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United States","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>Reddit is a community of communities. It&#39;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. For more information, visit [www.redditinc.com](http://www.redditinc.com).</p>\n<p>Ads Content Understanding (ACU) is Reddit&#39;s core commercial content understanding team for Ads. The team owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations.</p>\n<p>We are looking for a Staff Machine Learning Engineer who will lead the Commercial Content Understanding roadmap for the Monetization org and act as the technical owner for ACU&#39;s signals and ML systems. Roughly 50% of their time should be spent in technical leadership and mentorship (driving designs, standards, cross-team alignment), and 50% in direct hands-on work (modeling, pipelines, and debugging complex production systems).</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team&#39;s modeling and systems craft.</li>\n<li>Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices.</li>\n<li>Drive operational excellence for ACU&#39;s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost)</li>\n<li>Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&amp;A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products.</li>\n<li>Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at Reddit scale.</li>\n<li>Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models.</li>\n<li>Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable, resilient MLOps pipelines and championing responsible AI (bias, safety, explainability) for ACU&#39;s models and signals in production.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>7+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads.</li>\n<li>Demonstrated Staff-level technical leadership: has driven architecture decisions, standards, and design reviews across multiple teams, and has aligned PMs, DSs, and engineers on shared ML systems or platforms without direct people-management authority.</li>\n<li>Excellent communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization.</li>\n<li>Strong track record building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements).</li>\n<li>Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, prompt-based classifiers, LLM-generated labels distilled into smaller models), including managing quality, cost, and latency trade-offs.</li>\n<li>Deep experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment code end-to-end.</li>\n<li>Experience designing ML systems and pipelines: offline training, feature pipelines (batch/streaming), online serving, monitoring, and experimentation for high-traffic surfaces.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>#LI-Remote</p>\n<p>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</p>","enriched_at":1777118751420},{"id":"job_b355e707-3b8","title":"Staff Engineer, Ads Trust, Fraud and Safety","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7852824","location":"Remote - British Columbia, Canada","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>Job Title: Staff Engineer, Ads Trust, Fraud and Safety</p>\n<p>Reporting to the Ad Safety Engineering Manager, the person in this role will be the primary technical driver for the new Fraud detection system, working closely with Ad Review, Billing, Policy and other Reddit Safety teams to enhance overall systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Steer: Work with the team to select, scope, and drive high-leverage projects that accelerate the development of Fraud Detection to help Reddit achieve its ambitious goals.</li>\n</ul>\n<ul>\n<li>Architect: Help define the 2+ year technical roadmap for the platform, translating complex business needs into a clear strategy for highly available and performant backend services.</li>\n</ul>\n<ul>\n<li>Build: Execute on a strategy to create world-class Fraud Detection systems.</li>\n</ul>\n<ul>\n<li>Amplify: Mentor, coach, and collaborate with other technical contributors, fostering a culture of empathetic technical excellence and proactive problem-solving.</li>\n</ul>\n<ul>\n<li>Collaborate: Work together with a variety of cross-functional teams, including Product Management, Policy and Legal, to ensure Fraud Detection meets the needs of all stakeholders.</li>\n</ul>\n<ul>\n<li>Evolve: Learn and improve technical and non-technical abilities, staying up-to-date on trends and best practices in the Fraud Detection space across the industry.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Experience: 7+ years of software engineering experience, with a track record of leading large-scale technical projects that require cross-team and cross-functional collaboration.</li>\n</ul>\n<ul>\n<li>Backend Expertise: Strong experience in large-scale distributed systems and developing highly scalable and reliable backend services.