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Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality)Reddit, Inc. • United States
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Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality)

Reddit, Inc.
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality) 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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.
We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best‑in‑class for our users and advertisers. The year ahead is a busy one!
The Ads Marketplace Quality team is growing and we are looking for an experienced machine learning engineer and domain expert to be part of the journey of developing a world‑class marketplace and optimizing for users, advertisers and Reddit value.
In this role, you will be responsible for developing and executing a vision to improve our Ads Marketplace at Reddit. You will develop a deep understanding of our marketplace dynamics and identify areas of improvements by getting to the bottom of data, design, implement and ship algorithms to production that improve our ads marketplace efficiency. You will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org‑wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.
As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end‑to‑end algorithmic solutions and deliver values to all the three‑sided participants to our marketplace. You are expected to be part of the technical leadership at the both team and organization level, and will have the opportunity to contribute your expertise and shape the future of the ads marketplace at Reddit.
Responsibilities:
Lead and oversee the strategy development, quarterly planning and day‑to‑day execution of initiatives related to ads marketplace, auction and pricing.
Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
Oversee end‑to‑end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment that optimizes the ads marketplace efficiency.
Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
Be a cross‑functional advocate for the team, collaborate with cross‑functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.
Required Qualifications:
8+ years of experience with industry‑level product development, with at least 5+ years focused on data‑driven, marketplace‑optimization problem space at scale.
Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
Solid understanding of large‑scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
Proven technical leadership in cross‑functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal).
Excellent communication, mentoring, and collaboration skills to align teams on a long‑term vision for ads marketplace optimization.
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 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.
Reddit U.S. Equal Employment Information Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform.
Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.
We invite you to self‑identify across the identities below so we can better understand our talent pools and assess our effectiveness in attracting and recruiting people to Reddit from all backgrounds.
Answering these questions will not impact your application, nor will this information be shared with anyone making a hiring decision. For more information, please refer to our statement here .
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By checking this box, I consent to Reddit collecting, storing, and processing my responses to the demographic data surveys above. *
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