About the TeamAt OpenAI, our Applications Engineering organization is at the forefront of transforming groundbreaking research into user-friendly products that reach millions globally. The Applied Foundations team is pivotal, managing the essential product and platform layers that enable seamless user experiences—from identity and access management to safety, payments, and commerce across all our applications. Our diverse teams collaborate across product engineering, infrastructure, and safety, ensuring that we deliver technology that is not only reliable but also secure and trusted on a global scale.About the RoleAs a Senior Android Engineer on the Applied Foundations team, you will play a critical role in developing the core mobile experiences that facilitate user sign-up, account management, family features, service payments, and secure interactions with OpenAI’s suite of products. This position emphasizes the creation of high-quality products and reusable Android foundations that empower product teams across various OpenAI apps to expedite their delivery while adhering to the highest standards of security, reliability, and user trust. You will manage intricate client-side systems encompassing UI, networking, local state, payment integrations, and Apple platform integrations, collaborating closely with backend, product, and safety partners to architect a robust mobile ecosystem for OpenAI on a global scale.You may be an ideal candidate if you:Possess 4+ years of professional software engineering experience.Have a strong portfolio demonstrating high-quality Android applications in production.Are proficient in Kotlin (and/or Java) and are well-versed in Android development tools and architecture components.Prioritize performance, security, and user experience in your mobile development process.Enjoy cross-functional collaboration to bring innovative product ideas to fruition.Are passionate about enhancing performance, security, and overall user experience.

At Lyft, we are driven by our mission to connect communities and enhance mobility. We focus on fostering an open, inclusive, and diverse culture that empowers our teams. As part of our Mobile Foundations team, you will play a pivotal role in developing robust software solutions that tackle large-scale challenges, ensuring our mobile applications are not only stable but also scalable and efficient.In your role as a Senior Android Engineer, you will be responsible for creating and maintaining the core systems that serve as the backbone for all Lyft mobile engineers. Your contributions will enable teams across the organization to deliver exceptional experiences that seamlessly connect people and places. You will be instrumental in building scalable infrastructure that accelerates innovation while prioritizing an outstanding developer experience. Your efforts will directly enhance the stability of Lyft as a whole.Our mobile applications are utilized by millions, and we take pride in maintaining high development standards. We follow best practices in code architecture and embrace rapid release cycles. Our codebase is primarily written in Kotlin, leveraging modern design patterns and coding practices. We also actively engage with the developer community, contributing to open-source projects, including the Kotlin language itself.

Join Us as Our First Marketing LeadFoundation is on the lookout for our inaugural marketing leader to propel our vision of revolutionizing homebuilding and enhancing the journey of buying, selling, and owning a home.About FoundationWith approximately $6.8M in backing from top-tier venture capitalists, including Y Combinator, Foundation is composed of a dynamic team formerly from Opendoor, dedicated to reshaping the future of residential real estate.Our flagship product is a cutting-edge customer experience platform designed specifically for homebuilders—think of it as the "Shopify for Homebuilders." We collaborate with large-scale homebuilders to deliver a modern digital experience, significantly boosting customer satisfaction and team productivity. In just two years, we've achieved remarkable product-market fit and impressive growth, all without a dedicated marketing team.Our Growth JourneyWe are currently navigating the first of three interconnected growth phases:AI-Driven SaaS for Homebuilding: A transformative opportunity with public-scale potential.Real Estate Enterprise Ecosystem: Homebuilders drive this ecosystem, which fosters collaboration among adjacent trillion-dollar sectors such as lending, title, home insurance, and retail.AI Native Home Operating System: This will enable seamless home buying and ownership through our platform.Your Role as Our First MarketerWe seek a hands-on, results-driven marketer passionate about transforming a key sector of the U.S. economy and redefining marketing in the age of AI.Key ResponsibilitiesYou will be pivotal in steering Foundation's next growth phases by integrating AI with marketing and real estate innovation. Your primary objectives will include:Accelerating Growth: Drive rapid expansion of our core AI-driven product line for homebuilders.