</li>\n</ul>\n<ul>\n<li>Technical Ability: Expertise in at least one general-purpose programming language (e.g., Go, Python, Scala, Java, or C++) and ability to grow expertise in Python and Go.</li>\n</ul>\n<ul>\n<li>Leadership: Demonstrated ability to disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.</li>\n</ul>\n<ul>\n<li>Communication: Excellent communication skills employed to drive toward consensus, navigate disagreements, and influence decisions across the engineering organization.</li>\n</ul>\n<ul>\n<li>Agency: A bias for action. The ability to identify what needs to be done, take the initiative to make it happen without waiting for direction, and finish the swing.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Direct experience as a Tech Lead or in a similar function.</li>\n</ul>\n<ul>\n<li>Previous success as part of an Ads team with a user base in the millions.</li>\n</ul>\n<ul>\n<li>Experience in Ads Fraud, Ad review or Ads Brand Safety</li>\n</ul>\n<ul>\n<li>Proven experience designing, building, and operating scalable platforms.</li>\n</ul>\n<ul>\n<li>Expertise in Python and/or Go.</li>\n</ul>\n<ul>\n<li>Prior experience in Fraud/Malicious actors space</li>\n</ul>\n<ul>\n<li>Proven track record of utilizing LLMs in production systems.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n</ul>\n<ul>\n<li>Family Planning Support</li>\n</ul>\n<ul>\n<li>Gender-Affirming Care</li>\n</ul>\n<ul>\n<li>Mental Health &amp; Coaching Benefits</li>\n</ul>\n<ul>\n<li>Flexible Vacation &amp; Reddit Global Days Off</li>\n</ul>\n<ul>\n<li>Generous paid Parental Leave</li>\n</ul>\n<ul>\n<li>Paid Volunteer time off</li>\n</ul>","enriched_at":1777118733434},{"id":"job_7480ded3-90f","title":"Staff Engineer - Ads Trust, Fraud and Safety","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7687749","location":"Remote - United States","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>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.</p>\n<p>Ad Safety is a growing team focusing on user safety and advertiser trust by building a robust, automated ecosystem that prioritizes Brand Suitability and Ads Integrity. This is achieved by deploying highly accurate automated ad review systems that vet content before it goes live, coupled with advanced brand safety classifications and controls that give brands granular agency over their ad adjacency along with ensuring Reddit standards are adhered to.</p>\n<p>The team is expanding its Fraud counter-measures by consolidating the identification and enforcement of deceptive ads (Malware, Phishing, Scams) and Billing fraud into a centralized platform. Collecting signals across multiple surfaces, in addition to third party vendor integration, will allow for more effective measures to analyze coordinated efforts of bad actors and pre-emptive detection of malignant intent.</p>\n<p>Reporting to the Ad Safety Engineering Manager, the person in this role will be the primary technical driver for the new Fraud detection system, working closely with Ad Review, Billing, Policy and other Reddit Safety teams to enhance overall systems. You will drive the long term strategy for the platform, setting measurable goals and taking overall ownership of a critical function in the Ads organization.</p>\n<p>This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the platform&#39;s technical direction in collaboration with other engineers, teams, and stakeholders. This role acts as both a technically adept deep coder and a force multiplier. It is responsible for working cross-functionally to help establish the long-term technical vision for Fraud Detection, ensuring our systems are highly available and capable of scaling with the marketplace.</p>\n<p>In this role you will lead large-scale projects through the entire software development lifecycle, from concept through implementation until delivery.</p>\n<p>Steer: Work with the team to select, scope, and drive high-leverage projects that accelerate the development of Fraud Detection to help Reddit achieve its ambitious goals.</p>\n<p>Architect: Help define the 2+ year technical roadmap for the platform, translating complex business needs into a clear strategy for highly available and performant backend services.</p>\n<p>Build: Execute on a strategy to create world-class Fraud Detection systems.</p>\n<p>Amplify: Mentor, coach, and collaborate with other technical contributors, fostering a culture of empathetic technical excellence and proactive problem-solving.</p>\n<p>Collaborate: Work together with a variety of cross-functional teams, including Product Management, Policy and Legal, to ensure Fraud Detection meets the needs of all stakeholders.</p>\n<p>Evolve: Learn and improve technical and non-technical abilities, staying up-to-date on trends and best practices in the Fraud Detection space across the industry.</p>\n<p>Qualifications:</p>\n<p>Experience: 7+ years of software engineering experience, with a track record of leading large-scale technical projects that require cross-team and cross-functional collaboration.