Reddit, Inc.

Machine Learning Engineer

• Architect and implement state-of-the-art pipelines for ad creative generation
• Build systems for product, font, logo, and brand asset preservation using techniques such as IP-Adapters and LoRAs
• Build image and video editing capabilities for smart-cropping, inpainting, outpainting, resizing, and style transfer
• Fine-tune large vision-language models to understand effective ad aesthetics
• Build feedback loops using CTR and CVR metrics to fine-tune generation through RLHF/RLPF for ads
• Engineer filtering and safety systems to prevent non-compliant, unsafe, or copyright-infringing content
• Collaborate with Product, Sales, Policy, UX, and Ads ML teams
• Integrate Ads Creative Effectiveness capabilities into the Ad Manager UI and ad delivery path
• Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths

Staff Machine Learning Engineer, Ads Creative Effectiveness

Full-stack Engineer

• Build and evolve user-facing iOS experiences for discovering, consuming, creating, and engaging with content and communities
• Lead projects through the full development lifecycle, from product definition and technical design to implementation, experimentation, launch, and ongoing improvement
• Partner with product, design, data science, ML, backend, and platform teams
• Translate technical capabilities into intuitive experiences and deliver measurable user impact
• Improve iOS architecture, performance, reliability, accessibility, developer workflows, and engineering standards
• Mentor teammates and drive cross-functional technical initiatives
• Support consumer teams including Core Product & Feeds, Community & Presence, Growth & Engagement, Monetization & Conversion, and Identity & Security

iOS Software Engineer, Consumer Engineering

Financial Planning and Analysis

• Collaborate with cross-functional teams to identify and assess opportunities to drive users and revenue, emphasizing consumer and ads products, sales, and marketing
• Establish partnerships with key stakeholders to execute initiatives from ideation to completion
• Influence decisions and drive change through clear recommendations, constructive challenge, and stakeholder alignment
• Build models, forecasts, and business cases for planning, investment, and resource allocation
• Conduct market research on industry trends, competitive landscape, and user and advertiser needs
• Develop and present strategic growth initiatives
• Work with Investor Relations partners to target growth in areas of investor interest
• Monitor and evaluate strategic initiatives, adjusting as needed
• Improve processes and reporting; drive adoption and share expertise across teams

Senior Strategic Finance Manager

• Define a unified user understanding framework and long-term technical strategy
• Lead advanced user models and large-scale representation learning across Feeds, Notifications, Search, and Ads
• Leverage LLMs and GenAI for dynamic user profiles, intent inference, and semantic reasoning
• Design storage, retrieval, feature pipelines, APIs, and large-scale learning and serving components
• Ensure low-latency serving, high availability, and MLOps integration
• Drive experimentation and adoption with Feeds, Notifications, Search, Ads, product, infrastructure, and downstream ML teams
• Mentor senior and staff engineers, lead design reviews, and establish engineering best practices

Senior Staff Machine Learning Engineer, ML Understanding

Performance Marketing

• Build intuitive, accessible interfaces that help advertisers create and manage campaigns.
• Partner with product managers, designers, and backend engineers to turn advertiser needs into scoped projects.
• Own technical design, implementation, testing, and release for medium-sized frontend projects.
• Communicate progress, dependencies, and risks early so partners can plan around them.
• Review code and document technical decisions to help the team maintain and extend its work.
• Improve frontend performance and reliability, address bugs, and contribute reusable components and patterns.
• Own medium-sized frontend projects from requirements clarification and technical solution proposals through implementation and release.

