Fullstack Education Engineer

About the TeamJoin our dynamic Intelligence and Investigations team at OpenAI, where our mission is to quickly identify and disrupt the misuse of AI technologies, ensuring their responsible application. We are passionate about uncovering new abuse patterns, assessing risks, and collaborating with our internal partners to develop effective strategies for mitigating potential misuse. Our work is integral to OpenAI's commitment to advancing AI for the benefit of all humanity.About the RoleAs a Fullstack Engineer specializing in Intelligence Systems, you will play a pivotal role in enhancing our Intelligence & Investigations initiatives at OpenAI, ensuring the ethical use of AI across our diverse product offerings. We are on the lookout for a proactive individual who can prototype, develop, and maintain innovative tools and processes that integrate OpenAI’s models and infrastructure, empowering our internal teams to analyze extensive open-domain datasets, combat abuse, and make informed, high-stakes decisions.In this role, you'll be the essential technical liaison bridging our data scientists, subject matter experts, and technical teams such as Platform Integrity, Safety Systems, and Research. You will lead the creation of cutting-edge tools and processes that enhance our capabilities in large-scale data collection, investigations, and comprehensive analysis.The ideal candidate will possess strong analytical skills and a solid technical background, coupled with experience in both prototyping and developing scalable systems capable of swiftly identifying emerging threats, processing vast datasets, and providing actionable insights to stakeholders. We value professionals with excellent communication skills, a passion for continuous learning, and a dedication to fostering the responsible use of AI.This position is based in San Francisco, CA, and operates under a hybrid model of three in-office days per week, with relocation assistance available for new team members.In this role, you will:Design, develop, and maintain scalable intelligence systems that identify, triage, and monitor targeted signals from both open-source and internal data sources.Interpret requirements and deliver comprehensive solutions that navigate complex intelligence challenges while ensuring high standards of code quality and scalability.Serve as a vital technical bridge connecting our Intelligence objectives with technical teams such as Platform Integrity, Safety Systems, and Research.Contribute to the development of the team’s technical strategy and design intuitive user interfaces for non-technical investigators and analysts.Prototype innovative applications and tools that enhance our investigative capabilities.

Zyphra is a pioneering artificial intelligence company located in the heart of San Francisco, California, dedicated to pushing the boundaries of technology.The Role:As a Fullstack Engineer, you will play an essential role in advancing Zyphra’s Agentic Systems and Interaction initiatives. You will be at the cutting edge of developing a state-of-the-art desktop and browser-based agent capable of autonomously navigating the web, interacting with file systems, and accomplishing intricate user tasks. Your work will encompass frontend interfaces, secure sandbox environments, large-scale document search and retrieval, and integration of language and vision models. We welcome all candidates to apply, even if they don't meet every requirement.You’ll work across:Designing and implementing diverse agentic system architectures that facilitate interaction with browsers, operating systems, enterprise file systems, and collaboration tools.Creating search and retrieval pipelines for large-scale structured and unstructured data.Developing backend layers for Retrieval-Augmented Generation (RAG) systems and other information context management systems essential for agent operations.Integrating large language models (LLMs), vision models, reinforcement learning, and scaffolding frameworks to enable autonomous, multi-step decision-making.Engineering secure virtualized runtimes and backend services for the execution of agents.Most importantly, your passion for building production-grade software is what we value.We appreciate velocity and curiosity, especially in dynamic and ambiguous settings.Requirements:Strong proficiency in Python with extensive experience in building and debugging complex end-to-end applications.Background in SaaS environments, production workloads, web interfaces, databases, search engines, and queuing systems.Experience in developing browser extensions or automation tools with detailed control over browser interactions (mouse, tabs, DOM).Familiarity with LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning.Capability to work across the entire stack, from web interfaces to control planes and data infrastructure, including queuing systems, databases, and search indexes.Experience in designing or working with secure and virtualized execution environments.A proactive mindset and a strong desire to innovate are essential.

