Staff Machine Learning Engineer - Ads Ranking
We’re looking for a Staff Machine Learning Engineer to join Reddit’s Ads Ranking Org! This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. This position allows the opportunity to contribute across key modeling focus areas such as conversion, app ads, shopping, brand ads, or core ranking.
What you bring:
7+ years of industry experience, including several years in applied ML roles
Deep experience with DNN architectures and ML frameworks (TensorFlow, PyTorch)
Strong background in recommendation systems, ads ranking, or similar domains
Experience working with large-scale datasets and complex feature pipelines
Strong problem-solving and experimentation skills
Day-to-Day Responsibilities:
Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
Develop and optimize features including embeddings, contextual signals, and cross-session behavior
Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
Mentor other MLEs and contribute to modeling best practices across the org
Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)
Most Challenging Aspects:
Balancing generalization and specificity in modeling across different ad formats
Managing trade-offs between model complexity, latency, and prediction quality
Navigating cross-functional alignment to scale high-impact ML initiatives
What Differentiates This Role:
Direct path to measurable product and revenue impact
Opportunity to shape foundational ML modeling across Reddit Ads
Flexible scope based on modeling strengths (conversion, app ads, core ranking, etc.)
Exposure to diverse ad surfaces (feed, video, shopping, brand) and cutting-edge ML techniques
What We Offer:
A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
Opportunities for professional growth and development, with a focus on continuous learning and skill-building
A competitive salary and benefits package, with a focus on work-life balance and employee well-being
Flexible work arrangements, including remote work options, to support your individual needs and preferences
The chance to work on high-impact projects that drive real results for our users and advertisers
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
Staff Machine Learning Engineer - Ads Ranking
We’re looking for a Staff Machine Learning Engineer to join Reddit’s Ads Ranking Org! This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. This position allows the opportunity to contribute across key modeling focus areas such as conversion, app ads, shopping, brand ads, or core ranking.
What you bring:
7+ years of industry experience, including several years in applied ML roles
Deep experience with DNN architectures and ML frameworks (TensorFlow, PyTorch)
Strong background in recommendation systems, ads ranking, or similar domains
Experience working with large-scale datasets and complex feature pipelines
Strong problem-solving and experimentation skills
Day-to-Day Responsibilities:
Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
Develop and optimize features including embeddings, contextual signals, and cross-session behavior
Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
Mentor other MLEs and contribute to modeling best practices across the org
Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)
Most Challenging Aspects:
Balancing generalization and specificity in modeling across different ad formats
Managing trade-offs between model complexity, latency, and prediction quality
Navigating cross-functional alignment to scale high-impact ML initiatives
What Differentiates This Role:
Direct path to measurable product and revenue impact
Opportunity to shape foundational ML modeling across Reddit Ads
Flexible scope based on modeling strengths (conversion, app ads, core ranking, etc.)
Exposure to diverse ad surfaces (feed, video, shopping, brand) and cutting-edge ML techniques
What We Offer:
A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
Opportunities for professional growth and development, with a focus on continuous learning and skill-building
A competitive salary and benefits package, with a focus on work-life balance and employee well-being
Flexible work arrangements, including remote work options, to support your individual needs and preferences
The chance to work on high-impact projects that drive real results for our users and advertisers
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