Machine Learning Manager - Ads Creative Effectiveness
Reddit’s newly minted Ads Creative Effectiveness team sits at the heart of our creative strategy, building generative-AI and predictive products that help advertisers ship high-impact campaigns. As the team’s manager, you will set the technical vision, scale a scrappy “startup-within-Reddit,” and deliver ML-powered tools, from image/headline generators to real-time creative ranking, that raise the performance bar for every advertiser on the platform.
What you’ll do:
Lead & Grow: Hire, mentor, and retain a diverse crew of MLEs and software engineers with a strong product mindset. Foster a culture of rapid iteration, ownership, and inclusion.
Set Vision: Work with product to define long term roadmaps that aligns generative AI bets with Ads OKRs. Translate fuzzy ideas into concrete milestones, measurable outcomes, and define technical steps that answer “how do we best build this?”.
Ship Products: Launch and scale LLM/VLM-powered generators (images, video, text) and predictive models (creative quality scores, brand-lift). Own the full lifecycle from prototype to production.
Build Systems: Architect low-latency generation/serving stacks and petabyte-scale feature pipelines that meet privacy, safety, and compliance requirements.
Drive Experiments: Establish rigorous A/B and causal-inference frameworks; quantify lift, marketplace impact, and advertiser ROI.
Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the self-serve flow and the ad auction.
Guardrails & Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.
What we’re looking for:
Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & RLHF/RLPF for ads.
Scalable Systems Know-How: Proven track record building high-throughput, low-latency services and real-time data pipelines.
Quant & Experimentation Chops: Comfort with uplift metrics, variance, and causal inference ensures shipping impactful features.
Ads / Marketplace Insight: Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention.
Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE was formed via startup acquisition and still moves fast.
People Leadership: Experience mentoring and scaling high-impact ML teams; strong coaching and performance-management skills.
Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.
Nice-to-have
Prior work on ad-creative tooling (headline generators, pre-test models, auto-captioning, etc.).
Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.
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
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
#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 Creative Effectiveness
Reddit’s newly minted Ads Creative Effectiveness team sits at the heart of our creative strategy, building generative-AI and predictive products that help advertisers ship high-impact campaigns. As the team’s manager, you will set the technical vision, scale a scrappy “startup-within-Reddit,” and deliver ML-powered tools, from image/headline generators to real-time creative ranking, that raise the performance bar for every advertiser on the platform.
What you’ll do:
Lead & Grow: Hire, mentor, and retain a diverse crew of MLEs and software engineers with a strong product mindset. Foster a culture of rapid iteration, ownership, and inclusion.
Set Vision: Work with product to define long term roadmaps that aligns generative AI bets with Ads OKRs. Translate fuzzy ideas into concrete milestones, measurable outcomes, and define technical steps that answer “how do we best build this?”.
Ship Products: Launch and scale LLM/VLM-powered generators (images, video, text) and predictive models (creative quality scores, brand-lift). Own the full lifecycle from prototype to production.
Build Systems: Architect low-latency generation/serving stacks and petabyte-scale feature pipelines that meet privacy, safety, and compliance requirements.
Drive Experiments: Establish rigorous A/B and causal-inference frameworks; quantify lift, marketplace impact, and advertiser ROI.
Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the self-serve flow and the ad auction.
Guardrails & Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.
What we’re looking for:
Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & RLHF/RLPF for ads.
Scalable Systems Know-How: Proven track record building high-throughput, low-latency services and real-time data pipelines.
Quant & Experimentation Chops: Comfort with uplift metrics, variance, and causal inference ensures shipping impactful features.
Ads / Marketplace Insight: Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention.
Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE was formed via startup acquisition and still moves fast.
People Leadership: Experience mentoring and scaling high-impact ML teams; strong coaching and performance-management skills.
Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.
Nice-to-have
Prior work on ad-creative tooling (headline generators, pre-test models, auto-captioning, etc.).
Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.
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
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
#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