Zyphra is a pioneering artificial intelligence company located in Palo Alto, California, committed to revolutionizing the way humans interact with technology.About the Position:As a Machine Learning Engineer at Zyphra, you will play a vital role in advancing our Agentic Systems and Interaction initiatives. You will lead the development of a cutting-edge desktop and browser-based agent designed to autonomously navigate the web, manage filesystem interactions, and execute intricate user tasks. Your responsibilities will encompass frontend interface development, secure sandbox environments, large-scale document search and retrieval, and the integration of language and vision models.Your Contributions Will Include:Crafting and implementing an advanced agentic system capable of seamless interactions with browsers, operating systems, and enterprise filesystems.Developing robust search and retrieval pipelines for expansive structured and unstructured datasets.Integrating large language models (LLMs), vision models, reinforcement learning, and scaffolding frameworks to facilitate autonomous, multi-step decision-making.Engineering secure virtualized runtimes and backend services for agent execution.Demonstrating a strong commitment to building production-grade ML systems that redefine the capabilities of software agents.Embracing velocity and curiosity, particularly in dynamic and ambiguous settings.Qualifications:Expertise in Python and proficiency in building and debugging complex machine learning applications.Hands-on experience with desktop operating systems (Windows and macOS), including APIs for screen reading, file manipulation, and accessibility frameworks.Proven track record in developing browser extensions or automation tools with precise control over browser functionalities (mouse interactions, tabs, DOM manipulation).Solid understanding of large language models (LLMs), prompting strategies, and orchestration frameworks for multi-step reasoning.Capability to navigate the entire ML stack, from model integration to serving infrastructure.Experience in designing or working with secure and virtualized execution environments.Exceptional communication and collaboration skills across product, research, and engineering teams.Preferred Qualifications:Experience in building or integrating retrieval systems.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

About NorthbeamNorthbeam is at the forefront of developing the most sophisticated marketing intelligence platform in the industry. We empower leading eCommerce brands with a consolidated view of their business analytics through innovative attribution modeling and customizable dashboards. Our cutting-edge technology enables clients to effectively monitor their advertising expenditures, comprehend the complete customer journey, and fuel sustainable growth.As we navigate through rapid expansion and a strong product-market fit, we are on the lookout for exceptional individuals to join our mission. This is a unique opportunity to create a substantial impact within a dynamic, high-growth environment. At Northbeam, you will collaborate with a team of motivated, cooperative, and skilled professionals who prioritize personal development and excellence. We would be thrilled to have you join us on this journey.We offer a remote-friendly work environment, with offices located in San Francisco and Los Angeles.About the RoleAs a Senior Fullstack Engineer at Northbeam, you will be instrumental in the design, development, and deployment of high-quality fullstack web applications that underpin our business operations. You will take ownership of significant product features from conception through to launch. Engaging closely with users, Product Managers, and our Customer Success team, you will collaborate with a diverse group of engineers and subject matter experts to create a scalable product, develop robust software components, and guarantee the reliability and performance of our platform. Your technical acumen, effective communication, and problem-solving skills will be pivotal in advancing our company and shaping the future of our technology stack.Success in this role hinges on your curiosity, readiness to tackle challenging tasks, attention to developer ergonomics, and enjoyment of the fast-paced startup development cycle.Your ImpactIdentify and resolve complex, high-impact issues, leading projects with multiple stakeholders and engineers to drive significant business results.Set the technical direction that influences our engineering team.Collaborate with product managers, our customer success team, and clients to define project scopes and develop solutions.Contribute to the development of the Northbeam dashboard, which features essential marketing analytics.Take ownership of features from idea to production-ready solutions, collaborating with engineers across the organization.Optimize our web application for top-tier speed of development and rendering times.Assist in creating standardized technical documentation for both internal and external stakeholders.

