Lead development and production delivery of forecasting and scenario models for advertising outcomes—connecting supply, demand, and response to estimate delivery, reach, and performance under alternative budgets, bids, audiences, creative, and objectives. Hands-on technical leadership, model evaluation, and collaboration with Product, Ads Delivery, Audience, and Creative teams. Base salary range $230,000–$322,000 USD (base/year).

Lead and grow an ML-focused engineering team responsible for foundational models and user/content understanding for Reddit ads ranking. Define technical vision and roadmap, collaborate with product and platform teams, and oversee the full model lifecycle (training, evaluation, deployment). Minimum stated experience: 6+ years building and scaling ML models, 1+ year managing ML-focused teams, and 4+ years hands-on with TensorFlow or PyTorch.

Join Reddit's Safety and Moderation organization as a Staff Backend Engineer for User Safety. The role is remote-friendly within the United States and involves building proactive detection, automation, and tools to keep the platform safe. Responsibilities include full development lifecycle (design, development, test, experimentation, launch), driving technical and product strategy, architecture, operations, code review, and leading and mentoring engineers. Requires 8+ years of software development experience and experience in one or more of Go, Python, Rust, or Ruby. Base salary range listed: $217,000–$303,900 USD per year.

Lead the scientific direction for consumer problems across discovery, relevance, personalization, growth, retention, content, and communities. Build models and measurement systems representing users, content, and communities; set experimentation and evaluation strategies; address ecosystem interactions and long-term value; partner with Product, Engineering, and Research; mentor senior data scientists.

The role owns end-to-end performance optimization for production ML workloads: identifying bottlenecks, implementing and validating improvements, and rolling changes to production. Requires hands-on experience profiling and benchmarking ML systems, deep expertise in areas like inference execution, runtimes, compiler integration, GPU/kernel optimization, and strong software engineering skills (Python and systems programming). The position partners with model and platform teams to build reusable performance tooling and ensure safe, measurable impact on production workloads.

Turn AI capabilities into practical solutions across Sales, Marketing, Business Development, and Finance by prototyping and productionizing AI-native workflows, integrations, and automations. Own discovery through launch and adoption, implement enterprise integrations, LLM retrieval, observability, evals, and human-in-the-loop controls, and transfer maintainable workflows to function owners.

Responsible for setting vision and technical direction for applied AI at Reddit, identifying high-value opportunities, building and productionizing AI-native workflows and agents, integrating data and enterprise tools, defining evals and controls, and mentoring engineers. Role is remote (United States) and requires 8+ years building software and production experience with LLMs, agents, integrations, and enterprise patterns.

Lead ML projects for the Answers Relevance team, delivering production systems including retrieval, ranking, embeddings, and LLM-powered features. Requires 4+ years building, deploying, and operating production ML systems; experience with TensorFlow, PyTorch, or Hugging Face and production-quality Python code; Golang is a plus.

Join Reddit's ML Platform (ML Data Team) to design, implement, test, and operate ML infrastructure including signal-governance, prediction logging, and training-data systems. Requires 5+ years in ML platform work, experience with large-scale batch and streaming pipelines, distributed systems, and production reliability/observability practices. Base salary range (US) provided.

Lead and develop a team building Reddit's Knowledge Graph Platform: set technical roadmap and operating standards (SLOs, observability, data quality/governance), leverage LLMs and agentic patterns for graph construction, partner with engineering and domain teams, and drive platform adoption for internal consumers. Requires 8+ years software engineering experience and 2+ years managing teams; remote (US & Canada only).

Build state-of-the-art generative pipelines and end-to-end image/video editing capabilities for ad creative, including LLM/VLM fine-tuning and RLHF/RLPF using ad performance signals (CTR/CVR). Lead implementation of safety, brand-preservation, and compliance systems while partnering with Product, Sales, Policy, UX, and Ads ML teams to integrate capabilities into the ad product.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve ML training and serving efficiency at scale. Requires 5+ years software engineering experience, strong Python skills, experience with distributed systems and ML infrastructure, and familiarity with GPU performance, distributed training frameworks (PyTorch Distributed, Ray, TensorFlow, Spark), and systems languages (Go/C++/Rust/Java).

Remote (US) staff Machine Learning Engineer role within Reddit's Ads Ranking org. Responsibilities include designing and training deep learning models (DNNs, transformers), developing features and embeddings, working with infra and data teams on deployment and feature serving, mentoring other engineers, and shaping long-term modeling strategy. Requires 7+ years industry experience and strong experience with TensorFlow or PyTorch, recommendation/ads ranking domains, large-scale datasets, and production ML.

Technical lead for retrieval modeling on Reddit's Ads Retrieval ML team. Responsibilities include designing and launching candidate-generation and retrieval models (embeddings, two-tower models, sequence/graph methods), working with ANN/vector retrieval systems, establishing evaluation and experimentation practices, mentoring engineers, and partnering with ads, ranking, and product teams. Requires 7+ years industry experience and deep experience with retrieval, recommender systems, deep learning frameworks (TensorFlow/PyTorch), and production ML workflows.

Lead development and production of ML systems for AI security (detecting prompt injection, jailbreaks, sensitive data exposure, unsafe AI behavior). Responsibilities include model selection and fine-tuning, building reproducible training/evaluation pipelines, improving inference performance and reliability, owning training-data quality and model lifecycle, and establishing responsible ML best practices. Requires 8+ years experience, strong Python and deep learning framework skills, and expertise in distributed training and adversarial evaluation.

Lead measurement, detection, and enforcement strategy for ads fraud at Reddit: define taxonomies and metrics, analyze large behavioral datasets, and build scalable detection/enforcement pipelines (features, models, rules, scoring, feedback loops). Requires an M.S. + 4+ years or Ph.D. + 2+ years of industry data science experience and fluency with Python, SQL, statistical analysis, fraud-detection methods, and production ML systems; experience with LLMs, graph analysis, and streaming/batch pipelines is valued.

Senior Staff ML Systems Engineer responsible for architecture and technical strategy across feature platforms, training-data systems, offline experimentation, and ML development workflows. Role requires partnering with Ads, ML Platform, Data Platform and engineering teams, mentoring senior engineers, and shipping platform abstractions to speed and harden ML development. Requires 8+ years in infrastructure/distributed systems and 4+ years building or operating production ML infrastructure; mentions experience with Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, or Databricks.

Lead and grow a team of ML engineers to define technical vision and deliver large-scale production ML solutions (including transformer/sequence/LLM models) for feed relevance and media ranking. Partner cross-functionally, maintain operational excellence, and drive hiring and team development. Requires 5+ years leading ML teams.

Remote (United States) Senior Staff ML Engineer role at Reddit to lead development of GenAI-powered recommendations and core feed ranking architectures. Responsibilities include setting technical direction across Relevance and Feeds teams, delivering high-impact initiatives, and mentoring senior engineers. Qualifications require 10+ years industry experience in relevance/recommendation and large-scale ML systems. Base salary range provided: $266,000–$372,400 USD per year.

Senior technical role leading measurement, identity-resolution, and signal-quality work for Reddit ads. Responsibilities include developing probabilistic identity models, running large-scale experimentation and lift measurement, defining evaluation frameworks, and collaborating with engineering, product, and sales. Requires an advanced degree (M.S. or Ph.D.) with substantial industry experience (MS: 10+ years; PhD: 6+ years) and strong skills in statistical programming (Python or R), SQL, experimentation, and modeling.