Principal Machine Learning Engineer, Ads Measurement - San Francisco, CA, United States - Reddit, Inc.

Reddit, Inc. San Francisco, CA, United States

1 week ago

Description

Principal Machine Learning Engineer, Ads Measurement

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

Responsibilities

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
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
401k Matching
Workspace benefits for your home office
Family Planning Support
Flexible Vacation (please use them)
Paid Volunteer time off

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

Responsibilities

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
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)
4+ months paid Parental Leave
Paid Volunteer time off

The 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

Principal Machine Learning Engineer, Ads Measurement - San Francisco, CA, United States - Reddit, Inc.

Description

Responsibilities

Qualifications

Responsibilities

Benefits

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Harold Moses

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Information

Principal Machine Learning Engineer, Ads Measurement - San Francisco, CA, United States - Reddit, Inc.

Description

Responsibilities

Qualifications

Responsibilities

Benefits

Principal Machine Learning Engineer, Ads Measurement professionals in San Francisco