Join our innovative team at AfterQuery as a pivotal Fullstack Software Engineer, playing a crucial role in developing data infrastructure that will influence the next generation of frontier models. As one of our first hires, you will take on significant responsibilities, managing projects from inception to completion, allowing you to witness the immediate impact of your work.About AfterQueryAfterQuery is a cutting-edge research lab dedicated to exploring the frontiers of artificial intelligence through innovative datasets and experimental approaches. We serve top-tier foundation model labs and leading AI research facilities.Located in San Francisco, CA, we have secured funding from prestigious investors, including Y Combinator and BoxGroup, along with notable figures from Google DeepMind and Meta GenAI, among others.Our founding team comprises experts from renowned organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, and Stanford's AI laboratories.Why You Should ApplyExceptional Growth Potential: As one of the fastest-growing companies from Y Combinator, we aim to redefine industry standards.Founding Position: You will have the opportunity to shape our data infrastructure from the ground up.Equity and Advancement: Competitive salary and equity options, with opportunities to lead and develop an engineering team as we expand.Collaborative Environment: Work alongside a talented founding team with expertise from top firms.Your ResponsibilitiesDesign and scale intricate data capturing workflows across web technologies (Next.js) and desktop applications (Python).Develop and optimize robust data pipelines capable of handling high throughput and significant data loads.Collaborate with the founding team to outline product strategy and deliver features rapidly.Establish engineering best practices and set the foundation for future team expansion.QualificationsStrong proficiency in JavaScript (Next.js) and Python, with proven experience in developing full-stack web applications.Familiarity with serverless architecture and cloud functions for extensive data processing (GCP/AWS).Hands-on experience with storage solutions, caching (Redis), and search capabilities (Elasticsearch).

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Location: San Francisco, Bellevue, AmsterdamRole Overview: Are you a well-respected technical authority in Generative AI and MLOps, eager to shape the future of production AI Agentic Systems? This Senior Developer Advocate position offers a unique opportunity to take strategic ownership over developer engagement and technical discussions surrounding Agent Bricks on the Databricks Data Intelligence Platform.As a vital link between our engineering teams and the global developer community, you will enhance the careers of data scientists and AI engineers by integrating advanced research, customer insights, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will play a key role in fostering a global community for AI Agentic workflows and LLMOps, with a particular focus on MLflow and Agentic System governance.More About The DevRel TeamAt Databricks, we are dedicated to empowering data and AI teams to tackle the world's toughest challenges. Our mission in Developer Relations (DevRel) is to support data practitioners, data scientists, and the wider developer ecosystem by building vibrant communities, creating exceptional content, and nurturing a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.The Impact You Will HaveYou will utilize your technical expertise, community-building capabilities, and market insights to drive awareness and adoption, establishing Databricks as the premier technical leader in enterprise AI governance and Agentic Systems.Strategic Roadmap Ownership: Develop and implement the global technical advocacy strategy and roadmap for a critical aspect of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product objectives and measurable metrics.Evangelism: Collaborate with field AI engineers to design and deploy production-grade reference implementations and create impactful live demonstrations that address real-world enterprise GenAI challenges, highlighting best practices in performance, evaluation, and security. You will advocate for Agent Bricks as the definitive solution to 'Take your AI to your Data.'Technical Content Scaling: Produce high-quality, actionable educational resources, including comprehensive course materials and documentation.

Coframe seeks Agent Engineers based in the SF Bay Area to design and build scalable systems focused on generating, testing, and monitoring user interfaces. This position centers on delivering reliable solutions that support a range of products and platforms. Key responsibilities Develop systems that create consistent, production-ready experiences for multiple platforms Implement automated tools for quality assurance and interface monitoring Enable rapid experimentation and ongoing optimization Role impact Agent Engineers at Coframe play a direct role in improving optimization, accelerating experimentation, and achieving measurable results across various products and platforms.

The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.

