate
- Embedding featuresintermediate
- Model quantizationintermediate
- Utility alignmentintermediate
- RoAS optimizationintermediate
- Cross-functional collaborationintermediate
- Communicationintermediate
Required Qualifications
- MS or PhD degree in Computer Science, Statistics or related field (experience)
- 3+ years of industry experience building large-scale machine learning models, with experience in ranking and recommender systems (e.g., search, recommendations, personalization) (experience)
- Strong mathematical skills with knowledge of statistical methods (experience)
- Cross-functional collaborator and strong communicator (experience)
Preferred Qualifications
- Background in computational advertising (experience)
Responsibilities
- 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
Tags & Categories