Join Our Team as a Customer Success Manager/Lead!At Foundation, we're on a mission to revolutionize the homebuilding industry and enhance the experience of buying, selling, and owning homes. We are looking for a dedicated Customer Success Manager to join our dynamic team and drive our core business forward.About UsWith $6.8M in funding from top-tier venture capitalists, including Y Combinator, Foundation is comprised of a talented team formerly from Opendoor, focused on transforming residential real estate. Our flagship product is a cutting-edge customer experience platform tailored for homebuilders — envision it as the 'Shopify for Homebuilders'. We partner with large-scale homebuilders to provide a modern digital experience that significantly boosts customer satisfaction and team productivity. Within just two years, we have achieved remarkable growth and established a strong product-market fit.The RoleAs a Customer Success Manager, you will play a pivotal role in fostering and expanding relationships with our diverse portfolio of clients. You will be the primary contact for our customers post-onboarding, ensuring they maximize their use of our platform and derive long-term value. This position requires a proactive approach in managing multiple accounts, identifying risks and opportunities, and collaborating closely with our Product, Engineering, and Operations teams.This is an ideal opportunity for someone who thrives in a fast-paced environment, enjoys tackling challenges, and seeks a meaningful role within a scaling startup. You will have the autonomy to influence our customer engagement strategies and drive significant impact.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About the Applied Foundations Team The Applied Foundations group at OpenAI focuses on protecting our technology from adversarial threats as our platforms grow. This team builds the core infrastructure that helps prevent financial abuse, large-scale attacks, and other forms of misuse that could impact user experience or disrupt operations. Role Overview OpenAI aims to advance AI in a way that is safe, reliable, and aligned with society’s values. As a Full Stack Software Engineer on the Integrity Foundations team in San Francisco, you will help maintain the trustworthiness of our platforms. Your work will involve building defenses against adversarial behaviors and ensuring our ecosystem remains secure. This role collaborates closely with engineering and cross-functional partners to design and implement systems that detect and prevent abuse, enhance user safety, and reduce risks. You will help lead efforts to ensure AI is used responsibly and sustainably. What You Will Do Design APIs for internal workflows that interact with all layers of the stack, supporting informed data model decisions. Build and integrate tools that enable internal teams to investigate safety, abuse, and risk issues, with a focus on strong access controls, auditability, and operational rigor. Work with teams across the company to develop solutions that guard against adversarial attacks while maintaining a positive user experience. Help respond to live incidents on the platform and create new infrastructure to address underlying problems. What We Look For Interest in building high-quality internal tools and a genuine concern for end-users. At least 3 years of professional software engineering experience. Ability to collaborate effectively, including with partners outside engineering. Humility, sound judgment, and a drive for continuous improvement.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

Join Our MissionFoundation is on the lookout for exceptional engineers to propel our mission of modernizing the homebuilding industry and enhancing the journey of purchasing, selling, and owning homes.About UsWith an impressive backing of $6.8 million from top venture capitalists, including Y Combinator, Foundation is formed by a team of former Opendoor professionals dedicated to revolutionizing residential real estate.Our flagship product serves as a pioneering customer experience platform tailored for homebuilders, akin to “Shopify for Homebuilders.” We collaborate with large-scale homebuilders to provide a cutting-edge digital customer experience, significantly boosting customer satisfaction and team productivity. In just two years, we’ve achieved notable product-market fit and rapid growth, supported solely by contract design.Our Growth PhasesWe are currently navigating the first of three interconnected growth phases:Innovative, AI-driven vertical SaaS for homebuilding - a public-scale potential in its own right.The enterprise ecosystem for real estate - enabling collaboration among adjacent trillion-dollar industries including lending, title, home insurance, and home services.The AI-native home operating system and interface - leveraging the network effects of the enterprise ecosystem to deliver transformative AI experiences for homebuyers and homeowners. Discover, purchase, and manage your home seamlessly with Foundation.Your RoleIn this pivotal role, you will contribute to creating the most reliable and modern customer experience platform within the homebuilding sector, transitioning traditional workflows into the AI era with insight, pragmatism, and empathy.You will work closely with product and customer teams, engaging in comprehensive stack development, collaborating with design and go-to-market teams, and owning significant portions of the platform from initial discovery to production refinement. Our focus is on real businesses, real revenue, and real users who require robust and reliable tools.