ABOUT THE ROLE:As a Full Stack Engineer at Varick Agents, you will play a pivotal role in developing the foundational infrastructure and product interfaces that drive our agent deployments. While this position is not client-facing, your contributions will ensure that each deployment is executed with enhanced speed, reliability, and consistency.This dynamic role requires you to engage with backend services, APIs, data pipelines, and user interfaces. Your responsibilities will include creating the orchestration layer for agent execution and developing the dashboards and controls utilized by clients, ensuring that every line of code you write supports real enterprise operations.WHAT YOU'LL DO:Develop and manage backend services for agent orchestration, tool activation, and workflow execution.Design and implement product interfaces for agent monitoring, human-in-the-loop controls, and client dashboards.Construct data pipelines that integrate with various enterprise systems such as ERPs, CRMs, and data warehouses.Create internal tools that expedite deployment processes and minimize engineering time for individual clients.Ensure the reliability, observability, and performance of production systems.Collaborate closely with Frontend Developers to transform client-specific solutions into reusable platform capabilities.WHAT WE'RE LOOKING FOR:At least 3 years of experience in software engineering, specifically in building production systems.Strong understanding of backend fundamentals including APIs, databases, cloud infrastructure, and distributed systems.Proficiency in full stack development, capable of creating both backend services and the UI that interfaces with them.Production experience with Python.Familiarity with cloud infrastructures such as AWS, GCP, or Azure, including containers, managed databases, and CI/CD practices.A commitment to code quality, testing, and the deployment of stable solutions.HELPFUL EXPERIENCE:Experience integrating with enterprise systems (REST/SOAP APIs, webhooks, ETL pipelines).Knowledge of large language model APIs and agent frameworks.Frontend development experience with technologies like React or Next.js.Experience with Infrastructure as Code tools like Terraform or Pulumi.Background in building multi-tenant SaaS or platform products.Experience in startup or early-stage environments.WHY VARICK:Join an innovative team at Varick Agents where you can make a significant impact through your engineering expertise.

About the RoleHex Technologies is seeking experienced Senior and Staff-Level Fullstack Engineers who are passionate about contributing to our revolutionary Magic AI features.At Hex, we are dedicated to developing integrated AI functionalities that enhance and expedite analytics workflows. The potential here is extraordinary, and we are in a unique position to transform how individuals interpret and utilize data.In this position, you will spearhead the integration of AI-driven features into the Hex platform, collaborating closely with our Research Team for context and model prompting, as well as with other product engineering teams for seamless integration. Your efforts will significantly alter the data interaction experience for thousands of users, placing you at the forefront of one of the most exciting technological evolutions of our time. As a member of our Agent Platform Team, you will manage the scalable infrastructure that powers today's most advanced data agents and the innovative experimentation tools that enable rapid development of new AI features.

Join Pinterest as a Senior Fullstack Software Engineer and be a key player in building and enhancing our platform. You will work on both the front-end and back-end of our applications, helping to create seamless user experiences that inspire creativity. This role requires a passion for technology and a strong understanding of software engineering principles.

P-925 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues—from realizing the next mode of transportation to accelerating groundbreaking medical advancements. Our mission is to construct and operate the world’s premier data and AI infrastructure platform, enabling our customers to leverage deep data insights for business enhancement. Founded by engineers and driven by customer obsession, we eagerly embrace every opportunity to confront technical challenges, from designing next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we’re just getting started. As a Staff Fullstack Engineer, you'll collaborate with your team and product management to simplify the extraction of insights from data. We seek engineers who are customer-focused and who can take ownership of the entire product and user experience beyond mere technical implementation. You will lay the groundwork for the creation of robust, scalable, and delightful products. Here are some of the impactful experiences you will develop for our customers, guiding them through the complete project lifecycle—from data loading and results visualization to statistical model creation and production deployment: Streamlined workflows for creating, configuring, and managing large-scale compute clusters, networks, and data sources. Design, deploy, test, and enhance complex data pipelines featuring powerful data visualization capabilities. Facilitated onboarding and management processes that empower all organization members to become data-driven. Deliver an exceptional SQL-centric data exploration and dashboarding experience on Databricks. An interactive environment for collaborative data projects at a massive scale, with a clear pathway to production.