</p>\n<p>Backend Expertise: Strong experience in large-scale distributed systems and developing highly scalable and reliable backend services.</p>\n<p>Technical Ability: Expertise in at least one general-purpose programming language (e.g., Go, Python, Scala, Java, or C++) and ability to grow expertise in Python and Go.</p>\n<p>Leadership: Demonstrated ability to disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.</p>\n<p>Communication: Excellent communication skills employed to drive toward consensus, navigate disagreements, and influence decisions across the engineering organization.</p>\n<p>Agency: A bias for action. The ability to identify what needs to be done, take the initiative to make it happen without waiting for direction, and finish the swing.</p>\n<p>Preferred Qualifications:</p>\n<p>Direct experience as a Tech Lead or in a similar function.</p>\n<p>Previous success as part of an Ads team with a user base in the millions.</p>\n<p>Experience in Ads Fraud, Ad review or Ads Brand Safety</p>\n<p>Proven experience designing, building, and operating scalable platforms.</p>\n<p>Expertise in Python and/or Go.</p>\n<p>Prior experience in Fraud/Malicious actors space</p>\n<p>Proven track record of utilizing LLMs in production systems.</p>\n<p>Benefits:</p>\n<p>Comprehensive Healthcare Benefits and Income Replacement Programs</p>\n<p>401k Match</p>\n<p>Family Planning Support</p>\n<p>Gender-Affirming Care</p>\n<p>Mental Health &amp; Coaching Benefits</p>\n<p>Flexible Vacation &amp; Reddit Global Days Off</p>\n<p>Generous paid Parental Leave</p>\n<p>Paid Volunteer time off</p>","enriched_at":1777118720301},{"id":"job_011a3c1b-5f8","title":"Senior Staff Software Engineer, Indexing & Retrieval Platform","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7844238","location":"Remote - United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Reddit is a community of communities. It&#39;s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.</p>\n<p>The ML Indexing &amp; Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data.</p>\n<p>As a Senior Staff Software Engineer, you&#39;ll lead the development of next-generation ML Indexing &amp; Retrieval systems, owning the full lifecycle from ideation to production. You&#39;ll partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences.</p>\n<p>You&#39;ll define best practices for observability, reliability, and operational excellence in large-scale distributed systems. You&#39;ll mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles.</p>\n<p>We&#39;re looking for someone with 10+ years of experience in software engineering, specializing in Indexing and Retrieval systems. You should have 3+ years in technical leadership, architecting and scaling distributed systems in production environments.</p>\n<p>You&#39;ll need deep expertise in large-scale data platforms, including batch indexing and stream processing. You should have proven experience designing and operating large-scale, low-latency retrieval services.</p>\n<p>You&#39;ll be skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP. You&#39;ll be adept at translating complex technical challenges into clear, actionable strategies.</p>\n<p>Strong communication and mentorship skills are essential, as you&#39;ll lead through collaboration, influence, and technical excellence.</p>\n<p>Benefits:</p>\n<p>Comprehensive Healthcare Benefits and Income Replacement Programs</p>\n<p>401k with Employer Match</p>\n<p>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</p>\n<p>Family Planning Support</p>\n<p>Gender-Affirming Care</p>\n<p>Mental Health &amp; Coaching Benefits</p>\n<p>Flexible Vacation &amp; Paid Volunteer Time Off</p>\n<p>Generous Paid Parental Leave</p>","enriched_at":1777033164592},{"id":"job_ae742427-c8d","title":"Staff Android Engineer (Clients Platform)","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7833378","location":"San Francisco, CA","job_type":"full-time","experience_level":"staff","work_arrangement":"onsite","category":"Engineering","description":"<p>We&#39;re seeking a Staff Android Engineer to join our Android Platform team. As a technical leader, you will focus on three pillars: Client Health, Developer Experience, and App Architecture. Your responsibilities will include owning and shaping the architecture of Reddit&#39;s Android App, improving Android developer experience, defining and operationalizing guardrails, building and evolving Android client health and observability foundations, and mentoring and supporting Android engineers.</p>\n<p>Key requirements include 8+ years of software development experience, at least 4+ years in designing/developing Android applications, experience working in a large codebase serving 100+ engineers and millions of DAUs, mastery of modern Android development, strong background in Android platform/infrastructure, practical experience applying AI to engineering workflows, and proven ability to lead cross-functional initiatives and influence technical direction across multiple teams.