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Reddit, Inc.

Principal Machine Learning Engineer, Ads Measurement

Reddit, Inc., San Francisco, California, United States, 94199


Principal Machine Learning Engineer, Ads MeasurementCandidate is a technical leader capable of creating and aligning on PET visions to solve challenges for at least the next 2+ yearsCandidate advocates for privacy when delivering Ads performance goals by working across job functions (product, engineering, privacy, legal, etc.) across the companyCandidate is an expert in Ads Measurement and PETs such as aggregation and anonymization, K-anonymity, differential privacyCandidate’s PET experience spans across multiple Ads domains such as Signals, Measurement, Optimization, Delivery, Targeting, Ranking, Bidding, etcResponsibilities

Candidate is an individual contributor capable of designing, implementing, testing, and launching complex product and infrastructure changes across the entire Ads stackCandidate can deliver through others as well as doing hands-on workLead projects from concept, design, implementation, to rollout, ensuring the highest quality and performanceIdentify opportunities to enhance Ad Privacy and PET capabilities by diving deep into our platform and understanding the company priorities as well as the needs of our advertisersDesign and develop applied machine learning models for modeled conversions, identity matching, and privacy enhancing technologies, from ideation to production deploymentCollaborate with data scientists and backend software engineersMentor staff engineers and leaders, share industry knowledge, and contribute to the technical growth of the teamConduct A/B tests and experiments to iterate and fine-tune algorithms and modelsStay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community401k MatchingWorkspace benefits for your home officeFamily Planning SupportFlexible Vacation (please use them!)Paid Volunteer time offQualifications

Candidate is a technical leader capable of creating and aligning on PET visions to solve challenges for at least the next 2+ yearsCandidate advocates for privacy when delivering Ads performance goals by working across job functions (product, engineering, privacy, legal, etc.) across the companyCandidate is an expert in Ads Measurement and PETs such as aggregation and anonymization, K-anonymity, differential privacyCandidate’s PET experience spans across multiple Ads domains such as Signals, Measurement, Optimization, Delivery, Targeting, Ranking, Bidding, etcResponsibilities

Candidate is an individual contributor capable of designing, implementing, testing, and launching complex product and infrastructure changes across the entire Ads stackCandidate can deliver through others as well as doing hands-on workLead projects from concept, design, implementation, to rollout, ensuring the highest quality and performanceIdentify opportunities to enhance Ad Privacy and PET capabilities by diving deep into our platform and understanding the company priorities as well as the needs of our advertisersDesign and develop applied machine learning models for modeled conversions, identity matching, and privacy enhancing technologies, from ideation to production deploymentCollaborate with data scientists and backend software engineersMentor staff engineers and leaders, share industry knowledge, and contribute to the technical growth of the teamConduct A/B tests and experiments to iterate and fine-tune algorithms and modelsStay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and communityBenefits

Comprehensive Healthcare Benefits401k MatchingWorkspace benefits for your home officePersonal & Professional development fundsFamily Planning SupportFlexible Vacation (please use them!)4+ months paid Parental LeavePaid Volunteer time offThe Ads Measurement Org 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 hands-on software engineering leader with machine learning background, familiar with the end to end Ads systems, experienced with Ads privacy and PETs, capable of... leading across different engineering and XFN organizations, as well as willing to get their hands dirty and solves problems when the team lacked the expertise. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!

Minimum Qualifications:• Candidate is a technical leader capable of creating and aligning on PET visions to solve challenges for at least the next 2+ years.• Candidate advocates for privacy when delivering Ads performance goals by working across job functions (product, engineering, privacy, legal, etc.) across the company.• Candidate is an expert in Ads Measurement and PETs such as aggregation and anonymization, K-anonymity, differential privacy• Candidate’s PET experience spans across multiple Ads domains such as Signals, Measurement, Optimization, Delivery, Targeting, Ranking, Bidding, etc. They are capable of building PET solutions that are end-to-end across the entire Ads system.• Candidate is familiar with Ads privacy (GDPR, CCPA, ePD, ATT, etc.) and is experienced with evolving the Ads stack to meet the privacy needs when developing PETs.• Candidate has a track record of delivering high Ads performance post signal loss.• Candidate is an individual contributor capable of designing, implementing, testing, and launching complex product and infrastructure changes across the entire Ads stack.• Candidate can deliver through others as well as doing hands-on work.

Responsibilities:• Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance.• Identify opportunities to enhance Ad Privacy and PET capabilities by diving deep into our platform and understanding the company priorities as well as the needs of our advertisers.• Design and develop applied machine learning models for modeled conversions, identity matching, and privacy enhancing technologies, from ideation to production deployment.• Collaborate with data scientists and backend software engineers• Mentor staff engineers and leaders, share industry knowledge, and contribute to the technical growth of the team.• 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.

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

Company informationReddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit. Interested in joining our growing team? Check out redditinc.com/careersSocial Media, Technology, Software Development, Internet, Internet Services, Media, Digital Media, Digital Advertising, News and Media, Digital ContentCompany Specialties:Software Engineering, Full-Stack Engineering, Frontend Engineering, Backend Engineering, Social Media, Data Science , Mobile Apps, and Online Advertising

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