As a content aggregator, Reddit facilitates the discovery and discussion of a wide spectrum of topics. Users are empowered to share their perspectives, opinions and ideas on diverse topics, ranging from contemporary events to highly specialized interests. Latest news and trends.

Senior Frontend Engineer, Ads Formats

Reddit has a strong following of users who come to reddit to find content and have deep discussions they are interested in. Reddit offers unique and high engagement conversations, we’re the home of conversation on the internet. Our communities achieve fun, exciting, quirky things when they band together. Over the last few years we have been growing multiple ads types and now are a sizable ads player. The ad formats team has multiple ad formats that it supports and new ones it innovates on continuously.

• Vision: Increase brand outcomes (i.e. guaranteed reach/share of voice, engaged reach, awareness) through a regular cadence of innovation. Drive market relevance and capture brand budgets.
• Our team innovates on ad formats that are designed for advertisers whose goal is to increase awareness of their brand. One example of what the team is working on include a revamped version of Takeovers, which allows marketers to get guaranteed inventory on a broad portion of Reddit (eg. for a major movie release).  Another example is Reminder Ads, which will allow a user to opt-in to be alerted at a particular time relevant to the ad campaign (eg. when a movie is released).  These kind of offerings have been very successful at Reddit, and the team is looking to build on that success.
• 10 team members that include back-end, web, iOS and Android specialists, a L5, 4 L4s and 5 L3s (including the open role)
  • GEO locations of team members: Fairly even split between ET (including PM, and some work in-office in NYC) and PT (including EM).

 

Role Description

The Brand Ad Formats team is seeking a skilled Frontend engineer with a product-focused mindset to join the Brand Ad Formats team.

Responsibilities:

• Build Ad experiences and create patterns for Reddit’s Android app that enhance our ads’ performance and functionality.
• Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges.
• Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy.

Required Qualifications:

• Expertise in Frontend engineering with at least 4 years of experience
• Proficient in both Typescript and Javascript
• Strong software engineering fundamentals
• A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps within the constraints of a smartphone environment
• An openness to explore innovative approaches to software development
• Skilled at performing insightful code reviews, and receiving feedback themself

Bonus points:

• Experience working on ad tech

• Experience working on premier consumer facing sites (high production value at scale)

Technologies used on the team include:

• Languages: Typescript, Go
• Frameworks: React, Thrift, gRPC
• Datastores: Postgres, DynamoDB, BigQuery
• Tools: Kubernetes, Argo, Docker

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off
• Generous paid Parental Leave
• Paid Volunteer time off

Senior Software Engineer, AI Enablement

We’re building a home for games and interactive experiences on Reddit. We give creators a cross platform SDK, a compute environment, and all of their AI friendly tooling to build quickly.

This is a cutting-edge space, and we want someone that can help Reddit lead in AI tooling.

What You’ll Do:

• Spearhead the integration of cutting-edge AI capabilities into our Developer Platform.
• Build and maintain integrations leading AI IDE tools, including Cursor, Bolt.new, and Firebase Studio.
• Work with leading foundation models like OpenAI & Gemini.
• Fine-tune and adapt AI models, integrating them with Reddit systems to solve unique problems for our creators.
• Develop our toolchain for agentic development, leveraging protocols like MCP to enable AI agents to interact with Reddit tools and services.
• Engage directly with the community of developers and creators leveraging AI for rapid prototyping and development (‘vibe-coding’) to gather feedback and drive adoption.

Who You Might Be:

• 4+ years of experience in the Javascript & web toolchain.
• Experience using novel AI IDEs and associated toolchains.
• Experience working with and deploying OpenAI, Gemini or similar model providers.
• Interest in game development and creative spaces.

