Machine Learning Engineer, Ads Measurement
To see similar active jobs please follow this link: Remote Development jobs
“The front page of the internet,' Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
The Ads Measurement Core team is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions. We are looking for a Senior Machine Learning Engineer to use privacy enhancing technologies to improve our capabilities. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!
Responsibilities:
Design and develop applied machine learning models for modeled conversions and identity matching from ideation to production deployment.
Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.
Collaborate with data scientists and backend software engineers
Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community.
Design, implement, and maintain reliable, high-performance distributed systems.
Minimum Qualifications:
3+ years of experience with applied machine learning models and large-scale ML systems. Includes experience, training, evaluating, testing, and deploying machine learning models
Proficiency with programming languages (Python, SQL) and statistical analysis.
Effective communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
Prior experience with Modeled Conversions, Ads Privacy, or Ads Measurement is a big plus
Prior experience with Sequence Modeling, Reinforcement Learning, and Transformer Architecture is a big plus
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
About the job
Machine Learning Engineer, Ads Measurement
To see similar active jobs please follow this link: Remote Development jobs
“The front page of the internet,' Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
The Ads Measurement Core team is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions. We are looking for a Senior Machine Learning Engineer to use privacy enhancing technologies to improve our capabilities. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!
Responsibilities:
Design and develop applied machine learning models for modeled conversions and identity matching from ideation to production deployment.
Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.
Collaborate with data scientists and backend software engineers
Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community.
Design, implement, and maintain reliable, high-performance distributed systems.
Minimum Qualifications:
3+ years of experience with applied machine learning models and large-scale ML systems. Includes experience, training, evaluating, testing, and deploying machine learning models
Proficiency with programming languages (Python, SQL) and statistical analysis.
Effective communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
Prior experience with Modeled Conversions, Ads Privacy, or Ads Measurement is a big plus
Prior experience with Sequence Modeling, Reinforcement Learning, and Transformer Architecture is a big plus
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