Manage and grow the Notifications Platform (Foundations) team responsible for notification APIs, eventing, delivery and workflow orchestration, preferences, templates, experimentation hooks, and observability. Set technical direction, partner with ML/product/engineering teams, drive the full development lifecycle, and establish practices for reliability, scalability, performance, privacy, and security. Coach engineers and communicate work to cross-functional stakeholders.

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.

Lead a team of machine learning engineers responsible for sourcing and shaping candidate inventory for Reddit's personalized feeds. Responsibilities include defining technical vision and roadmap for Feed Retrieval, overseeing design and optimization of retrieval systems, establishing measurement and experimentation practices, collaborating with ML platform and product teams, maintaining system performance and reliability, and recruiting/hiring. Qualifications include 2+ years managing ML or recommender-systems teams and hands-on experience with large-scale production ML (recommenders, embeddings, transformers/LLMs). Base salary range listed: $253,300–$354,600 USD per year.

Manage the Feed Ecosystems team to define technical vision and roadmap for recommender-system investments; oversee design and delivery of ML systems for cold-start relevance, post/community distribution, and feed quality; partner with product, design, data science, safety, ads, and platform teams; and hire and develop ML engineering talent. Requires 2+ years leading ML or recommender-systems teams and hands-on experience with large-scale production ML.

Lead and deliver cross-functional technical programs in Ads Monetization engineering, partner with engineering leaders on prioritization and tradeoffs, improve execution processes, mentor teams, and apply technical judgment for large-scale systems. Base salary range listed: $194,600–$272,400 USD per year.

Lead and grow an ML-engineering/systems team focused on model optimization, training and inference efficiency, GPU enablement, profiling, benchmarking, load testing, observability, cost analysis, and efficiency certification. Partner with ranking, ML Platform, and serving teams to deliver measurable reductions in training time, latency, and serving cost. Requires deep ML engineering experience, distributed-systems fluency, and strong managerial skills. Base salary range (US): $230,000–$322,000 USD.

Lead and grow a machine learning engineering team focused on engagement and conversion prediction for Reddit Ads. Responsibilities include technical vision, overseeing end-to-end model development and deployment, mentoring engineers, and collaborating with product, data science, and engineering partners. Requires management experience (2+ years), deep hands-on ML expertise, and 4+ years with TensorFlow or PyTorch.

Reddit seeks a Director of Engineering to lead Developer Productivity and AI initiatives—building agent infrastructure, AI-assisted code review, developer environments, LLM governance, measurement systems, and software delivery automation. The role requires 14+ years of experience in software engineering or related technical leadership, is remote for US-based employees, and has a posted base salary range of $260,800–$365,100 USD per year.

Manage and grow a team responsible for storage systems underlying Reddit's search (full-text and vector/ANN) and related ranking use cases. Work with technologies such as Milvus, Vespa, Solr, Kubernetes and languages including Go, Rust, C++, and Java to drive scalable, reliable, and high-performance infrastructure while mentoring engineers and collaborating across the engineering organization.

Lead the Conversion Modeling team at Reddit (remote in the U.S.), owning technical vision and execution for production-scale conversion prediction models (ranking/recommendation). Requires deep ML and deep learning expertise, experience with TensorFlow/PyTorch, data pipelines, production model lifecycle, and at least 2+ years managing or tech-leading ML engineering teams. Posted salary range: $230,000–$322,000 USD per year.

Lead the Embeddings Platform team at Reddit to design, implement, and maintain large-scale embedding systems (graph neural networks, transformer/sequence models, foundational models). Responsibilities include platform architecture, enabling ML engineers and data scientists, driving scalable and reliable production ML systems, and growing a high-performing team through hiring and mentorship.