</p>\n<p>Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health &amp; coaching benefits, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</p>","enriched_at":1777032943524},{"id":"job_eaa3f80f-42e","title":"Staff Android Engineer, Brand Ad Formats","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7847266","location":"Remote - United States","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>As a Staff Android Engineer, you will lead the technical strategy to turn Reddit&#39;s Video Ads into a premier offering for brand advertisers. You will partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.</p>\n<p>You will provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews. You will drive the entire development lifecycle,from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.</p>\n<p>You will raise the bar by mentoring senior engineers across teams in ad formats and establishing best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.</p>\n<p>We expect you to have 8+ years of software engineering experience (Staff level seniority), deep expertise in Kotlin and modern Android architectural patterns, completed 4+ Android development projects from ideation to deployment in production, prior experience in Ad Tech, building highly interactive/rich-media mobile experiences, and a proven track record of delivering user-facing features where UI polish and performance are critical.</p>\n<p>You will also have the ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems, experience leveraging GenAI tools to increase software engineering productivity, fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc., and an openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).</p>\n<p>You must be self-directed, innovative, and biased towards action, live to build new things and thrive in ambiguity, and have excellent communication skills to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.</p>\n<p>It would be a bonus if you have experience working on Video Ads, experience working at a scaled peer company, and experience with Jetpack Compose.</p>\n<p>We offer 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 &amp; coaching benefits, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</p>\n<p>Base salary range for this position is $217,000-$303,900 USD.</p>","enriched_at":1777032919656},{"id":"job_ea14cc4a-b83","title":"Senior Staff ML Engineer, Search & Recommendation","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7833622","location":"Remote - United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>The Search Recommendations &amp; Relevance team at Reddit is building the next generation of search - one that goes beyond “10 blue links” to deliver real answers, perspectives and conversation from the world&#39;s largest corpus of human conversation.</p>\n<p>As a Senior Staff, you will design and build a large-scale system that powers end-to-end search relevance at scale. You’ll work across multiple areas of the stack, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, RAG etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Search scale to billions of users.</p>\n<p>Key responsibilities include:</p>\n<p>Contribute to advancing Reddit&#39;s Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience.</p>\n<p>Deeply understand the Reddit search product and drive the vision for the search relevance team.</p>\n<p>Enhance core search retrieval and ranking, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components.</p>\n<p>Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges.</p>\n<p>Mentor and guide senior and staff engineers in the team.</p>\n<p>Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap.</p>\n<p>We are looking for someone with 10+ years of industry experience with deep expertise in large-scale search and recommendation systems. You should have a proven ability to identify key opportunities, define roadmaps and drive scalable improvement in search relevance. Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow is also required.</p>","enriched_at":1777032878057},{"id":"job_fcc91466-d73","title":"Staff Android Engineer, Brand Ad Formats","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7847274","location":"New York City, NY","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>As a Staff Android Engineer, you will lead the technical strategy to turn Reddit&#39;s Video Ads into a premier offering for brand advertisers. You will also build and provide technical guidance on new reddit-unique ad formats on Android, ensuring they are high performance, high quality and scalable.</p>\n<h4>Responsibilities:</h4>\n<ul>\n<li>Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.</li>\n<li>Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews.</li>\n<li>Full-Cycle Leadership: Drive the entire development lifecycle,from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.