Technical Staff Member

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.

Our MissionAt Reflection AI, we are dedicated to creating open superintelligence that is accessible to everyone.Our innovative team is developing open weight models tailored for individuals, agents, enterprises, and even nation states. Our group of AI researchers and industry pioneers hail from top organizations including DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Your Role's MissionAs a crucial member of our team, you will play a pivotal role in bridging the divide between research and production by converting advanced algorithms into scalable training systems. Your expertise will help design and optimize the foundational infrastructure that supports cutting-edge AI models — including reinforcement learning training loops, distributed GPU training, and extensive data pipelines.Our systems are engineered to train models across thousands of GPUs while managing petabyte-scale datasets. We prioritize numerical stability, high throughput, and reproducibility in our processes.Team OverviewThis team is responsible for the evolution and management of the core infrastructure that underpins our training systems.Our focus areas include:Reinforcement learning training infrastructureDistributed training and inference systemsExperiment infrastructure and reproducibilityLarge-scale data pipelinesOur goal is to construct an engineering foundation that enables researchers to iterate swiftly while training models at a massive scale.Role OverviewYou will be responsible for architecting and optimizing the core training infrastructure that powers our models, including RL training loops, distributed GPU systems, and large-scale data pipelines.Collaborating closely with researchers, you will assist in transforming innovative ideas into reliable, scalable training systems.Key Responsibilities:Design and optimize large-scale training loops and data pipelines.Implement cutting-edge techniques while ensuring numerical stability and computational efficiency.Develop internal tools for launching, monitoring, and reproducing complex experiments.Identify and resolve deep bottlenecks across the training stack (e.g., GPU memory issues, communication overhead, dataloader stalls).Translate research prototypes into reusable, production-grade infrastructure.

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.

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.

Role overview Decagon seeks a Staff Research Engineer based in New York City. This position helps guide research efforts and supports the development of technical solutions that serve a range of industries. The Staff Research Engineer works alongside a skilled team, taking projects from early ideas through to working implementations. What you will do Advance research initiatives at Decagon through direct engineering contributions Collaborate with team members to design and build new technical solutions Apply technical expertise to projects that impact several sectors Requirements Solid background in both research and engineering Interest in tackling complex technical problems Strong collaborator who values team-based problem solving

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

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.

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.

Playground builds software to help child care providers manage their businesses more efficiently. The platform supports thousands of schools across the United States, with a focus on making high-quality child care more accessible. The company has secured millions in funding and holds several statewide contracts, reflecting strong momentum in the education technology space. Playground’s founders have been recognized on the Forbes 30 Under 30 list for their work in child care technology. The team values a culture where ownership and collaboration are central. Engineers at Playground regularly work together on challenging projects that have a direct impact on customers and the broader child care sector. Role overview This Staff Software Engineer position is based in New York City. The role centers on building and improving Playground’s core products as the company grows. Engineers here contribute to significant technical decisions and help shape the future of the platform. What you will do Work on complex software projects that support child care businesses nationwide Collaborate closely with other engineers and teams to deliver high-impact solutions Take ownership of technical challenges and contribute to a culture of shared responsibility Requirements Experience leading or contributing to large-scale software projects Ability to work effectively in a collaborative, team-driven environment Based in or willing to work from New York City

About the Role Traba is hiring a Staff Software Engineer in New York City, NY. This senior-level role focuses on designing, building, and maintaining software systems that support business goals. The position calls for strong technical experience and a hands-on approach to solving complex problems. What You Will Do Design and implement software systems that support Traba’s products and services Maintain and improve existing codebases Work closely with other engineers and cross-functional teams to deliver reliable solutions Contribute technical expertise to key architectural decisions

Role overview arch.co seeks a Staff Software Engineer to join the team in New York City. The role centers on designing and building software that advances the company’s mission. Collaboration with colleagues from various teams is a regular part of the work, with a focus on delivering solutions that have real impact. What you will do Plan and develop software features in partnership with cross-functional teams Design new systems and enhance those already in place Apply technical expertise to projects that influence the company’s direction Location This role is based in New York City.

Traba connects industrial businesses with thoroughly vetted workers, aiming to make workforce management more efficient and dependable. The company focuses on orchestrated multi-agent AI workflows to optimize supply chain operations. Investors include Founders Fund, Khosla Ventures, and General Catalyst. This Staff Software Engineer role is part of Traba’s founding team in New York City. The position focuses on backend services and platform development, with a direct line to the CTO. This engineer will help set the technical direction and build systems that support Traba’s long-term growth. What you will do Design and develop core backend services and platform components Collaborate with the CTO on architectural decisions and technical strategy Contribute to defining and refining the product and technology roadmap Build foundational systems to enable Traba’s scaling and future expansion

