Reddit

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<div>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 <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><h3><strong>We are Software Engineers across multiple levels!<br /><br />The Team<br /></strong></h3>
<p>We're building Reddit's next-generation AI developer platform: a best-in-class agent stack that helps every Snoo build, test, review, and ship software efficiently while preserving Reddit's control over quality, costs, and long-term AI strategy. Our optimization harness measures and improves agents across the software development lifecycle by benchmarking models, detecting regressions, optimizing routing, incorporating production feedback, and improving developer productivity.<strong><br /><br /></strong><span>You'll report to Kyle Maxwell and partner with Platform Engineering, Infrastructure, and Developer Productivity to shape AI-assisted software development across Reddit.</span></p>
<h3>The Role</h3>
<p>As a<strong> Software Engineer, Agent Optimization &amp; Evaluation</strong>, you will lead our agent optimization and evaluation platform. You'll build systems to measure and improve agents' impact on engineering velocity, including Reddit-specific evaluation environments, intelligent model orchestration, and feedback loops that learn from production usage. This hands-on role involves writing production code and building new systems with ownership and autonomy. Strong platform and infrastructure partners will support your work on agent optimization, evaluation, and orchestration.</p>
<h3>What You’ll Do:</h3>
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<li>Design and build Reddit's agent optimization harness for evaluating, benchmarking, and improving AI agents across real software engineering workflows.</li>
<li>Develop Reddit-specific evaluation environments that accurately measure agent performance against meaningful engineering tasks.</li>
<li>Build systems for offline replay, automated evaluation, synthetic task generation, regression detection, and human-in-the-loop feedback.</li>
<li>Design model routing and orchestration strategies that optimize for quality, latency, and cost.</li>
<li>Define metrics and experimentation frameworks that measure developer productivity and engineering velocity.</li>
<li>Build tooling to analyze agent behavior, investigate failures, and accelerate iteration.</li>
<li>Partner closely with Platform Engineering, Infrastructure, and Developer Productivity teams to integrate agent capabilities into engineering workflows.</li>
<li>Help shape Reddit's long-term strategy for a flexible, model-agnostic agent platform that gives us control over our AI capabilities and economics</li>
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<h3>You Will Bring:</h3>
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<li>5-12+ years of engineering experience</li>
<li>Extensive experience building and shipping large-scale production software systems.</li>
<li>Experience designing evaluation, experimentation, benchmarking, or measurement systems for AI, search, developer platforms, or other complex distributed systems.</li>
<li>Strong understanding of modern LLMs, AI agents, and the engineering systems required to deploy them effectively.</li>
<li>Experience building systems that optimize across multiple dimensions, including quality, latency, reliability, and cost.</li>
<li>Excellent software engineering fundamentals and a passion for building production-quality systems.</li>
<li>Ability to operate independently in ambiguous environments and drive technical direction for highly strategic initiatives.</li>
<li>Strong cross-functional collaboration skills and experience working across engineering, infrastructure, and platform organizations.</li>
</ul>
<h3>Benefits</h3>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><div><div><p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>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.</p></div><div>The base salary range for this position is:</div><div><span>$109,800</span><span>—</span><span>$325,000 USD</span></div></div></div><div><p>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.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Software Engineer, Agent Optimization & Evaluation

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<div>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 <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the<strong> Answers Relevance </strong>team<strong> </strong>leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring <strong>Senior</strong> and <strong>Staff Machine Learning Engineers </strong>to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!</p>
<p><strong>What You’ll Work On<br /></strong>You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.</p>
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<p><strong>You don’t need experience in every area listed below. A background in a few may make you a great fit!</strong></p>
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<ul>
<li>Recommendations, search, content understanding, or large-scale data and ML infrastructure</li>
<li>SOTA large scale RecSys </li>
<li>Foundational retriever models</li>
<li>RAG systems, retrieval methods, LLM evaluation, or production LLM features</li>
<li>Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration</li>
<li>Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization</li>
<li>Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality</li>
<li>Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs</li>
<li>Defining product success metrics, feedback loops, and evaluation approaches, including human review</li>
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<p><strong>What You’ll Do</strong></p>
<ul>
<li>Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features</li>
<li>Set technical direction and deliver measurable user and business impact</li>
<li>Work with partner teams to shape product and technical roadmaps</li>
<li>Evaluate new AI/ML approaches and support responsible LLM development</li>
<li>Mentor engineers and contribute to long-term ML planning</li>
</ul>
<p><strong>Required Qualifications</strong></p>
<ul>
<li><strong>4–12 years of experience</strong> building, deploying, and operating ML systems in production</li>
<li>Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required</li>
<li>Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers</li>
<li>Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus</li>
<li>Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring</li>
<li>Strong communication and collaboration skills, and a record of delivering measurable product impact</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
</ul>
<p>#LI-Remote</p><div><div><div><p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>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.</p></div><div>The base salary range for this position is:</div><div><span>$216,700</span><span>—</span><span>$322,000 USD</span></div></div></div><div><p>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.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Machine Learning Engineer, Answers Relevance