</li>\n<li>Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.</li>\n</ul>\n<h4>Requirements:</h4>\n<ul>\n<li>8+ years of software engineering experience (Staff level seniority).</li>\n<li>Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns. Completed 4+ Android development projects from ideation to deployment in production.</li>\n<li>Prior experience in Ad Tech, building highly interactive/rich-media mobile experiences.</li>\n<li>Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical.</li>\n<li>System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems.</li>\n<li>AI: Experience leveraging GenAI tools to increase software engineering productivity.</li>\n<li>Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.</li>\n<li>Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).</li>\n<li>Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.</li>\n<li>Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.</li>\n<li>An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude.</li>\n<li>Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.</li>\n<li>BS degree in Computer Science, similar technical field of study, or equivalent practical experience.</li>\n</ul>\n<h4>Bonus Points:</h4>\n<ul>\n<li>Experience working on Video Ads</li>\n<li>Experience working at a scaled peer company</li>\n<li>Experience with Jetpack Compose</li>\n</ul>","enriched_at":1777032865051},{"id":"job_f39a4915-680","title":"Senior Staff Machine Learning Engineer, ML Understanding","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7847148","location":"Remote - United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We&#39;re looking for a Senior Staff Machine Learning Engineer to lead Reddit&#39;s next-generation user understanding initiative. This role requires deep expertise in mainstream ML user modeling approaches and the ability to reimagine these systems in the GenAI era.</p>\n<p>You will set the technical direction for this space, leading the design and implementation of Reddit&#39;s core user representation layer. You&#39;ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact.</p>\n<p>This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day,what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed.</li>\n</ul>\n<ul>\n<li>Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance.</li>\n</ul>\n<ul>\n<li>Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior).</li>\n</ul>\n<ul>\n<li>Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale learning and serving: storage/retrieval for embeddings, feature pipelines, and APIs.</li>\n</ul>\n<ul>\n<li>Drive Cross-Team Integration &amp; Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics.</li>\n</ul>\n<ul>\n<li>Set Technical Bar &amp; Mentor: Mentor senior to staff engineers, lead design reviews, steward technical decisions across the user understanding domain, and champion and drive engineering processes and best practices</li>\n</ul>\n<p>Who you might be:</p>\n<ul>\n<li>You have at least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems.</li>\n</ul>\n<ul>\n<li>You have a track record of driving ambiguous, high-impact initiatives from concept to production, shaping both technical direction and execution.</li>\n</ul>\n<ul>\n<li>You are product- and impact-oriented: you care deeply about how your work moves real metrics (e.g., engagement, retention, revenue), not just model quality.</li>\n</ul>\n<ul>\n<li>You bring strong fundamentals in mainstream user understanding ML approaches (e.g., representation learning, behavioral modeling, user clustering), and understand their trade-offs in real-world systems.</li>\n</ul>\n<ul>\n<li>You are excited about the GenAI shift and have experience (or strong intuition) applying LLMs or foundation models to evolve existing systems, going beyond incremental improvements.</li>\n</ul>\n<ul>\n<li>You think in systems, not just models: you consider data, training, evaluation, serving, and adoption as a cohesive whole, and design with end-to-end impact in mind.</li>\n</ul>\n<ul>\n<li>You influence beyond your immediate team: partnering effectively with product, infra, and other ML teams, and driving alignment across multiple stakeholders.</li>\n</ul>\n<ul>\n<li>You raise the technical bar: mentoring senior engineers, leading design reviews, and establishing best practices for building reliable, scalable ML systems.</li>\n</ul>\n<ul>\n<li>You are comfortable navigating trade-offs across quality, latency, cost, and safety, especially in large-scale, user-facing systems.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n</ul>\n<ul>\n<li>401k with Employer Match</li>\n</ul>\n<ul>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n</ul>\n<ul>\n<li>Family Planning Support</li>\n</ul>\n<ul>\n<li>Gender-Affirming Care</li>\n</ul>\n<ul>\n<li>Mental Health &amp; Coaching Benefits</li>\n</ul>\n<ul>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n</ul>\n<ul>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>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/.