Reddit

• Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable ML pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production. • Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. • Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices. • Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost) • Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&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. • 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.

• Define and execute the org-wide client architecture strategy to support seamless video creation, editing, and uploading directly within our shared composers. Establish the patterns for how all future formats integrate into the client layer. • Build and scale new contribution formats natively within the shared post and comment experiences. Unblock execution for high-upside strategic bets designed to reduce identity-risk barriers for sensitive content and productize viral, low-effort creation formats that convert passive consumers into active contributors. • Serve as the technical anchor for the Contribution engineering team and influence the broader Content Ecosystem org. Translate complex product requirements into actionable technical roadmaps and drive alignment across Web, iOS, and Android platforms. • Thoughtfully utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgment to validate and own the final outputs. Evangelize AI as a tool. • Lead the engineering of highly performant client infrastructure. You will tackle challenges like zero-latency rich-text rendering, resilient edge-optimized media upload pipelines, and complex state synchronization for offline and online editing to maximize global contribution success rates.

• Architect for Scale: Define and execute the org-wide client architecture strategy to support seamless video creation, editing, and uploading directly within our shared composers. Establish the patterns for how all future formats integrate into the client layer. • Accelerate Product Roadmap: Build and scale new contribution formats natively within the shared post and comment experiences. Unblock execution for high-upside strategic bets designed to reduce identity-risk barriers for sensitive content and productize viral, low-effort creation formats that convert passive consumers into active contributors. • Mentorship & Org Leadership: Serve as the technical anchor for the Contribution engineering team and influence the broader Content Ecosystem org. Translate complex product requirements into actionable technical roadmaps and drive alignment across Web, iOS, and Android platforms. • Leverage Modern Tooling: Thoughtfully utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgment to validate and own the final outputs. Evangelize AI as a tool. • Optimize Contribution Funnel: Lead the engineering of highly performant client infrastructure. You will tackle challenges like zero-latency rich-text rendering, resilient edge-optimized media upload pipelines, and complex state synchronization for offline and online editing to maximize global contribution success rates.

Role Description Design, develop, and train advanced machine learning models, including: - Deep neural networks - Transformer-based architectures - Reinforcement learning systems To power large-scale online advertising ranking and optimization platforms. Responsibilities include: - Lead the development and optimization of complex feature representations, including: - High-dimensional embeddings - Contextual and temporal signals - Cross-session user behavior modeling - Drive end-to-end model lifecycle execution, including: - System architecture design - Large-scale experimentation - Model deployment - Performance monitoring - Iterative infrastructure improvements in production environments - Collaborate closely with product, data, and infrastructure engineering teams to: - Translate business objectives into scalable, statistically rigorous modeling solutions - Conduct advanced experiment design and causal analysis to: - Evaluate model impact - Inform strategic decisions - Provide technical leadership and mentorship to machine learning engineers - Contribute to organization-wide modeling standards, best practices, and long-term technical strategy - Shape the long-term modeling vision across multiple advertising domains, including: - Conversion optimization - Application advertising - Shopping - Brand advertising Full-time telecommuting is an option. Qualifications - Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline - 3 years of experience in the job offered or related occupation Requirements - Python, Java, and Scala - C++, Go, or Rust - Major machine learning frameworks and libraries - Applied statistics, hypothesis testing, and experiment design for online machine learning systems - Large-scale data processing and analytics frameworks - Deployment and operation of production systems in containerized and distributed environments - Designing and training advanced models, including deep neural networks, transformer-based architectures, and reinforcement learning models - Marketplace dynamics, such as real-time bidding (RTB) or pacing control systems - Developing and optimizing online advertising systems, including ad ranking, targeting, and marketplace - Providing technical leadership, mentorship, or guidance to other machine learning engineers - Any suitable combination of education, training, and/or experience is acceptable Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love. • Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks. • Continuously learn and improve your technical and non-technical abilities.