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<div>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 <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.</p>
<p>Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.</p>
<p><strong>Responsibilities:</strong></p>
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<li>Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.</li>
<li>Manage a portfolio of data products that deliver high-quality, trustworthy data</li>
<li>Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.</li>
<li>Develop and implement data quality checks, conduct QA and implement monitoring routines</li>
<li>Create and manage new data integrations across internal and external systems</li>
<li>Create tools and applications for internal use that streamline data analysis and reporting. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.</li>
<li>Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.<br /><br /></li>
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<p><strong>Qualifications:</strong></p>
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<li>Bachelor's degree in computer science or a quant educational field</li>
<li>3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.</li>
<li>Strong programming proficiency in Python, SQL, Spark, Scala, etc.</li>
<li>Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.</li>
<li>Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.</li>
<li>Experience in data analysis and dashboard design.</li>
<li>Deep understanding of technical and functional designs for relational and MPP Databases.</li>
<li>Proven track record of cross-functional execution and collaboration. </li>
<li>Agentic AI-assisted development experience.</li>
<li>Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.</li>
<li>Self-starter, ability to work independently and autonomously, as well as part of a team.<br /><br /></li>
</ul>
<p>Check out our r/RedditEng post to learn more about the team, and what we do: <a href="https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/" rel="noopener noreferrer ugc" target="_blank">https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/</a> </p>
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<p><strong>Benefits:</strong></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
</ul>
<p>#LI-Remote</p><div><div><div><p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>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.</p></div><div>The base salary range for this position is:</div><div><span>$164,200</span><span>—</span><span>$229,990 USD</span></div></div></div><div><p>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.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Analytics Engineer

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<div>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 <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.</p>
<p>We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.</p>
<p>We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.</p>
<p>If you love working on complex, real-world ML problems at massive scale, this role is for you.</p>
<p><span><strong>What You’ll Work On</strong></span></p>
<p>As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:</p>
<ul>
<li>Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities</li>
<li>Intelligent advertising systems including ranking, bidding, measurement, and optimization</li>
<li>Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals</li>
<li>Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems</li>
<li>Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement</li>
</ul>
<p>You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.</p>
<p><span><strong>What You’ll Do</strong></span></p>
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<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>
<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>
<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>
<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. </li>
<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>
<li>Improve system performance across latency, throughput, and model quality metrics</li>
<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment </li>
<li>Contribute to technical strategy, architecture, and long-term ML roadmap</li>
</ul>
<p><span><strong>Basic Qualifications</strong></span></p>
<ul>
<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>
<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>
<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>
<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>
<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>
<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>
<li>Experience improving measurable metrics through applied machine learning</li>
</ul>
<p><span><strong>Preferred Qualifications</strong></span></p>
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<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>
<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>
<li>Experience working with real-time systems and low-latency production environments</li>
<li>Background in feature engineering, model optimization, and production monitoring</li>
<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>
<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>
</ul>
<p><span><strong>Potential Teams</strong></span></p>
<ul>
<li>Ads Measurement Modeling </li>
<li>Ads Targeting and Retrieval</li>
<li>Advertiser Optimization</li>
<li>Ads Marketplace Quality</li>
<li>Ads Creative Effectiveness</li>
<li>Ads Foundational Representations</li>
<li>Ads Content Understanding</li>
<li>Ads Ranking</li>
<li>Feed Relevance</li>
<li>Search and Answers Relevance</li>
<li>ML Understanding</li>
<li>Notifications Relevance</li>
</ul>
<p><span><strong>Benefits</strong></span></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
</ul>
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<div></div><div><p>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.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Machine Learning Engineer

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<div>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 <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.</p>
<p>We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.</p>
<p>We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.</p>
<p>If you love working on complex, real-world ML problems at massive scale, this role is for you.</p>
<p><span><strong>What You’ll Work On</strong></span></p>
<p>As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:</p>
<ul>
<li>Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities</li>
<li>Intelligent advertising systems including ranking, bidding, measurement, and optimization</li>
<li>Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals</li>
<li>Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems</li>
<li>Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement</li>
</ul>
<p>You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.</p>
<p><span><strong>What You’ll Do</strong></span></p>
<ul>
<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>
<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>
<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>
<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. </li>
<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>
<li>Improve system performance across latency, throughput, and model quality metrics</li>
<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment </li>
<li>Contribute to technical strategy, architecture, and long-term ML roadmap</li>
</ul>
<p><span><strong>Basic Qualifications</strong></span></p>
<ul>
<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>
<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>
<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>
<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>
<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>
<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>
<li>Experience improving measurable metrics through applied machine learning</li>
</ul>
<p><span><strong>Preferred Qualifications</strong></span></p>
<ul>
<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>
<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>
<li>Experience working with real-time systems and low-latency production environments</li>
<li>Background in feature engineering, model optimization, and production monitoring</li>
<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>
<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>
</ul>
<p><span><strong>Potential Teams</strong></span></p>
<ul>
<li>Ads Measurement Modeling </li>
<li>Ads Targeting and Retrieval</li>
<li>Advertiser Optimization</li>
<li>Ads Marketplace Quality</li>
<li>Ads Creative Effectiveness</li>
<li>Ads Foundational Representations</li>
<li>Ads Content Understanding</li>
<li>Ads Ranking</li>
<li>Feed Relevance</li>
<li>Search and Answers Relevance</li>
<li>ML Understanding</li>
<li>Notifications Relevance</li>
</ul>
<p><span><strong>Benefits</strong></span></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
</ul>
<div></div>
<div></div><div><div><div><p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>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.</p></div><div>The base salary range for this position is:</div><div><span>$185,800</span><span>—</span><span>$260,100 USD</span></div></div></div><div><p>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.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

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