Member of Technical Staff - Model Serving / API Backend Engineer

Member of Technical Staff - Research Infrastructure Engineer

Black Forest Labs

ABOUT BLACK FOREST LABS We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. WHY THIS ROLE We're looking for engineers to build and maintain the engine that powers our mission to develop visual intelligence. From maintaining and scaling clusters, to building research platforms to accelerate the rate of innovation, this team operates with large breadth and depth. We build the systems to make multi-week/month long training possible, to orchestrate resources at scale, and at the same time efficiently, enabling the next breakthrough model. If you’re obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team would be perfect for you. WHAT YOU’LL WORK ON * Maintain research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both on application, and infrastructure side) * Scale infrastructure to meet growing research demands while maintaining reliability and performance * Collaborate with research teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency. * Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale. * Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets. * Participate in on-call rotations and incident response to maintain system reliability TECHNICAL FOCUS * Python, Bash, Go * Kubernetes * Nvidia GPU drivers, and operators * OTel, Prometheus WHAT WE’RE LOOKING FOR * Experience building or operating large-scale training platforms * Worked with large scale compute clusters (GPUs) * Proven ability to debug performance and reliability issues across large distributed fleets * Strong problem-solving skills and ability to work independently * Strong communication skills and the ability to work effectively with both internal and external partners * Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP * Experience with SLURM * Experience building or operating large-scale training platforms HOW WE WORK TOGETHER We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process. Everything we do is grounded in four values: * Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful. * Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task. * Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect. * Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos. If this sounds like work you’d enjoy, we’d love to hear from you. Base Annual Salary: EU €100,000 - €230,000 + Equity US $150,000 - $300,000 + Equity This role is based in our Freiburg / San Francisco office. We operate a hybrid model and cover reasonable travel costs — relocation is encouraged but not required. We do expect a meaningful in-person presence, and we'll discuss what that looks like for your situation during the process.

Staff Engineer, Ads Business Manager

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. TEAM OBJECTIVE The Business Manager team owns the foundational business platform that enables advertisers, agencies, and enterprise customers to operate effectively on Reddit. We build and scale the systems that define how businesses are created, structured, secured, governed, and shared across Reddit's Ads Platform and other Reddit surfaces. Our scope includes Business Manager, Business Hub, business identity, permissions, onboarding, collaboration, and governance capabilities. We are responsible for establishing a unified business identity model across Reddit and providing the tooling, controls, and policy frameworks that allow customers and internal teams to manage access, compliance, security, and organizational operations at scale. ABOUT THE TEAM On a day-to-day basis, engineers tackle complex, high-stakes challenges at the core of Reddit’s Ads Platform which include building business identity infrastructure, governance and access-control systems, Business Hub experiences, agency enablement capabilities, and enterprise-scale collaboration workflows. From ideation to delivery, our engineers are trusted with end-to-end ownership of their projects, working closely in cross-functional collaboration with product managers, UX designers, and partner teams. This hands-on approach means every team member plays a direct and visible role in delivering high-impact, user-focused solutions for some of Reddit’s most strategic advertisers. ROLE DESCRIPTION As a Staff Software Engineer on the Ads Business Manager team, you will develop a long-term technical strategy and drive execution. This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the technical direction in collaboration with other engineers, teams, and stakeholders. It is best classified as the Tech Lead archetype of Staff Engineer, and the most successful candidates will have experience serving in this capacity previously. This role needs someone with deep backend expertise who also has enough frontend experience to periodically unblock themselves.  A SUCCESSFUL CANDIDATE WILL: * Define and drive the technical strategy for business identity, governance, permissions, and organizational management systems that serve both customer-facing and internal Reddit platforms. * Lead large cross-functional projects end to end, from concept, design, and implementation through to launch and driving adoption all while ensuring the highest quality and performance. * Have a strong product sense and be able to run customer interviews, translating data and user feedback into features that inform the team’s roadmap. * Mentor engineers and leaders, share industry knowledge, and contribute to the technical growth of the team. * Disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively. * Be able to make system level improvements, enhancements and implement complex code modifications. * Collaborate closely with engineering teams and stakeholders to drive adoption of Business Manager and Business Hub capabilities across Reddit, shaping shared business identity, governance, permissions, and organizational infrastructure used by multiple products and teams. QUALIFICATIONS General Engineering Requirements * 7+ years software engineering experience building production services at scale. * Ads domain experience. * Previous experience as a Tech Lead or similar function.  * Excellent communication skills to collaborate with a service-oriented team and company. * Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment between diverse stakeholders. * Experience in solving complex system scaling and latency performance problems. * Strong proficiency in one or more AI tools for all steps of the development cycle. * Strong proficiency in one or more: Go, Python; plus experience with service frameworks (gRPC/Thrift) and API design. * Experience with distributed systems, data modeling, and event‑driven architectures (e.g., Kafka/PubSub). Preferred Requirements * Experience building identity, access management, governance, administration, or enterprise platform solutions for large-scale customers. * Ability to make UI changes leveraging AI tools like Codex.  * Experience building solutions for advertising agencies or other global enterprise customers. OUR STACK Go, Python; gRPC/Thrift; Kafka; Postgres, BigQuery, Redis, Cassandra, SpiceDB (ReBAC); Kubernetes; AWS/GCP; Javascript, Typescript 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 #li-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000—$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Staff Software Engineer - AI Applications

Plaid

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape.    Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem.    We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions they build.    Plaid’s AI-powered Experiences for Customers The explosive growth in model intelligence and increasing relevance for enterprise tasks offer a unique opportunity for Plaid to rethink from the ground up how we operate and interact with our customers for the most optimal experience.    Our early experiments in building AI agents for customer experience are paying off with huge business value. For example, our homegrown AI-powered customer support agents resolve a significant proportion of customer questions and issues within seconds, which would otherwise have required humans hours to work on.  This is just the beginning and there is so much more we could do.   The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid’s transformation into an AI-first company.   In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include: * Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond * Redefine how Plaid’s consumer link experience embed into conversational interfaces in the most seamless way * Architect the trust layer for the future of agentic commerce that will become the industry standard Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include: * Make the next step-function improvement in our homegrown customer support agent - land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc. * Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products   You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI <> Fintech will be heading longer term. Responsibilities * Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life. * Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features * Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact * Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches * Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact Requirements * Experience building backend services and working with microservices or service-oriented architectures * Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to: * Prompt engineering * Fine-tuning * Retrieval augmented generation (RAG) * Semantic search - vector database and embedding models * Agent orchestration framework * Evaluation and monitoring framework of open-ended tasks * Streaming and SSE * Common UX and design patterns for GenAI-powered products * Strong debugging and monitoring experience for production systems * Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM * Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects * Extremely curious and passionate about working in GenAI applications space Nice-to-Haves * Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases * Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations * Working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.