</p>","enriched_at":1777032838364},{"id":"job_5e9a5a23-d1a","title":"Staff Android Engineer, Brand Ad Formats","source_url":"https://job-boards.greenhouse.io/reddit/jobs/7847270","location":"Chicago, IL","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>As a Staff Android Engineer, you will lead the technical strategy to turn Reddit&#39;s Video Ads into a premier offering for brand advertisers. You will also build and provide technical guidance on new reddit-unique ad formats on Android, ensuring they are high performance, high quality and scalable.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.</li>\n</ul>\n<ul>\n<li>Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews.</li>\n</ul>\n<ul>\n<li>Full-Cycle Leadership: Drive the entire development lifecycle,from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.</li>\n</ul>\n<ul>\n<li>Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>8+ years of software engineering experience (Staff level seniority).</li>\n</ul>\n<ul>\n<li>Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns. Completed 4+ Android development projects from ideation to deployment in production.</li>\n</ul>\n<ul>\n<li>Prior experience in Ad Tech, building highly interactive/rich-media mobile experiences.</li>\n</ul>\n<ul>\n<li>Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical.</li>\n</ul>\n<ul>\n<li>System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems.</li>\n</ul>\n<ul>\n<li>AI: Experience leveraging GenAI tools to increase software engineering productivity.</li>\n</ul>\n<ul>\n<li>Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.</li>\n</ul>\n<ul>\n<li>Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).</li>\n</ul>\n<ul>\n<li>Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.</li>\n</ul>\n<ul>\n<li>Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude.</li>\n</ul>\n<ul>\n<li>Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.</li>\n</ul>\n<ul>\n<li>BS degree in Computer Science, similar technical field of study, or equivalent practical experience.</li>\n</ul>\n<p>Bonus points include experience working on Video Ads, experience working at a scaled peer company, and experience with Jetpack Compose.</p>","enriched_at":1777032827246}],"category_normalised":[{"category":"engineering","count":37},{"category":"sales","count":28},{"category":"marketing","count":3},{"category":"hr","count":3},{"category":"finance","count":3},{"category":"legal","count":1},{"category":"design","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":57},{"week_start":"2026-04-20","count":19}],"trend":"stable","wow_pct":-67},"momentum":{"recent_14d":76,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":260450,"industry_median":null,"percentile":null,"sample_size":18,"by_region":[{"region":"Remote","company_median":276000,"industry_median":null,"sample":11},{"region":"United States","company_median":260450,"industry_median":null,"sample":7}],"transparency_pct":24,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":76,"industry_total":76,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.276,"skill_weighted_score":0.39,"top_exposed_titles":[{"title":"Staff Android Engineer, Brand Ad Formats","count":3,"score":0.288},{"title":"Staff Android Engineer (Clients Platform)","count":3,"score":0.288},{"title":"Senior Software Engineer, Android Test Engineering","count":3,"score":0.288},{"title":"Lead Sales Enablement Program Manager, Sales Skills & Methodology","count":3,"score":0.092}],"top_exposed_skills":[{"skill":"Causal Inference","count":4,"score":0.461},{"skill":"SQL","count":4,"score":0.461},{"skill":"Experimental Design","count":3,"score":0.46},{"skill":"TensorFlow","count":5,"score":0.424},{"skill":"PyTorch","count":5,"score":0.424},{"skill":"Apache Spark","count":5,"score":0.389},{"skill":"AWS","count":4,"score":0.374},{"skill":"Machine Learning","count":7,"score":0.358},{"skill":"Python","count":14,"score":0.353},{"skill":"Kubernetes","count":8,"score":0.353}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"Remote","count":35,"share_pct":46.1},{"region":"United States","count":33,"share_pct":43.4},{"region":"EU","count":4,"share_pct":5.3},{"region":"United Kingdom","count":3,"share_pct":3.9},{"region":"Australia/NZ","count":1,"share_pct":1.3}],"emerging":[{"region":"Remote","recent_30d":35,"prior_30d":0,"growth_pct":100},{"region":"United States","recent_30d":33,"prior_30d":0,"growth_pct":100},{"region":"EU","recent_30d":4,"prior_30d":0,"growth_pct":100},{"region":"United Kingdom","recent_30d":3,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":2,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Director, Mid-Market Sales (B2B Services)","location":"New York City, NY","posted_at":"2026-04-18"},{"title":"Senior Director, Global Strategic Accounts","location":"Los Angeles, CA","posted_at":"2026-04-18"}]},"posting_dynamics":{"median_days_open":10,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":25}}}}