About FormalAt Formal, we are revolutionizing data security with our cutting-edge platform designed to empower teams to effortlessly understand and manage their data.We are developing an advanced protocol-aware reverse-proxy for data stores and APIs that enables organizations to gain real-time insights into their data. This innovative approach allows teams to monitor how sensitive data is stored, accessed, and utilized, thereby enforcing strict least privilege policies through techniques such as data masking, filtering, and anonymization.Our solutions have earned the trust of industry leaders like Ramp, Gusto, and Notion, who rely on us for data security, compliance, data quality management, and infrastructure access.Backed by top-tier venture capital firms, including Thrive Capital and Y Combinator, we also enjoy the support of angel investors who are executives and founders from renowned companies like Datadog, Clickhouse, Plaid, and Vanta.About the RoleFormal is committed to assembling an exceptional engineering team, and we seek passionate individuals who are eager to make a significant impact on our product and company growth.The ideal candidate possesses a profound knowledge of building scalable systems, a strong sense of ownership, and thrives on overseeing projects from their inception to full-scale production.Our current technology stack includes Typescript, NextJS, Shadcn, Vercel, and Golang.Your ResponsibilitiesDrive continuous improvements in the performance and reliability of our frontend application through code optimization and enhancement identification.Elevate existing features by integrating user feedback and executing enhancements to usability and design.Assume ownership of the frontend architecture, ensuring it is scalable, maintainable, and aligned with industry best practices.Lead initiatives that you believe will significantly impact Formal's success.Key QualificationsDemonstrated experience in software development for data-intensive platforms.Strong proficiency in modern frameworks (e.g., React, Vue.js) and backend languages (we utilize Go). Familiarity with streaming data processing frameworks like Apache Kafka and Google Pub/Sub.Experience with essential infrastructure components such as Kubernetes.

About Our TeamThe Safety Systems Organization plays a crucial role in ensuring the safe deployment of our advanced models in real-world settings, contributing to OpenAI's mission of developing and implementing safe Artificial General Intelligence (AGI). We prioritize AI safety, trust, and transparency, and our work is vital in making a positive impact on society.Our Safety Engineering team is dedicated to creating the platforms and tools that ensure OpenAI’s models are safe for real-world usage. We collaborate closely with researchers, product teams, and policy experts to transform safety concepts into robust, scalable systems: assessing risks, implementing safeguards, and continuously enhancing model performance in live environments. Our efforts sit at the confluence of product engineering, data science, and AI, directly influencing how millions engage with OpenAI’s technologies.About the PositionWe are seeking a proactive Fullstack Engineer who thrives in a dynamic, iterative environment—especially when developing internal tools that drive tangible societal impact. In this role, you will design and implement full-stack solutions for our Safety Systems teams, ensuring the increased safety and reliability of OpenAI’s models, particularly in sensitive areas such as mental health and protections for vulnerable users. Your contributions will enhance our team's ability to quickly identify and resolve safety concerns while also strengthening the feedback loop among policy, data, and model training cycles.Key Responsibilities:Lead the complete development cycle of internal tools aimed at enhancing the safety of OpenAI’s models, with a focus on critical areas such as mental health and vulnerable-user protections.Collaborate closely with researchers, engineers, and model policy developers to identify workflows, challenges, and requirements, translating them into sustainable product solutions.Create full-stack applications that support essential model policy workflows, including data labeling, failure case analysis, and insight generation for iterative development.Enhance internal applications for usability, performance, and scalability, improving team efficiency and reducing resolution time for safety issues.Transform successful AI-assisted safety workflows into externally facing safety products that empower developers to create safer AI, elevate industry standards for AI safety, and prepare society for more advanced AGI.

Complete is dedicated to transforming compensation into a strategic advantage for the most impactful companies globally. We're revolutionizing compensation processes by moving away from outdated spreadsheets to modern, efficient systems. Our solutions encompass comprehensive compensation cycle planning, leveling, total rewards statements for employees, and interactive candidate offers, among other features!Why Join Us at Complete?We understand that effective compensation strategies are vital to a company's success and represent one of its largest expenditures. Many enterprises struggle to develop and implement a solid compensation strategy, which can lead to significant financial and operational inefficiencies. We believe that innovative compensation approaches are the key to sustainable success.Complete is proudly supported by Accel and Y Combinator, and we are fortunate to have esteemed advisors like Will Larson (CTO of Carta), Eric Sagar (COO of Plaid), and Mathilde Collin (CEO of Front).About Our Team We are passionate builders focused on delivering quality. We believe that 21st-century software should be intuitive and require minimal training. Our culture is characterized by low ego and rapid execution. Success doesn't come from large teams but from focused efforts. Our tight-knit team of fewer than 10 people combines exceptional product and business expertise, allowing us to compete effectively in the market. This is your opportunity to join us at a pivotal moment!⭐ Our clientele ranges from innovative startups like Linear and Brex to established public companies like Roblox, and we are continually adding remarkable names to our roster. We thrive in a collaborative environment at our San Francisco office, located near Embarcadero BART, where we work together in person 4-5 days a week. We believe that bringing top talent together in a creative space is the fastest route to success.Your RoleAt this exciting juncture, we are seeking Senior or Staff Engineers to help us scale towards $XXM+ in ARR. Ideal candidates are those who are proactive, enjoy working with urgency, and have a strong focus on customer outcomes. You will have the opportunity to make significant contributions in three key areas:Ownership: We are looking for experienced individuals who can take charge of projects and drive them to successful completion.

