Reddit, Inc.

Machine Learning Engineer

• Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs.
• End-to-End Image & Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.
• LLM/VLM Fine-Tuning & RAG: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).
• Production-Grade Serving: Design low-latency inference stacks for diffusion and transformer models. You will solve for the trade-off between generation quality, cost-per-impression, and serving speed.
• Safety & Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.
• Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path.
• Guardrails & Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.

Staff Machine Learning Engineer, Ads Creative Effectiveness

Financial Planning and Analysis

• Provide end-to-end FP&A support for senior leaders across the Infrastructure and Engineering organizations
• Partner with key stakeholders to plan, forecast, and manage Opex, enabling informed prioritization decisions
• Develop and maintain long-range hiring plans that align with Reddit's organizational strategy
• Map engineering roadmaps to resourcing plans, ensuring headcount requests are supported by a clear business case and tied to measurable deliverables
• Collaborate with the Developer Productivity function to assess productivity metrics, track trends, and evaluate how investment drives engineering velocity
• Identify and execute initiatives that improve, automate, and scale FP&A processes
• Conduct deep-dive financial analysis to surface new investment opportunities and cost-saving levers
• Partner closely with HR, Recruiting, and Engineering leadership to actively manage headcount, ensuring teams stay within budget while maximizing productivity and impact
• Lead regular business reviews to deliver performance updates and guide strategic adjustments based on the latest data
• Perform ad-hoc, time-sensitive analysis and clearly communicate implications and recommended actions

Senior Manager, Technology FP&A

Account Manager

• Manage and co-sell with our Sales Partners across APAC, ensuring they are meeting and exceeding their advertising revenue goals by providing platform education, vertical-specific narratives, and pitching alongside them in-market
• Enable the local partners at scale and work closely with the scaled sales teams & XFN teams to identify best practices & playbooks for our partners.
• Work closely with the partner to understand their needs in order to successfully represent us in market. Enable the local partners through trainings & webinars and work closely with the scaled sales teams & XFN teams to identify best practices & playbooks for our partners.
• Translate partner needs by collaborating with Product and Marketing to provide feedback and insights, drive product enhancements and new product launches, and align on market positioning
• Own your business by collaborating with Channel Partnerships org leadership and your reseller partners to define sales strategy and tactics for your markets that will drive revenue growth
• Stay up-to-date with industry trends, market dynamics, and the competitive landscape, working with your Channel Partners to identify new opportunities and ensure the Partner is delivering the highest impact
• Hold partners accountable by tracking achievement toward revenue targets, setting appropriate expectations, and troubleshooting challenges to goal attainment
• Identify new partnership opportunities, including identifying new partners, expanding within existing reseller partnerships, and renegotiating terms of new and existing reseller agreements
• Represent Reddit in emerging markets by speaking at key industry events and identifying joint marketing opportunities.
• Travel required.

Channel Partnerships Lead

Full-stack Engineer

• Collaborate with product managers, designers, and other engineers to understand requirements and translate them into working software.
• Design, build and ship full-stack features across frontend and backend services.
• Own services end‑to‑end: technical design, implementation, testing, observability, SLOs, incident response, and iterative hardening.

Junior Full-Stack Software Engineer

• Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking models.
• Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
• Own experimentation strategy: offline metrics, A/B design, readouts, and “next iteration” planning.
• Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis.
• Mentor other MLEs and contribute to modeling best practices across the org.
• Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.).

Senior Staff Machine Learning Engineer, Ads Ranking

• Architect and significantly influence ML training/serving systems and tooling that unlock faster iteration and larger models.
• Drive adoption and reliability of ML systems and own a portfolio of initiatives across multiple teams.
• Improve efficiency: GPU utilization, training runtime, data loading, feature performance, and serving latency.
• Write high-quality design docs; run design reviews; set standards for correctness, reliability, and velocity.
• Partner cross-org on shared infra sequencing, requirements, and adoption.
• Mentor other engineers and contribute to engineering best practices across the org.

Senior Staff ML Infra Engineer, Ads Ranking

• Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit’s products in Go, C++ and sometimes Python.
• Dive deep into the codebase of supported storage systems to understand system internals.
• Be able to make system level improvements, enhancements and implement complex code modifications.
• Engage actively with the open-source community to implement and upstream changes to the OSS codebase.
• Contribute to the design and implementation of high-performance, large-scale distributed storage systems to power various use cases at Reddit.
• Collaborate closely with engineering teams and stakeholders to integrate storage capabilities into broader storage infrastructure and use cases across Reddit.
• Mentor and guide other engineers on how to design, build and evangelize vector storage services across Reddit

Staff Software Engineer, Storage

• Lead technical strategy across company's ad product engineering efforts
• Architect systems spanning entire Reddit stack
• Identify bottlenecks in software building processes and drive systemic changes
• Mentor Staff and Senior engineers, guiding their career growth

Principal Software Engineer, Ads

Product Manager

• Own The Product Strategy: You will define the monetization vision for highly intentful search related experiences at Reddit, optimizing for long term success.
• Provide Leadership: You will be the overall E2E owner of the area - leading strategy, development, and launch of advertising products for all search related advertising within Reddit including Reddit Answers (our generative AI search experience), as well as users who visit us via referrals from Search Engines and LLMs.
• Collaborate With Teams Across the Org: You will work closely with Consumer, Formats, Marketplace, and UX teams to build surfaces that incorporate ads natively and sensibly with the goal of retaining searchers and maximizing their engagement on the platform.
• Turn Product Vision Into Reality: You will translate business goals and user needs into clear product requirements, guide technical trade-offs, and ensure alignment across teams.
• Drive Monetization: Lead the monetization efforts for search related activities on Reddit.
• Make Data-Driven Decisions: Use a deep understanding of metrics, analytics, and competitive research to define product strategy, identify opportunities for improvement, and shape the evolution of our ads offerings.
• Impact the Bottom Line: Define and own KPIs that track advertiser outcomes, user engagement, and marketplace efficiency - with a strong focus on revenue growth, user experience, and long-term sustainability.