Machine Learning Manager - Ads Creative Effectiveness

Summary

Join Reddit's Ads Creative Effectiveness team as a manager and lead a team of machine learning engineers and software engineers. Set the technical vision, scale the team, and deliver ML-powered tools to improve advertiser campaign performance. Responsibilities include hiring, mentoring, and retaining a diverse team; defining long-term roadmaps aligned with Ads OKRs; launching and scaling LLM/VLM-powered generators and predictive models; architecting low-latency generation/serving stacks and petabyte-scale feature pipelines; establishing A/B and causal-inference frameworks; collaborating with various teams; and embedding brand-safety filters. The ideal candidate possesses deep ML expertise, scalable systems know-how, strong quantitative and experimentation skills, ads/marketplace insight, a startup mindset, people leadership experience, and excellent communication skills. The role offers a competitive salary and benefits package, flexible work arrangements, and the opportunity to work on high-impact projects.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• 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
• 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