Zyphra is a cutting-edge artificial intelligence firm located in the heart of San Francisco, California, dedicated to advancing technology across various modalities.About the Position:We are seeking a Data Engineer - Multimodal Systems to play a pivotal role in the enhancement and expansion of Zyphra's datasets and data pipelines. This position offers a unique opportunity to collaborate with diverse teams and contribute to innovative data solutions. You will engage in the collection of extensive datasets and the development and optimization of high-performance parallel data pipelines.Your Responsibilities Will Include:Executing large-scale data collection across multiple modalities, including text, audio, and image.Designing and implementing highly efficient, parallelized data processing pipelines that integrate various modalities.Conducting rigorous experimental ablations to evaluate the effectiveness of new data enhancements.Candidate Requirements:Proven ability in implementation and prototyping.Capability to transform ideas into experimental frameworks swiftly.Strong collaborative skills, thriving in a dynamic research environment.Eagerness to learn and apply new concepts effectively.Exceptional communication and teamwork skills, capable of contributing to both research and large-scale engineering projects.Preferred Qualifications:Experience in the collection, management, and processing of large datasets.Familiarity with parallel programming frameworks in Python, such as Dask.In-depth understanding of state-of-the-art dataset curation practices.A detail-oriented mindset with a passion for data integrity and verification.Strong foundation in experimental methodologies for conducting thorough ablation studies and hypothesis testing.Knowledge and interest in large-scale, highly parallel data processing systems.Proficiency in PyTorch and Python.Experience with large, complex codebases and the ability to quickly become productive within them.Published research in respected machine learning venues.Postgraduate degree in a relevant field is a plus.

Join Mercor: Pioneering AI and Labor Market IntegrationAt Mercor, we operate at the forefront of labor markets and artificial intelligence (AI) research. Collaborating with esteemed AI laboratories and businesses, we deliver the invaluable human intelligence needed for AI evolution.Our extensive network of talent trains cutting-edge AI models, similar to the way educators guide students—by imparting insights, experience, and context that coding alone cannot convey. Currently, over 30,000 experts in our network collectively generate more than $2 million daily.Mercor is pioneering a new realm of work where expertise accelerates AI progress. To realize this vision, we seek an ambitious, dynamic, and dedicated team. You’ll collaborate with researchers, operators, and AI enterprises that are redefining societal systems.As a profitable Series C company valued at $10 billion, we maintain a five-day in-person work schedule at our new San Francisco headquarters.Your RoleWe are on the lookout for a product-focused Fullstack Software Engineer with robust technical expertise and a keen sense for product design. This position is perfect for individuals who relish taking ownership of user-facing features from conception to deployment, while possessing a deep understanding of the business and market dynamics that underpin their creations.In this role, you will enhance core marketplace interfaces that influence how engineers discover Mercor, apply for opportunities, complete assessments, and ultimately earn income. Achieving success here requires sound judgment, comfort with ambiguity, and the knack for delivering high-quality experiences swiftly without unnecessary complexity.This is not a limited backend or frontend role; your responsibilities will span:Frontend: React / Next.js, user journeys, UX nuances, performance, and refinement.Backend: Python and Go services, APIs, data structures, and integrations.Data: MongoDB and SQL, metrics, funnel analysis, and operational integrity.By the end of the process, you will be matched with a team where you can make the greatest impact in one of the following areas:Talent Platform Side – Developing next-gen tools that automate end-to-end recruitment, intelligently connect candidates to roles, and facilitate global hiring with seamless contracts and payments.Applied AI/Human Data Side – Collaborating with top-tier AI researchers from leading labs like OpenAI, Anthropic, and Google to create post-training datasets that enhance foundational model capabilities.