This role is 100% remote friendly. Qualified candidates must be located in Canada or the US. Optional office space is available in NYC, SF, LA, Chicago and Toronto.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• Generous paid Parental Leave
• Paid Volunteer time off

Engineering Manager, Compute Platform Orchestration

Within Infrastructure Foundations, we are looking to expand our engineering management in Compute Platform / Infrastructure: Part software engineering (SWE) this group’s responsibility spans from the Linux kernel up to our Kubernetes autoscalers and multi-cluster orchestration/federation. Developing the platform that runs Reddit requires balancing developer experience, reliability, and safety in supporting one of the world’s largest websites.

Our teams are building and maintaining the complex software needed to rapidly grow and sustain Reddit’s cloud compute production environment. Having experience managing high-performance software engineering teams is important for success in this role.  Previous experience with distributed systems at web scale (thousands of nodes, hundreds of systems) is a plus.

This is a high impact role where your positive contributions will be amplified through the Reddit technology stack and lead to direct business impact. You will work closely with other infrastructure teams, Developer Experience, Observability, Compute, Transport and dozens of product teams, such as the ML infra team, that appreciate being able to run large-scale software securely, reliably, efficiently, and scalably.

You Will

• Lead: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals to scale our infrastructure to a large multiple of what it is today by abstracting away the technical details of our compute infrastructure by building a developer-facing platform.
• Build: Hire, onboard, and build out your team to execute on a strategy and create a more efficient, scalable, and user friendly compute platform.
• Amplify: Mentor your ICs and be a leader for the team.
• Collaborate: Work together with a variety of teams across Reddit Engineering.
• Evolve: Learn and improve your own technical and non-technical abilities.

What we’re looking for

• 2-4 years experience in people management of high performing platform or infrastructure engineering teams, including setting clear goals, driving execution, developing product roadmaps, and supporting career growth.
• 5+ years experience on cloud infrastructure and compute platforms.
  • This experience should include ample time developing and shipping software.
• Strong technical judgment and ability to evaluate the quality of engineering decisions related to cloud infrastructure systems (Kubernetes, AWS, GCE). Accountability for the team’s technical output and operational decisions.
• Strong focus on scalability, performance, user experience, and quality. You are an undying advocate for the user, and you have a deep intuition for how critical infra systems work at scale and how to improve user experience through platforms.
• High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org.
• Experience in Go, Kubernetes, Argo, Flux, and other CNCF landscape projects is a huge plus.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off
• Generous paid Parental Leave
• Paid Volunteer time off

Staff Machine Learning Engineer – LS Embedding

The LS Embedding Team is at the forefront of building highly expressive, multi-entity embeddings that power Reddit’s recommendation systems. We go beyond standard two-tower architectures, leveraging Graph Neural Networks (GNNs), large-scale transformer models, and cutting-edge representation learning techniques to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale.

About the Role

As a Staff Machine Learning Engineer, you will own the technical direction for large-scale embedding models, guiding the development of state-of-the-art graph-based ML architectures and high-impact representation learning strategies. You will partner with leadership to define ML roadmaps, drive innovation in large-scale graph embeddings and deep learning techniques, and ensure scalable, efficient deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities.

Responsibilities

• Architect and lead the development of next-generation multi-entity embeddings, leveraging Graph Neural Networks (GNNs), transformers, and large-scale representation learning techniques.
• Define and execute the ML strategy for embedding models, identifying opportunities to enhance personalization and recommendation quality across Reddit.
• Lead research initiatives on scalable graph-based learning, self-supervised techniques, and real-time adaptation, bringing cutting-edge advancements into production.
• Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
• Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput.
• Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate embeddings into Reddit’s key AI-driven systems.
• Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing.
• Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem at the cutting edge.
• Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making.

Qualifications

• 8+ years of experience in machine learning engineering, with a strong focus on representation learning, large-scale embeddings, and recommendation systems.
• Expertise in Graph Neural Networks (GNNs), graph-based representation learning, and transformer architectures.
• Deep understanding of graph theory, knowledge graphs, and complex multi-entity relationships in machine learning applications.
• Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference.
• Hands-on experience with PyTorch Geometric (PyG), Deep Graph Library (DGL), TensorFlow, JAX, and large-scale ML model optimization.
• Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines.
• Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams.
• Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.
• Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders.