Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.

Our MissionAt Reflection AI, our mission is to develop open superintelligence accessible to everyone.We are creating open weight models for individuals, enterprises, agents, and nation-states. Our diverse team includes AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.FoundationsVision: We aim to establish and maintain a company-wide foundational platform designed to enhance every team by offering dependable, scalable development infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools. This enables Reflection to expedite its growth as we scale.What This Team DoesOur team builds and manages the essential platform layer that every engineering team relies on. We craft clear, opinionated golden paths for cloud infrastructure, networking, and access patterns, ensuring that the safest and most scalable routes are also the easiest to navigate. We work across various domains including cloud infrastructure, network primitives, security protocols, and developer tools to empower engineers to deploy rapidly while ensuring reliability, security, and cost predictability.Define and uphold golden paths for cloud projects and access patterns.Implement secure defaults and guardrails, making the safe path the most straightforward option.Construct and manage core networking components such as routing, DNS, load balancing, and connectivity.Establish baseline observability and operational best practices across services and infrastructure.Oversee developer infrastructure including build systems, CI/CD, caching, and testing infrastructure to facilitate rapid shipping.Enhance cloud cost visibility and reduction through effective tooling, guardrails, and optimization strategies without hindering team progress.What You'll Work WithCloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud configurations, VPC architecture, private DNS, load balancers, advanced routing (BGP), and large-scale Kubernetes clusters.Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, and cloud guardrails.Infrastructure & Automation: Terraform, Pulumi, foundational Kubernetes, CI/CD systems, Bazel, build caching, and hermetic builds.Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, and more.

THE ROLE:As a pivotal member of our team, you will transform the interaction dynamics between life sciences organizations and agents. Your creativity will help craft innovative experiences that seamlessly integrate into daily workflows. You will engage with cutting-edge models and develop interfaces that empower users to harness their capabilities effectively.WHAT WE ARE LOOKING FOR:Analytical Thinkers: You possess a comprehensive approach to problem-solving, effectively balancing business and technical considerations.Technology Agnostic: You appreciate technology for its practicalities and are open to learning and adapting to new tools and ideas.Self-Motivated and Organized: You thrive in situations of ambiguity and take initiative to create meaningful impact.Product Ownership: You take responsibility for the quality and usability of the products you create, demonstrating pride in your work.Determined: You are relentless in pursuing goals, overcoming obstacles with perseverance.YOUR KEY RESPONSIBILITIES:Manage retrieval of vast document scales with diverse formats (graphs, tables, diagrams, etc.)Develop organizational interfaces to enhance collaboration with AI, integrating into everyday workflowsDesign and implement strategic planning tools involving human oversightWork directly with enterprise clients to create product experiences that automate routine tasksAssess large language models across various life science tasksEnsure government-level data security for sensitive informationConduct internet-scale data collectionDESIRABLE QUALIFICATIONS:Experience in a rapidly growing early-stage startup environment.Background in building agents or fine-tuning language models for complex tasks.Experience in developing large-scale content indexing systems.Familiarity with API development and integrations.

Vibecode is on a mission to make artificial intelligence accessible to 100 million more people. The team is dedicated to using advanced technology to inspire and educate, with a focus on the possibilities of AI-assisted coding. Role overview This New York City-based role centers on exploring how AI tools can influence the future of coding and design. The work involves building scalable design systems and paying close attention to visual details that set products apart. What you will do Use AI coding tools such as Cursor, Claude Code, and Codex to build and refine design systems. Work with fine design details, including subtle color distinctions (for example, #1f1f1f vs. #1d1d1d). Apply a strong sense of aesthetics and design judgment throughout your projects. Support the design process with Figma as needed. Who thrives here People who are deeply curious about technology and often pursue projects late into the night. Those with a strong work ethic who enjoy collaborating with a dedicated team and tackling challenging problems. Individuals who stay humble, take on any task, and value input from others.

About SciemoSciemo is revolutionizing the consumer goods industry through advanced AI technology that empowers businesses to make quicker, smarter, and more human decisions throughout the Integrated Business Planning (IBP) process. Our platform turns chaotic, fragmented data into actionable insights, aiding decision-makers in real-time by simplifying complexity.OverviewAs a pioneering startup, Sciemo specializes in AI solutions tailored for consumer brands. We harness machine learning, generative AI, agent-based systems, and graph technologies to deliver insights in seconds and tangible business outcomes in minutes.Your RoleWe are on the lookout for a Founding Member of Technical Staff, who will serve as both a Data Scientist and a Machine Learning Engineer. In this critical position, you will be instrumental in the design, development, and deployment of the intelligence that powers our AI products. You’ll engage in a wide range of applied AI efforts, from data science and machine learning to large-scale production engineering. This dual role demands not only advanced model development expertise but also the engineering acumen to implement and sustain robust, scalable systems.You will work closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure our AI systems provide measurable value in practical scenarios. As one of our initial technical team members, you will help shape our AI strategy, establish technical standards, and set best practices for scalable applied AI.Key ResponsibilitiesDevelop and Deploy AI Systems:Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or comparable).Design and implement comprehensive AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Establish automated pipelines for continuous learning, model promotion, and performance monitoring.System Architecture & Reliability:Lead the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to guarantee reproducibility and system reliability.

Join Deeptune’s Innovative TeamAt Deeptune, we are pioneering the development of high-fidelity training environments for AI agents, enabling them to learn real-world tasks through advanced reinforcement learning techniques. Collaborating with leading AI laboratories, we are at the forefront of training the next generation of agentic models, contributing to significant advancements in computer operations, code generation, and complex task execution.Our close-knit team of around 20 talented engineers and operators, hailing from prestigious organizations such as Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, is based in New York City. Recently, we successfully secured $43 million in Series A funding, led by Andreessen Horowitz, with contributions from 776, Abstract Ventures, and Inspired Capital.If you are eager to tackle some of the toughest challenges at the intersection of reinforcement learning and practical AI implementation, we would love to connect with you!Learn more: Fortune Exclusive on Our Series A | a16z: Why We’re Investing in Deeptune

Join The New York Times as a Technical Product Manager II focusing on Data Platforms, where your expertise will empower our organization to harness data for critical insights and strategic decision-making. In this hybrid role based in New York City, you will collaborate with cross-functional teams, including engineers, data scientists, and analysts, to enhance our analytics environment and develop cutting-edge business intelligence tools. Your mission will be to create scalable, reusable platform capabilities that facilitate data-driven experiences across various use cases.

About BasisAt Basis, we empower accountants with cutting-edge AI agents designed to streamline real workflows.Having achieved product-market fit and with a surge in demand, we recently secured $34 million in funding to accelerate our growth.Founded in New York City, learn more about us here.About the TeamIn the post-Basis world, the accounting profession is evolving. Join our specialized team that is pioneering this transformation by developing our core product. While this role does not involve traditional client accounting, you will collaborate closely with customers and our engineering team to redefine accounting workflows.Success in this role demands foresight and an innovative mindset, envisioning how accounting processes must adapt in an AI-driven landscape. If you have contemplated how your current role may evolve in the coming years and wish to facilitate this change, this position is for you. Strong knowledge of accounting fundamentals, the ability to grasp diverse workflows quickly, and a vision for redefining processes are essential. Location: In-person at our Flatiron office in NYC.What You’ll Be DoingYou will collaborate with our engineering and design teams to develop new features, rigorously analyze edge cases, and prioritize effectively to deliver impactful solutions.By engaging with users, you will translate their needs into workflows that empower them to excel with AI, leveraging your own expertise to anticipate requirements and proactively shape the product.You will partner with the ML team to enhance agent capabilities, rapidly learn new technologies (e.g., coding), and engage in hands-on prompt engineering to define parameters that ensure reliable outcomes from the LLM.

Vibecode aims to make AI-assisted coding accessible to millions more people. The team, based in New York City, explores ways to inspire a broad audience through technology and creative outreach. Role overview This Technical Staff Member position centers on Growth & Content. The role brings together research, content creation, and practical work with the latest AI technologies. Projects often involve both technical and creative problem-solving, with a focus on sharing insights and fostering community engagement. What you will do Research new technologies and evaluate their real-world applications Test and refine early-access AI models and runtimes to enhance performance Create in-depth educational and inspirational content for platforms like YouTube, X, Instagram, and LinkedIn Develop original projects that blend multiple AI tools in inventive ways Use a strong visual approach to ensure work is distinctive and polished Location This role is based in New York City.

Join Campus as a Staff Platform Engineer, where you'll play a crucial role in shaping our platform’s architecture and enhancing our technological capabilities. You will collaborate with cross-functional teams to design, develop, and maintain scalable solutions that power our innovative educational initiatives.

Join Grow Therapy as a Staff Engineer on our innovative Platform team, dedicated to fostering autonomy and enhancing productivity within our engineering organization. In this pivotal role, you will help us create an internal developer ecosystem that empowers our mission to make mental healthcare accessible and affordable across the U.S. You'll work on complex challenges involving AWS cloud infrastructure, Kubernetes (EKS) operations, and CI/CD pipelines, while leading large-scale initiatives that significantly impact our organization. Your expertise will be crucial in partnering with product engineering to deliver solutions that enhance development speed, reliability, and scalability.

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

Hybrid work environment (3 days in the office, flexible scheduling).About UsAt DoubleVerify, we lead the industry in providing independent marketing measurement software, data, and analytics that validate the quality and efficacy of digital media for major brands and media platforms around the globe. Our solutions ensure media transparency and accountability, delivering the highest quality impressions for optimal advertising performance. Since our inception in 2008, we have empowered countless Fortune 500 companies to maximize their media investments through cutting-edge solutions across the digital landscape. Discover more at www.doubleverify.com.Role OverviewAs a Senior Data Platforms Engineer on our Data Platforms team, you will play a crucial role in enhancing the development experience for both engineering and product teams by creating robust data platforms. You will be responsible for shaping and optimizing our core data services, with a particular emphasis on data warehouse technologies and platforms that facilitate seamless data movement and governance.Our Mission: To enable secure, self-service data at scale across DoubleVerify via a governed platform.Your Responsibilities:As a Senior Data Platforms Engineer, you will oversee the entire lifecycle of essential data platforms, focusing on technologies such as Snowflake, MongoDB, SQL Server, BigQuery, and CloudSQL, as well as data movement tools like Airbyte. Your goal will be to ensure their reliability, scalability, and alignment with our strategic objectives while empowering teams to handle data independently.

Join Eagle as a Member of Technical Staff!Eagle is revolutionizing the built environment, akin to Pixar Studios, by integrating advanced AI into civil, structural, and MEP engineering. With the support of Lightspeed Venture Partners, we acquire and transform engineering firms to tackle some of the world’s most pressing infrastructure, energy, and climate challenges.Our mission is to equip engineers with cutting-edge tools that enhance their capabilities and streamline their processes. By leveraging AI, we aim to close the automation gap in engineering, where currently less than 5% of tasks have been automated.As a Member of Technical Staff, you will collaborate closely with our founders to develop Cortex, our innovative data platform. You will work alongside experienced engineers to create systems that make institutional knowledge accessible, automate quality assurance, and produce engineering deliverables efficiently.Your Responsibilities:Develop and implement core components of our platform, including data connectors and document intelligence for AEC artifacts.Lead the creation of systems across LLM pipelines, document parsing, and backend infrastructure.Collaborate with design partners, delivering your work for immediate use by engineers.Research and apply emerging AI frameworks and methodologies.Contribute to fostering a positive engineering culture.

Our MissionAt ReflectionAI, we are dedicated to creating open superintelligence and ensuring its accessibility to everyone.Our innovative team, comprised of AI experts and industry pioneers from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic, is on a mission to develop open-weight models tailored for individuals, enterprises, and even nation-states.FoundationsVision:Our goal is to establish and manage a comprehensive foundations platform that empowers all teams by delivering dependable, scalable developer infrastructure, site reliability engineering (SRE) capabilities, and efficient data ingestion tools, allowing ReflectionAI to accelerate its growth and capabilities.Team ObjectivesWe focus on developing both internal and customer-facing product interfaces that transform our platform's capabilities into practical workflows. This position bridges engineering and product development, converting vague requirements into structured, operable systems and advancing concepts from initial prototypes to robust production components.Design and implement internal product interfaces such as dashboards, administrative tools, and self-service workflows.Oversee the complete delivery process encompassing UI, APIs, authentication, role-based access control (RBAC), and audit trails.Facilitate integration with customer environments and related systems to assure seamless workflows.Transform prototypes into reliable, maintainable, and operable platform components.Clarify ambiguous product requirements into precise system designs and user interfaces.Incorporate delivery insights back into platform patterns and defaults to expedite future releases.Technologies You Will Work WithFull-Stack & API Development: React, TypeScript, REST, gRPC, FastAPI, Go services, and API design.Authentication & Governance: OIDC authentication, RBAC, and audit logging.Workflows & Integrations: Event-driven systems, workflow orchestration, feature flags, and customer integrations.Monitoring & Developer Tools: Dashboards, observability tools, experiment tracking systems, and metrics/log visualization.About YouA solid full-stack engineering foundation with hands-on experience in delivering production-quality applications end-to-end.Proficient in managing the entire delivery surface effectively.

Role overview Braze, Inc. is hiring a Senior Staff Platform Infrastructure Engineer based in New York City. This position centers on designing and improving the core infrastructure that supports Braze’s products and services. The engineer will guide complex technical projects and partner with teams throughout the company. What you will do Design and enhance platform infrastructure to strengthen Braze’s offerings Take the lead on technical projects, managing them from initial planning through execution Work closely with colleagues across departments to deliver reliable and scalable solutions Share ideas and technical knowledge to help drive improvements and innovation in the platform

Rocket Money supports millions of people in making smarter financial decisions. The platform provides members with clear financial insights and tools designed to save both time and money. Team focus The Data Platform team builds and maintains the core systems behind Rocket Money’s data-driven products. This group develops and supports infrastructure for collecting, processing, and delivering data to teams across analytics, machine learning, and software engineering. Engineers here work closely with other groups to ensure accurate data capture, resilient pipelines, and reliable self-service access for stakeholders. As the team grows, there is a shift toward formalizing standards and practices that will scale. Current tools include dbt, BigQuery, and Terraform, but the emphasis is on shaping architecture and defining how Rocket Money manages data for the future. Autonomy is high, but collaboration remains central as the platform evolves. What you will do Own the data platform infrastructure from end to end, focusing on security, usability, and performance. Collaborate with analytics, machine learning, and software engineering teams to support their data needs. Help guide decisions on data tooling, pipeline design, and governance. Create user-friendly interfaces that promote best practices across the team. Work proactively to improve data reliability by identifying and addressing issues at their source. Who succeeds here This role suits engineers who bring structure to ambiguity, balance stakeholder needs, and manage technical debt. The team values those who make informed choices, take ownership, and contribute to a collaborative environment. Locations Open to candidates in San Francisco, CA; Washington, D.C.; New York City, NY; Detroit, MI; Phoenix, AZ; Miami, FL; and Denver, CO.

Role Overview adonis is hiring a Senior Software Engineer focused on the Data Platform in New York City. This role centers on building and refining data solutions that help the company serve clients better. The position calls for hands-on leadership in developing and optimizing data systems. What You Will Do Lead the design and improvement of data architectures for the platform Collaborate with teams across the company to deliver reliable data solutions Implement analytics tools and processes that support business insights and decision-making Collaboration This role works closely with colleagues from engineering, analytics, and other departments to create and maintain data systems that meet business needs.

Scribd, Inc. brings together products like Scribd®, Slideshare®, Everand™, and Fable, all focused on moving people beyond basic access to information toward deeper understanding and hands-on expertise. Workplace Culture Authenticity and bold thinking shape daily work at Scribd. The team values open debate, welcomes fresh challenges, and keeps customer needs central to decisions. Through the Scribd Flex program, employees enjoy a blend of remote work and intentional in-person gatherings. While most tasks happen remotely, occasional onsite meetings help strengthen collaboration and community ties. Scribd seeks individuals who demonstrate “GRIT”: passion and perseverance in pursuit of long-term goals. This mindset guides how teams set objectives, deliver on commitments, and solve problems together. Developer Tooling Team This group designs and maintains the tools, frameworks, and platforms that support Scribd’s engineers throughout the software development lifecycle. Their work includes updating infrastructure, refining build and deployment processes, and introducing collaborative AI features that enable developers to work with AI agents. These efforts directly improve productivity and enhance the developer experience across the company. Role overview The Staff Software Engineer for the AI Developer Platform plays a key role in shaping how Scribd approaches software development in an AI-first environment. This position sets the technical direction for the agentic engineering platform, guiding hundreds of engineers as they use coding agents to write, review, and deploy code across Scribd’s technology stack. The role also focuses on improving the development environment to enable effective collaboration between AI agents and human engineers. Developing the agentic engineering strategy requires close partnership with senior leadership to ensure alignment with company goals.

About the Role Anthropic is hiring a Software Engineer to support our Research Data Platform. This position is based in San Francisco, CA or New York City, NY. The team works closely with engineers and researchers to create data solutions that strengthen our research efforts. The work directly supports Anthropic’s mission to develop safe and beneficial AI.