Machine Learning Manager - Ads Creative Effectiveness

Details

Reddit’s Ads Creative Effectiveness (ACE) team builds 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 advertisers on the platform.

Responsibilities

• Hire, mentor, and retain a diverse crew of machine learning engineers (MLEs) and software engineers with a strong product mindset. Foster a culture of rapid iteration, ownership, and inclusion.
• Work with product to define long-term roadmaps that align generative AI bets with Ads OKRs; translate fuzzy ideas into concrete milestones and measurable outcomes.
• 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.
• Architect low-latency generation/serving stacks and petabyte-scale feature pipelines that meet privacy, safety, and compliance requirements.
• Establish rigorous A/B and causal-inference frameworks; quantify lift, marketplace impact, and advertiser ROI.
• Collaborate cross-functionally with Product, Sales, Policy, UX, and other Ads ML teams to integrate ACE capabilities into the self-serve flow and the ad auction.
• Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.

Requirements

• Deep ML expertise with hands-on experience in tree models, neural networks, ranking systems, and especially LLM/VLM fine-tuning and RLHF/RLPF for ads.
• Proven track record building high-throughput, low-latency services and real-time data pipelines.
• Strong quantitative and experimentation skills: comfort with uplift metrics, variance, and causal inference to ensure impactful feature launches.
• Understanding of ads and marketplace dynamics, including auction dynamics and advertiser pain points.
• Startup mindset: bias to action, comfort with ambiguity, and scrappiness.
• People leadership experience: mentoring and scaling high-impact ML teams, strong coaching and performance-management skills.
• Excellent communication skills: able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders.

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.
• The chance to work on high-impact projects that drive real results for users and advertisers.

Benefits

• Comprehensive healthcare benefits.
• 401(k) matching.
• Workspace benefits for your home office.
• Personal & professional development funds.
• Family planning support.
• Flexible vacation & Reddit Global Wellness Days.
• 4+ months paid parental leave.
• Paid volunteer time off.

Pay Transparency & Hiring Notes

• This posting may span more than one career level. Base pay range for US-based candidates: $230,000 - $322,000 USD (base). Role is eligible for equity (RSUs) and may be eligible for commission depending on position.
• In select roles and locations, interviews may be recorded and transcribed by AI; candidates may opt out prior to scheduled interviews. Reddit is an equal opportunity employer and provides reasonable accommodations during the application process.