Machine Learning Manager - Ads Creative Effectiveness

Reddit, Inc.; Canada; Remote; CAD 320,000 - 449,000; Full time

Job summary

A leading online community platform is seeking a Machine Learning Manager to lead a team focused on Ads Creative Effectiveness. You will set the vision, scale projects, and deliver innovative ML-powered tools to enhance ad performance. Ideal candidates will have deep ML expertise, experience building scalable systems, and a startup mindset. The position supports flexible work arrangements and offers a competitive salary and benefits package.

Benefits

401k Matching

Flexible Vacation

Family Planning Support

Workspace benefits for your home office

Paid Volunteer time off

Qualifications

• Hands-on experience with tree models, neural nets, ranking, and LLM/VLM fine-tuning.
• Proven track record building high-throughput, low-latency services.
• Comfort with uplift metrics and causal inference.

Responsibilities

• Hire, mentor, and retain diverse ML engineers and software engineers.
• Define long term roadmaps that align generative AI with Ads OKRs.
• Launch and scale generators and predictive models.

Skills

Deep ML Expertise

Scalable Systems Know-How

Quant & Experimentation Chops

Ads / Marketplace Insight

Startup Mindset

People Leadership

Communication Superpowers

Job description

Machine Learning Manager - Ads Creative Effectiveness

Remote - United States

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com .

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
• 401k Matching
• Workspace benefits for your home office
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• Paid Volunteer time off

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

In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors .

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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