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. Job Duties: Own end-to-end execution of machine learning-based targeting products including smart targeting expansion, keyword targeting, auto targeting, and user lookalikes. Own offline and online experimentation of machine learning models for improving targeting products to drive advertiser outcomes. Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes. Drive technical roadmaps and lead day-to-day project execution and contribute meaningfully to team vision and strategy. Work on large scale data systems, backend services, and product integration. Collaborate closely with multiple stakeholders on cross product, engineering, research and marketing. Telecommuting is an option. Some travel to Reddit offices may be required. Minimum Requirements: Master’s degree (or its foreign equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field Or Bachelor’s degree (or its foreign equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Python; (2) PHP; (3) JavaScript; (4) Keras; (5) Django; (6) TensorFlow; (7) MySQL; and (8) Redis. Any suitable combination of education, training and experience is acceptable. Telecommuting is an option. Some travel to Reddit offices may be required. 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 Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.104.2. 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. The base pay range for this position is: $216,700.00 - $303,400.00 USD #LI-DNI 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 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. Job Duties: Train, evaluate, and deploy sophisticated machine learning models to improve experience for millions of users. Work with data-intensive systems and write production-quality software. Collaborate with software engineers to improve the recommendation systems and models that power personalization and discovery across all of Reddit. Extract insights from data using SQL. Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate. Collaborate across disciplines and with other Machine Learning (ML) teams at Reddit to find technical solutions to complex challenges. Full-time telecommuting is an option. Minimum Requirements: Master’s degree (or its foreign equivalent) in Computer Science, Data Science, Computer Engineering or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Python; (2) AWS; (3) Docker; (4) Pandas; (5) Tensorflow or Pytorch; (6) SQL; (7) machine learning model deployments; (8) offline and online model evaluation; (9) Time Series Analysis; (10) Kubernetes; (11) Kubeflow; (12) Database Management; (13) Natural Language Processing; (14) Dash and Streamlit; (15) Google Cloud Platform. Any suitable combination of education, training and experience is acceptable. Full-time telecommuting is an option. 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 Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.51.2. 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. The base pay range for this position is: $217,000.00 - $260,100.00 USD #LI-DNI 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.

• Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems • Design, develop and maintain learning and non-learning systems • Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company • Support programming and ML teams throughout development • Establish and maintain quality guidelines for our ML applications • Disseminate ML knowledge across the organization • Improve the function of one’s team, either through individual achievement or through leadership • Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results • Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary

• Lead end-to-end machine learning initiatives focused on improving player engagement and retention, from initial concept through production deployment. • Build scalable, reusable machine learning pipelines with a focus on reliability, maintainability, and performance. • Design and manage CI/CD workflows for machine learning using tools like MLflow, Jenkins, and GitOps to enable automated and efficient model deployment. • Monitor model performance in production, implementing retraining strategies, drift detection, and continuous optimization. • Partner with cross-functional teams to translate business goals and user insights into high-impact machine learning solutions. • Mentor other engineers and help define best practices for machine learning system design, development, and deployment.