Machine Learning Manager - Ads Measurement Modeling
The Ads Measurement Modeling team is dedicated to evaluating and improving advertising effectiveness to drive advertiser success. This team plays a critical role in building machine learning solutions that help advertisers understand the value Reddit delivers to their business. As the Manager for Measurement Modeling, you will lead the team responsible for designing, implementing, and optimizing machine learning models and systems to tackle complex challenges in ad signals, identity, and privacy, such as modeled conversions, probabilistic user matching, identity resolution, and utility enhancement modeling.
Responsibilities:
Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Measurement Modeling, aligning cutting-edge AI solutions with Reddit’s ads product and business objectives.
Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact.
Cross-Functional Partnership: Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work.
Technical Execution & Delivery: Oversee the design, development, and optimization of machine learning pipelines and systems
Platform & Infrastructure Collaboration: Collaborate with platform and infrastructure teams to chart a path to the next generation of AI-powered solutions for Reddit.
Operational Excellence: Maintain high standards for system performance, reliability, and efficiency in alignment with customer needs and responsible AI principles.
Recruiting & Growth: Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team.
Who You Might Be:
Experience Leading ML Teams: 2+ years of experience building and managing high-performing machine learning teams.
Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems.
Technical Domain Knowledge: Strong understanding of deep learning, transformer-based architectures, and AI model development.
Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.
Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days Off
Generous paid Parental Leave
Paid Volunteer time off
#LI-REMOTE
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
$230,000—$322,000 USD
About the job
Apply for this position
Machine Learning Manager - Ads Measurement Modeling
The Ads Measurement Modeling team is dedicated to evaluating and improving advertising effectiveness to drive advertiser success. This team plays a critical role in building machine learning solutions that help advertisers understand the value Reddit delivers to their business. As the Manager for Measurement Modeling, you will lead the team responsible for designing, implementing, and optimizing machine learning models and systems to tackle complex challenges in ad signals, identity, and privacy, such as modeled conversions, probabilistic user matching, identity resolution, and utility enhancement modeling.
Responsibilities:
Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Measurement Modeling, aligning cutting-edge AI solutions with Reddit’s ads product and business objectives.
Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact.
Cross-Functional Partnership: Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work.
Technical Execution & Delivery: Oversee the design, development, and optimization of machine learning pipelines and systems
Platform & Infrastructure Collaboration: Collaborate with platform and infrastructure teams to chart a path to the next generation of AI-powered solutions for Reddit.
Operational Excellence: Maintain high standards for system performance, reliability, and efficiency in alignment with customer needs and responsible AI principles.
Recruiting & Growth: Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team.
Who You Might Be:
Experience Leading ML Teams: 2+ years of experience building and managing high-performing machine learning teams.
Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems.
Technical Domain Knowledge: Strong understanding of deep learning, transformer-based architectures, and AI model development.
Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.
Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days Off
Generous paid Parental Leave
Paid Volunteer time off
#LI-REMOTE
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
$230,000—$322,000 USD