Founded in 2007, Airbnb has transformed the way people travel and connect. With over 5 million hosts and more than 2 billion guest arrivals worldwide, we believe in creating authentic experiences that foster community and connection. Join us in shaping the future of travel.The Community You Will Join:The Core Foundation team is pivotal within Product Foundation, equipping product engineers with the tools to develop top-tier features across Android, iOS, and Web platforms. We specialize in Insights & Logging, Performance & App Health, and Feature Architecture, collaborating closely with Platform (iOS/Android/Web), Analytics Infrastructure, and Data Platform teams to set scalable standards.The Impact You Will Have:As the leader of the team responsible for Airbnb's foundational solutions for client applications, you will implement the architecture patterns, performance metrics, and developer-friendly platforms that will standardize and enhance product development. Your leadership will:Set a visionary long-term direction for client foundations, influencing product engineering practices across Airbnb.Encourage the adoption of uniform, cross-platform architectures and best practices for feature development.Enhance application performance and health through guardrails, insightful analytics, and efficient tooling that streamline feedback for product teams.Establish a cohesive, high-quality event logging framework that supports reliable, data-informed decisions across various platforms.A Typical Day:Define the vision and long-term technological roadmap for Core Foundation, translating them into actionable plans and measurable goals.Facilitate alignment across Platform, Backend, and Data teams, ensuring a shared commitment to standards.Collaborate with iOS/Android/Web Platform, Analytics Infrastructure, and Data Platform teams to harmonize standards, integrate functionalities, and reduce friction for product engineers.Guide technical staff in implementing lint/compilation rules, observability defaults, and configuration patterns, driving adoption through comprehensive documentation and hands-on support.Review foundational system designs, balancing immediate delivery with long-term maintenance and scalability goals.

About Our TeamThe Applied Foundations team at OpenAI is at the forefront of safeguarding our innovative technology against diverse adversarial threats. Our primary mission is to ensure the integrity and security of our platforms as they grow.We are dedicated to defending against financial misuse, large-scale attacks, and other forms of exploitation that could compromise user experience or destabilize our operations. The Integrity Foundations team lays the groundwork and infrastructure to support this critical mission.About the RoleAt OpenAI, we aim to advance artificial intelligence in a manner that is safe, reliable, and aligned with broader societal values. The role of Software Engineer in Applied Foundations is vital for maintaining the dependability of our platforms. You will play a key role in developing strong defenses against a variety of adversarial behaviors that threaten our ecosystem.In this position, you will collaborate with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and mitigate risks across our platform. You will be at the forefront of our initiatives to responsibly and sustainably harness the vast potential of AI.Key Responsibilities:Design and enhance systems to identify and prevent various forms of abuse, including financial fraud, botting, and scripting.Work collaboratively with cross-functional teams to create solutions that defend against adversarial attacks while preserving an optimal user experience.Assist in responding to active incidents on the platform and develop new tools and infrastructure to address fundamental challenges.You will excel in this role if you:Possess a minimum of 3 years of professional experience in software engineering.Have experience in setting up and maintaining production backend services and data pipelines.Exhibit a humble attitude, a willingness to support colleagues, and a commitment to team success.Demonstrate self-direction and enjoy innovating solutions to complex problems.Take ownership of issues from start to finish and are eager to acquire any necessary knowledge to achieve your goals.Have a passion for AI safety in production environments and the skills to build effective software systems.

