Reddit
Senior Machine Learning Engineer, Ads Marketplace Quality
Reddit, San Francisco, California, United States, 94199
The Ads Marketplace Quality team is growing, and we are looking for an experienced software engineer to be part of the journey of developing a world-class marketplace and optimizing for users, advertisers, and Reddit value.
If the following job requirements and experience match your skills, please ensure you apply promptly.In this role, you will be responsible for developing and executing a vision to improve our Ads Marketplace. You will develop a deep understanding of our marketplace dynamics and identify areas of improvement by analyzing data, designing, implementing, and shipping algorithms to production that enhance our ads delivery funnel with the goal of upleveling the utility for both our advertiser and user values. In particular, you will work on our Ad Relevance initiatives, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that serves ads that are highly relevant to our users.
As a senior machine learning engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in marketplace dynamics. You will research, formulate, and execute our mission to build end-to-end ML solutions and deliver highly relevant ads to the right user in the right context with data and ML-driven solutions. You will deliver with strong execution and cross-functional management skills.
Responsibilities:
Building industrial-level models for critical ML tasks with advanced modeling techniques to improve ad relevance on Reddit.
Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads ranking and auction.
Drive technical roadmaps and lead day-to-day project execution, contributing meaningfully to team vision and strategy.
Lead junior engineers in implementing technical designs.
Be a cross-functional advocate for the team, collaborating with product managers and data scientists to innovate and build products.
Required Qualifications:
Track record of consistently driving KPI wins through systematic work around model architecture and feature engineering.
3+ years of experience with industry-level product development.
4+ years of end-to-end experience in training, evaluating, testing, and deploying industry-level machine learning models.
4+ years of experience orchestrating complicated data generation pipelines on large-scale datasets.
Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
Experience with Ads (Marketplace) domain is a plus.
Experience with Ads Relevance is a plus.
Desire to mentor other engineers and level-up the team’s strength.
Benefits:
Comprehensive Healthcare Benefits.
401k Matching.
Workspace benefits for your home office.
Personal & Professional development funds.
Family Planning Support.
Flexible Vacation (please use them!) & Reddit Global Wellness Days.
4+ months paid Parental Leave.
Paid Volunteer time off.
#J-18808-Ljbffr
If the following job requirements and experience match your skills, please ensure you apply promptly.In this role, you will be responsible for developing and executing a vision to improve our Ads Marketplace. You will develop a deep understanding of our marketplace dynamics and identify areas of improvement by analyzing data, designing, implementing, and shipping algorithms to production that enhance our ads delivery funnel with the goal of upleveling the utility for both our advertiser and user values. In particular, you will work on our Ad Relevance initiatives, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that serves ads that are highly relevant to our users.
As a senior machine learning engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in marketplace dynamics. You will research, formulate, and execute our mission to build end-to-end ML solutions and deliver highly relevant ads to the right user in the right context with data and ML-driven solutions. You will deliver with strong execution and cross-functional management skills.
Responsibilities:
Building industrial-level models for critical ML tasks with advanced modeling techniques to improve ad relevance on Reddit.
Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads ranking and auction.
Drive technical roadmaps and lead day-to-day project execution, contributing meaningfully to team vision and strategy.
Lead junior engineers in implementing technical designs.
Be a cross-functional advocate for the team, collaborating with product managers and data scientists to innovate and build products.
Required Qualifications:
Track record of consistently driving KPI wins through systematic work around model architecture and feature engineering.
3+ years of experience with industry-level product development.
4+ years of end-to-end experience in training, evaluating, testing, and deploying industry-level machine learning models.
4+ years of experience orchestrating complicated data generation pipelines on large-scale datasets.
Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
Experience with Ads (Marketplace) domain is a plus.
Experience with Ads Relevance is a plus.
Desire to mentor other engineers and level-up the team’s strength.
Benefits:
Comprehensive Healthcare Benefits.
401k Matching.
Workspace benefits for your home office.
Personal & Professional development funds.
Family Planning Support.
Flexible Vacation (please use them!) & Reddit Global Wellness Days.
4+ months paid Parental Leave.
Paid Volunteer time off.
#J-18808-Ljbffr