Frontend Engineer, Ads Campaign Manager

Payroll

• Own and scale international payroll operations across LATAM, EMEA, and APAC
• Manage, audit, and execute multi-country payroll delivery across 15+ international countries
• Handle payroll inputs, validation, approvals, funding coordination, reconciliations, statutory filings, and post-payroll activities
• Lead payroll calendars and operating cadences across countries, managing dependencies, cutoffs, exceptions, and risks
• Partner with local in-country payroll providers
• Oversee international equity compensation payroll processing for RSUs and Stock Options
• Ensure compliance across international tax jurisdictions, localized statutory benefits, and reporting requirements
• Act as functional lead for payroll technology projects using Workday
• Automate workflows, optimize system configurations, build custom reporting, and support global payroll solution implementations
• Partner with Benefits, People Operations, Legal, and Finance
• Manage external vendor relationships and third-party tax fulfillment partners
• Establish, document, and enforce global payroll policies, SOX controls, and standard operating procedures
• Support audit readiness, including 401k, Workers’ Comp, and financial audits
• Support M&A integrations, new country market entries, and business-critical cross-functional launches
• Report to the Sr. Global Payroll Manager

International Payroll Analyst

• Design and train advanced ML models, including DNNs and transformers, to power Reddit Ads Ranking
• Develop and optimize features including embeddings, contextual signals, and cross-session behavior
• Work with product, infrastructure, and data teams on end-to-end model deployment and performance analysis
• Mentor other machine learning engineers and contribute to modeling best practices across the organization
• Shape the long-term modeling vision across conversion, app ads, shopping, brand, or related domains
• Join Reddit’s Ads Ranking Organization and App Ads Modeling team
• Report directly into the Ranking Organization

Staff Machine Learning Engineer, App Ads Modeling

Data Scientist

• Lead a multi-team Consumer Data Science organization partnering across Consumer, Product, Engineering, and the broader business
• Set the strategy and operating model for consumer data science
• Define company-level bets, priorities, and tradeoffs with senior leaders
• Set data science strategy for feed, recommendation, search, retrieval, and ranking systems
• Establish measurement and experimentation frameworks for relevance optimization
• Translate complex user and community behavior into insights that improve product strategy and consumer outcomes
• Establish standards for measurement, experimentation, causal inference, reproducibility, privacy, responsible AI, and self-serve measurement
• Build multi-team roadmaps, operating cadences, and accountability mechanisms
• Exercise technical judgment across architecture, analytical systems, hiring, and high-leverage programs
• Build reliable, adoptable, and scalable analytical systems and practices
• Recruit, retain, and develop Directors, managers, and IC5+ leaders
• Set talent standards through succession planning, calibration, coaching, performance, accountability, and growth
• Create cross-organizational forums and operating mechanisms
• Align senior leaders on measurement strategy, tradeoffs, and multi-year decisions
• Represent Reddit as a thought leader and culture shaper for rigor
• Partner with teams advancing ML and analytical systems for Reddit’s UGC and community ecosystem

Senior Director, Data Science

• Refine and maintain data infrastructure technologies supporting ML and analytics workflows
• Own the Data Movement Platform for batch and stream data processing
• Build infrastructure for Spark, Flink, and Airflow, including open-source contributions as needed
• Build automated solutions that reduce toil and provide declarative, self-service data workflows
• Share on-call responsibilities and support monitoring and alerting
• Improve the reliability, scalability, latency, and efficiency of Reddit’s Data Platform
• Collaborate with teammates and partner teams to create and improve scalable, fault-tolerant, self-serve systems

Software Engineer, Ingestion Platform

• Partner with Product Management, Product Design, Data Science, and Client Engineers across iOS, Android, and Web
• Translate business and user needs into reliable, low-latency technical solutions
• Own the full software lifecycle for major product initiatives, from technical design documents and API contracts through development, testing, rollout, and observability
• Design, build, and evaluate A/B experiments
• Analyze user behavior, conversion funnels, and retention loops using BigQuery, HEX, or Firebase
• Build and maintain scalable GraphQL, REST, and gRPC APIs
• Develop distributed backend services optimized for client consumption and consumer UI performance
• Establish engineering best practices and improve developer workflows
• Mentor teammates and use modern AI-integrated tools to ship high-quality products efficiently
• Support consumer teams including Core Product & Feeds, Community & Presence, Growth & Engagement, Monetization & Conversion, and Identity & Security