About Our TeamJoin OpenAI’s Applications Engineering team, where we are dedicated to transforming our state-of-the-art research into user-friendly products that reach millions of developers and users across the globe. The Applied Foundations team is at the helm of developing the essential product and platform layers that facilitate seamless experiences across our applications, covering everything from identity and access management to safety protocols, payments, and commerce. Our diverse teams encompass product engineering, infrastructure, and safety, collaborating to deliver technology that is secure, reliable, and trusted on a global scale.About the OpportunityAs a Senior iOS Engineer on the Applied Foundations team, you will be instrumental in crafting core mobile experiences that empower users to sign up, manage their accounts, access family features, make payments, ensure safety, and confidently engage with OpenAI’s products. This role focuses on developing high-quality mobile applications as well as reusable iOS components that various product teams rely on to expedite their projects while adhering to the highest standards of security, reliability, and user trust. You will manage intricate client-side systems, including UI, networking, local state, payment integrations, and Apple platform integrations while collaborating closely with backend, product, and safety teams to design the architecture that supports OpenAI’s mobile ecosystem at a global level.Your Responsibilities Will Include:Develop and deploy innovative iOS experiences that leverage the potential of AI.Enhance app performance, reliability, and responsiveness on a global scale.Create and uphold shared iOS frameworks and components for account management, trust, and commerce processes utilized across OpenAI’s mobile applications.Establish comprehensive testing frameworks and optimize app architecture for future maintainability.Collaborate with product, design, research, and backend teams to deliver impactful features.Provide technical direction to influence the evolution of OpenAI’s iOS platform.You Will Excel in This Role If You:Possess 4+ years of experience in professional software engineering.Have a strong history of developing high-quality iOS applications in production, particularly for systems that demand reliability and resilience.Have experience managing complex, mission-critical mobile systems throughout their lifecycle.Have a solid understanding of making architectural decisions within iOS development.Are eager to innovate and tackle challenges in a rapidly evolving technological landscape.

Join the Visionaries at Automat!At Automat, we are a collective of innovative technologists hailing from prestigious backgrounds at Google Creative Lab and Samsung’s innovation Think Tank. Our mission is to transform the future of business through intelligent agents that enhance operational efficiency and eventually manage enterprises autonomously. We are leaders in redefining Enterprise AI Agents and Intelligent Document Processing, creating cutting-edge tools and infrastructure to seamlessly integrate AI advancements into practical applications.We cherish curiosity, teamwork, and impactful contributions over strict credentials. If you are passionate about AI and automation, excel in dynamic and creative settings, and yearn to engage in groundbreaking projects, we invite you to apply!While this is a senior role, we believe that unique talents and perspectives can surpass traditional experience metrics. We seek an individual who can make an immediate impact from day one and contribute to our team’s learning journey.Your RoleAs an Applied AI Engineer, you will operate at the crossroads of product development, engineering, and research. You will work hand-in-hand with skilled engineers and end users to create innovative tools for our internal teams and external clientele. Your contributions will help shape technical solutions, guide strategic initiatives, and enrich our company culture.Key Responsibilities:Collaborate with product and engineering teams to gain insights into customer challengesResearch and implement real-world applications of advanced AI modelsDesign and execute impactful solutions for both internal tools and customer-facing productsInfluence engineering practices, guide product development, and foster a collaborative cultureWhat Motivates You:A passion for curiosity, creativity, and quick adaptationCreating full-stack applications that bring AI to lifeKeeping abreast of the latest trends in AI and LLM prompting techniquesChallenging the limits of what is achievable with AI agentsThriving in fast-paced, collaborative environments