At PermitFlow, we are transforming the construction landscape in America through the power of applied AI. Our innovative platform addresses a critical challenge in the construction industry: determining what can be built, where, and how. Our intelligent AI agents empower leading construction firms to efficiently manage permitting, licensing, inspections, and project closeouts, thereby accelerating the development of housing, clean energy, and infrastructure nationwide.Despite the construction sector's massive $1.6 trillion size, it often faces significant delays, capital wastage, and missed opportunities. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in projects, enabling contractors to streamline compliance processes, mitigate project risks, and scale operations with greater assurance.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, manufacturing facilities, residential projects, and renewable energy, joining PermitFlow means contributing to the foundational AI infrastructure that will power a new era of industrialization.With over $90 million raised, including our recent Series B funding round, we are backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, alongside influential leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, where we operate on a hybrid work schedule (3 days in-office per week). We are particularly interested in candidates based in NYC or those willing to relocate.

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.

Join Suno: Redefining Music CreationAt Suno, we are transforming the music technology landscape to unleash creativity, where your ideas harmonize into sound and your songs come alive. Our innovative platform is fueled by cutting-edge music creation models, making musical expression accessible to millions around the globe.Founded by passionate Harvard alumni just two years ago, Suno has rapidly ascended to a valuation of $2.45 billion, achieving $200 million in annual recurring revenue and securing $250 million in Series C funding in November 2025. With a dynamic team of 150 dedicated professionals across our offices in Venice Beach, Cambridge, and New York City, we are among the fastest-growing AI startups worldwide.Our iOS team has garnered over 100,000 reviews with a stellar 4.9 rating on the App Store, playing an integral role in shaping our products and driving our company's success.Position OverviewWe are seeking pioneering members to join our iOS team. In this role, you will collaborate closely with our founding team and take ownership of various technical and design decisions for Suno’s iOS application.Discover our musical tribute to this role here: https://suno.com/s/oEdmOtkZDLHCopSGKey ResponsibilitiesDesign and develop Suno’s iOS app for music creation, exploration, and listening experiences.Establish foundational abstractions and libraries for high-performance, interactive audio applications.Engage in design and product decisions across the application.Enhance the performance, aesthetics, and user experience of our products.Qualifications7+ years of experience in delivering production iOS applications.Proficient in Swift, utilizing SwiftUI and UIKit as needed.Experience in crafting fluid animations, adept at converting prototypes into robust implementations.A strong commitment to exceptional user experiences, with a focus on detail, rapid iteration, and diligence.A genuine passion for music—whether listening, exploring, or creating—is a significant advantage.Bachelor's degree or equivalent experience required.

About UsAt Adaptive, we are pioneering the future of real estate and construction with our innovative AI-native ERP solutions. As a rapidly expanding vertical AI company based in New York City, we have successfully attracted over 600 customers and secured $26 million in funding from top-tier investors including Emergence, a16z, and several prominent angel investors from leading companies such as Brex, Ramp, and Shopify.Why Join Our Team?Empower Local CommunitiesWe support the small businesses that are transforming our neighborhoods—whether it’s your favorite local café, the new home on the block, or the accessory dwelling units that help address the housing crisis. Our customers are passionate, skilled individuals who breathe life into their communities through their craft.Be at the Forefront of InnovationJoin us in a collaborative environment where your contributions are valued. Our team, composed of experts in finance, technology, and construction, is dedicated to driving success in a vast market. With our vision and momentum, we’re excited to have you on board!Your RoleWe are thrilled to announce an opening for a Staff Software Engineer at Adaptive! Your technical acumen will play a pivotal role in steering our engineering initiatives and ensuring the delivery of top-notch software solutions.Reporting directly to the VP of Engineering, you will collaborate closely with a talented team of 15 engineers and product specialists, focusing on the architecture, development, and optimization of our cutting-edge products.Key ResponsibilitiesDrive the successful execution and delivery of product priorities in partnership with the product and design teams.Lead the architectural design and technical strategy of our software, ensuring it is scalable, efficient, and secure.Align technical solutions with our business objectives and product vision.Facilitate technical discussions and decision-making processes in line with company goals and technology strategy.Mentor and nurture a team of engineers, instilling a culture of technical excellence and continuous improvement.

At Confido, we are revolutionizing the AI infrastructure that drives Consumer Packaged Goods (CPG) brands from analysis to execution. Our integrated platform streamlines cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics, delivering significant time savings and enabling more intelligent financial decisions for our clients.We proudly support over 200 brands managing more than $20 billion in revenue, partnering with notable names such as OLIPOP, Simple Mills, and Dr. Squatch. With a recent $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid growth and innovation.As a Staff Software Engineer, you will be instrumental in architecting and developing the core systems that drive the Confido platform. You will spearhead significant product and infrastructure projects, from AI-driven document processing to extensive financial analytics systems.This role offers a unique opportunity to merge technical excellence with impactful product development, collaborating closely with engineering, product teams, and clients to transform intricate operational workflows into scalable software solutions.Location: New York, NY (Relocation assistance available)

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.