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Staff Machine Learning Engineer, Ads Creative Effectiveness

Reddit

LocationUnited States
SeniorityStaff
CompanyReddit
Verified recentlyChecked today
Compensation

$230k-$322k

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Schedule

flexible

Benefits stated
Healthcare benefitsIncome replacement programs401(k) with employer matchWorkspace, professional development, and caregiving supportFamily planning supportGender-affirming careMental health and coaching benefitsFlexible vacationPaid volunteer time offPaid parental leavePotential equity in restricted stock unitsPotential commission, depending on position

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Reddit is hiring a Staff Machine Learning Engineer for its Ads Creative Effectiveness team. The role focuses on generative AI and predictive products for advertising, including image/video/copy generation, editing, model fine-tuning, performance feedback loops, and safety systems. The posting states that the role is remote in the United States and gives a base salary range of $230,000–$322,000 USD.

Role lane

Data, Finance and investments, Healthcare admin, HR and recruiting, Legal, Marketing, Operations, Patient support, Product, Sales, Security, Software

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

Staff · contract

Required signals
Machine learningGenerative AILLM/VLM fine-tuningRLHF/RLPFImage and video generation and editingRankingTree models and neural networksExperimentation and uplift measurementAdvertising and marketplace dynamicsAd creative toolingBrand safety and content filteringCross-functional communication
Preferred signals
Experience with brand-safety, privacy, or copyright frameworks for generative AI products
Confirm before applying
  • Required timezone overlap is not stated
Market context

Data hiring on WFH.team

7,773active related roles
4,601new in the latest period
306.1jobs per 100 candidates
$183kmedian of comparable listed ranges

This role's listed pay is above the median among 187 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
Machine learningGenerative AILLM/VLM fine-tuningRLHF/RLPFImage and video generation and editingRankingTree models and neural networksExperimentation and uplift measurementAdvertising and marketplace dynamicsAd creative toolingBrand safety and content filteringCross-functional communicationExperience with brand-safety, privacy, or copyright frameworks for generative AI productsRemote - United States
Job description

Staff Machine Learning Engineer, Ads Creative Effectiveness at Reddit

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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .

About the role

Reddit’s Ads Creative Effectiveness team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines.

What you’ll do

  • Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs.
  • End-to-End Image & Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.
  • LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).
  • Safety & Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.
  • Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path.
  • 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.
  • Quant & Experimentation Chops: Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for generative systems.
  • 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 evolved from a startup acquisition and still moves fast.
  • Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.
  • Prior work on ad creative tooling: Headline generators, image generators, pre-test models, editing flows for the advertiser.

Nice-to-have

  • Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

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 salary 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 salary range for this position is

$230,000 — $322,000 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of 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.

Company context

Working remotely at Reddit

"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.

Team size
501-1000
Founded
2005
Application process

Review current openings on Reddit's official careers page before applying.

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