About WorkOS WorkOS is revolutionizing the developer landscape by creating cutting-edge tools and APIs that empower businesses to achieve Enterprise Ready status. Our platform is the backbone for authentication, identity management, authorization, and other essential infrastructures, enabling developers to securely scale their products for large enterprises.Having recently secured a $100M Series C funding round, valuing the company at $2B, we are supported by leading investors such as Meritech, Sapphire, Greenoaks, Craft, Abstract, and Audacious. WorkOS is proud to serve many of the fastest-growing AI companies, including OpenAI, Cursor, Perplexity, Vercel, and Plaid.As AI technology evolves, WorkOS stands at the forefront of Human and Agent Authentication, Identity, and Access Control, helping businesses navigate crucial questions about agent identity and permissions. Our rapidly expanding customer base features hundreds of innovative software companies developing the next generation of enterprise-ready solutions.About the RoleWe are assembling an Applied AI team dedicated to significantly enhancing productivity across Engineering, Sales, Support, and Operations while also developing AI functionalities for our clients.As an Applied AI Engineer, you will design and deploy transformative AI systems that redefine how WorkOS develops, markets, and supports its software. You will focus on creating robust tools and workflows that are essential for daily operations, while also exploring novel AI capabilities for our users.Join a small, high-ownership team that:Identifies challenges based on measurable impact.Rapidly transitions from idea to prototype to production in days or weeks.Quickly adapts to evolving models, tools, and best practices.This role offers substantial visibility across the organization.What You’ll DoCollaborate closely with Engineering, Sales, Support, and Operations to identify high-impact internal challenges where AI can enhance efficiency or facilitate new workflows.Design and construct tools that integrate seamlessly into daily operations—agents, automations, and workflows that are reliable, observable, and easy to maintain.Leverage LLMs, embeddings, retrieval systems, and tool-calling to connect with documents, Slack, GitHub, CRM systems, analytics, support frameworks, and internal services.Transform repetitive, multi-step manual tasks into streamlined, AI-driven processes that span various applications and data sources.Stay informed about emerging models and tools, conduct focused experiments, and assist the team in continuous improvement.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Join Our Team as an Applied AI EngineerAt Rowspace, we're at the forefront of AI research and engineering, and we are looking for an Applied AI Engineer to help revolutionize how our platform uncovers vital financial insights. Your week may involve developing and deploying AI agents based on client feedback, creating evaluation frameworks for AI performance, and designing sophisticated retrieval systems to optimize AI within financial workflows.Your ResponsibilitiesIntegrate groundbreaking AI research to develop systems that comprehend financial contexts and business concepts.Construct retrieval pipelines that intelligently extract and synthesize insights from unstructured data sources such as PDFs, emails, and presentations.Develop workflows that empower AI systems to analyze financial relationships, conduct benchmarking, and perform comparative analyses.Design and maintain knowledge graphs that represent intricate financial relationships, entity connections, and market dynamics.Create evaluation frameworks to assess and enhance AI performance in investment research, due diligence, and portfolio monitoring.Implement systems ensuring traceability from AI outputs to primary data sources.Experiment with innovative LLM orchestration patterns and context management techniques tailored for financial applications.Guide the technical direction and establish best practices for AI application development at Rowspace.Engage in rapid iteration with direct customer feedback to continuously enhance AI systems based on real-world usage.Oversee the deployment and operation of production systems end-to-end, ensuring reliability, performance, and maintainability across the technology stack.

About Komodo Health We Bring Data to Life Komodo Health’s mission is to alleviate the global burden of disease. The company’s Healthcare Map integrates de-identified patient data with advanced algorithms and clinical expertise, creating a detailed view of the U.S. healthcare system. This foundation supports a suite of software applications that help partners address complex healthcare challenges, monitor patient behaviors, spot treatment trends, and identify care gaps. Komodo Health values excellence, growth, results, and enjoying the journey. The team brings together professionals from varied backgrounds who share a commitment to improving health outcomes. Role Overview: Applied AI Engineer Healthcare in the U.S. is intricate, and Komodo Health tackles these challenges through data-driven solutions. By mapping the patient journey nationwide, the company helps pharmaceutical firms, payers, and healthcare systems make decisions that improve patient care. Labs@Komodo builds AI-native platforms and systems that turn data into actionable insights. The team developed Marmot, Komodo’s AI-native product, which embeds AI into both the user interface and development workflow. By combining Komodo’s healthcare data with modern large language models (LLMs), Marmot delivers real-world insights for healthcare stakeholders. What You Will Do Design and implement end-to-end AI solutions for real products and internal tools. Work at the intersection of applied research, engineering, and product development. Integrate modern AI techniques into scalable, production-ready systems. Collaborate with product, platform, and data teams to build AI capabilities that advance healthcare data use. Location San Francisco, CA

About the Role sfcompute is hiring an Applied AI Engineer in San Francisco, CA. This position focuses on building and deploying AI models that support real business needs. The work involves using advanced technologies to create practical solutions that improve how teams operate. What You Will Do Develop and implement AI models tailored to business goals Work closely with teams across the company to understand their challenges Deliver solutions that boost productivity and efficiency