• Lead efforts to scale the adoption of Reddit's lower funnel ads products, increasing advertiser engagement and performance revenue. • Develop and manage programs to support product adoption across Mid-Market (MM) advertisers and sales teams in North America. • Identify critical insights, themes across your managed verticals and synthesize them into actionable recommendations for Sales, PMM, and PM. • Work with top opportunity advertisers to activate and grow strategic product opportunities. • Partner closely with Sales, Product Marketing Management (PMM), Revenue Strategy & Analytics (RSA), and Product teams to ensure seamless knowledge transfer and alignment of strategic goals. • Equip sales teams with the necessary knowledge, training, collateral, and market insights to effectively position and implement Reddit's ad products. • Advocate for advertiser needs and identify opportunities and gaps, providing feedback to PMM and Product teams to inform ongoing product development. • Understand progress to goal and identify/execute steps to accelerate outcomes. Leverage automation tools to build reporting outputs and consistent reporting cadence to Sales leadership.

• Evolve Reddit’s cross-platform design system by expanding its capabilities and developing higher-level reusable components that accelerate product development while maintaining consistency and quality. • Collaborate cross-functionally with product teams, designers, and engineers to ensure the design system and UI infrastructure effectively support real product needs. • Improve performance at scale, contributing to Android architecture, rendering patterns, and performance-focused development practices that make performance a built-in feature of the platform. • Advance accessibility across the platform, building accessible components, patterns, tooling, and documentation that help teams adopt accessibility best practices by default. • Strengthen developer experience, contributing to shared tooling, documentation, and platform improvements that help engineers build reliable, consistent UI across Reddit’s products.

• Serve as a trusted thought partner to Sales Leadership, advising on Reddit's highest-priority commercial opportunities and challenges. • Apply data-driven insights and first-principles thinking to evaluate complex business questions, identify the highest-leverage opportunities, and develop strategic recommendations that shape commercial priorities, influence executive decision-making, and drive long-term revenue growth. • Design and evolve the operating models, governance, and execution frameworks that bridge strategy and execution. • Translate company priorities into scalable ways of working that align seller behavior, enable consistent execution, and drive measurable business outcomes across the sales organization. • Build alignment across Sales, Revenue Strategy & Operations, Enablement, Product, Finance, and other cross-functional teams. • Establish success metrics and performance frameworks that measure business impact and seller effectiveness. • Continuously refine operating models through data, experimentation, and stakeholder feedback while partnering with Sales Leadership and Enablement to drive adoption of new ways of working and improve sales performance.

• Strategic advisor to sales leadership: Serve as a trusted thought partner to Sales Leadership, advising on Reddit's highest-priority commercial opportunities and challenges. Apply data-driven insights and first-principles thinking to evaluate complex business questions, identify the highest-leverage opportunities, and develop strategic recommendations that shape commercial priorities, influence executive decision-making, and drive long-term revenue growth. • Translate strategy into execution: Design and evolve the operating models, governance, and execution frameworks that bridge strategy and execution. Translate company priorities into scalable ways of working that align seller behavior, enable consistent execution, and drive measurable business outcomes across the sales organization. • Cross-functional leadership: Build alignment across Sales, Revenue Strategy & Operations, Enablement, Product, Finance, and other cross-functional teams, mobilizing stakeholders to deliver scalable commercial solutions and advance Reddit's highest-priority strategic initiatives. • Measurement rigor and change management: Establish success metrics and performance frameworks that measure business impact and seller effectiveness. Continuously refine operating models through data, experimentation, and stakeholder feedback while partnering with Sales Leadership and Enablement to drive adoption of new ways of working and improve sales performance.

• Serve as a trusted thought partner to Sales Leadership, advising on Reddit's highest-priority commercial opportunities and challenges. • Apply data-driven insights and first-principles thinking to evaluate complex business questions, identify the highest-leverage opportunities, and develop strategic recommendations that shape commercial priorities, influence executive decision-making, and drive long-term revenue growth. • Design and evolve the operating models, governance, and execution frameworks that bridge strategy and execution. • Translate company priorities into scalable ways of working that align seller behavior, enable consistent execution, and drive measurable business outcomes across the sales organization. • Build alignment across Sales, Revenue Strategy & Operations, Enablement, Product, Finance, and other cross-functional teams, mobilizing stakeholders to deliver scalable commercial solutions and advance Reddit's highest-priority strategic initiatives. • Establish success metrics and performance frameworks that measure business impact and seller effectiveness. • Continuously refine operating models through data, experimentation, and stakeholder feedback while partnering with Sales Leadership and Enablement to drive adoption of new ways of working and improve sales performance.