Senior Frontend Software Engineer, Consumer Engineering

Frontend Engineer

• Partner with Product Management, Product Design, Data Science, and Client Engineers across iOS, Android, and Web
• Translate business and user needs into reliable, low-latency technical solutions
• Own the full software lifecycle for major product initiatives, from technical design documents and API contracts through development, testing, rollout, and observability
• Design, build, and evaluate A/B experiments
• Analyze user behavior, conversion funnels, and retention loops using tools such as BigQuery, HEX, or Firebase
• Build and maintain scalable GraphQL, REST, and gRPC APIs
• Develop distributed backend services optimized for client consumption and consumer UI performance
• Establish engineering best practices and improve developer workflows
• Mentor teammates and use modern AI-integrated tools to ship high-quality products efficiently
• Build and scale Reddit products for content discovery, community participation, and user connection

Front End Software Engineer, Consumer Engineering

• Define the technical direction and multi-year roadmap for ads retrieval modeling
• Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces
• Apply two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and deep learning techniques
• Improve objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth
• Work with approximate nearest-neighbor and vector retrieval systems
• Evaluate recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs
• Establish evaluation practices connecting retrieval metrics to ads and user outcomes
• Lead offline analysis and online experiments and translate findings into modeling iterations
• Partner with ranking, ads platform, auction, measurement, and product teams
• Write design documents, review code and model changes, and improve modeling, testing, observability, and production ownership
• Mentor ML engineers and grow expertise in retrieval, recommendation, and representation learning

Staff Machine Learning Engineer, Retrieval

• Partner with Product Management, Product Design, Data Science, and iOS/Android/Web client engineers to translate business and user needs into reliable, low-latency technical solutions
• Own the full software lifecycle for major product initiatives, from technical design documents and API contracts through development, testing, rollout, and observability
• Design, build, and evaluate A/B experiments
• Analyze user behavior, conversion funnels, and retention loops using tools such as BigQuery, HEX, or Firebase
• Build and maintain scalable APIs and distributed backend services optimized for client consumption and consumer UI performance
• Establish engineering best practices and improve developer workflows
• Mentor teammates and use modern AI-integrated tools to ship high-quality products efficiently
• Contribute to consumer products for content discovery, communities, growth, engagement, monetization, conversion, identity, and security

Software Engineer, Consumer Engineering

• Partner with Product Management, Product Design, Data Science, and client engineers to translate business and user needs into reliable, low-latency technical solutions
• Own the full software lifecycle for major product initiatives, from technical design documents and API contracts through development, testing, rollout, and observability
• Design, build, and evaluate A/B experiments
• Analyze user behavior, conversion funnels, and retention loops using tools such as BigQuery, HEX, or Firebase
• Build and maintain scalable APIs and distributed backend services optimized for native mobile and web applications
• Establish engineering best practices and improve developer workflows
• Mentor teammates and use modern AI-integrated tools to ship high-quality products efficiently

Staff Software Engineer, Consumer Engineering

• Lead the development and evolution of Reddit’s Ingestion Platform
• Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads
• Own the architecture and evolution of the platform’s control plane and data plane
• Expand the platform to support S3/GCS, Apache Iceberg, transformations, deduplication, dead-letter queues, and reusable capabilities
• Build connectors and abstractions for Kafka, BigQuery, S3, GCS, Iceberg, Flink, and other data stores
• Improve the self-service experience through APIs, safe defaults, automated provisioning, documentation, onboarding workflows, observability, and alerting
• Lead migrations from bespoke and legacy ingestion systems to the Ingestion Platform
• Establish reliability, security, and operational practices for pipelines across Kubernetes clusters
• Identify architectural and product-experience gaps and lead redesigns
• Collaborate with Infrastructure, Data Platform, Product, Ads, ML, Storage, and partner teams
• Mentor and guide backend and data infrastructure engineers across the company