Technical Staff Member - Research Tooling & Data Platform

Runway ML, Inc.Remote

Remote Full-time

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Experience Level

Entry Level

Qualifications

We are looking for candidates with a strong background in software engineering, particularly in data analysis and machine learning. Excellent programming skills in TypeScript and Python are essential. Familiarity with AWS services and Kubernetes will be advantageous. Candidates should be self-motivated, innovative thinkers who thrive in a collaborative environment.

About the job

World models represent a clear pathway towards general-purpose simulation, fundamentally transforming storytelling, scientific exploration, and pushing humanity's next frontiers.

Our team embodies creativity, open-mindedness, compassion, and ambition. We are dedicated to creating groundbreaking solutions, and our success hinges on the strength of our team. If you share this vision, we would love to connect!

Role Overview

We are on the lookout for an engineer to take ownership of Runway's internal exploratory data analysis (EDA) and evaluation platform, utilized daily by our machine learning research, design, product, and creative teams. This pivotal role will directly enhance research efficiency and support informed decision-making across the organization.

The platform allows researchers to query vast datasets, evaluate model outputs, and analyze results through a user-friendly interface. As the lead for this platform, you will oversee the complete product lifecycle, from optimizing database queries and managing infrastructure to developing user-centric features that simplify complex ML workflows for non-engineers.

Our Technical Stack

Our API endpoints for real-time collaboration and media asset management are developed in TypeScript and operate within ECS containers on AWS Fargate. We utilize a range of AWS-native services, including S3, CloudFront, Lambda, Kinesis, and SQS, to build our infrastructure.

Our inference backend is built with Python (PyTorch, TorchScript) and is deployed across multiple clusters and cloud providers. We employ Kubernetes for container orchestration, along with k8s-native tools such as Flyte, Kueue, and Kyverno for efficient job management. For monitoring, we invest in Prometheus and Grafana, and we manage our infrastructure using Terraform.

Key Responsibilities

End-to-End Ownership of EDA Platform: You will have full control over the architecture, infrastructure, feature development, and operational aspects of the platform.
Scalability Optimization: Drive enhancements to ensure the platform can efficiently handle increased demand.

About Runway ML, Inc.

Runway ML, Inc. is at the forefront of blending art and technology through artificial intelligence. Our mission is to create tools that empower creators and researchers to push the boundaries of what is possible.

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Senior/Staff Platform Engineer at Runway | North America

Runway

Full-time|$190K/yr - $230K/yr|Remote|North America

Join Our Team as a Senior/Staff Platform EngineerAt Runway, we are reshaping the landscape of business planning by providing a platform that makes complex business data accessible and comprehensible for everyone.Our Mission: We strive to democratize business understanding. We believe that when teams grasp the underlying reasons for their tasks, they become m…

Jan 22, 2026

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Senior/Staff Product Engineer at Runway | North America

Runway

Full-time|$190K/yr - $245K/yr|Remote|North America

Join Our Team as a Senior/Staff Product EngineerAt Runway, we are revolutionizing the way businesses engage with planning through our collaborative platform. Our mission is to make business accessible and understandable to everyone. We believe that when teams grasp the 'why' behind their actions, they become more productive and make more informed decisions.Our Approach: We are transforming traditional spreadsheets into a modern planning tool that delivers clarity and context to all teams, not just finance. Just as Figma democratized design, Runway is democratizing business planning.Why We Matter: True understanding transcends mere access to numbers; it fosters collaboration by connecting individual efforts to the larger organizational goals. Runway equips teams with the insights they need to operate efficiently and effectively.Our Clients: Top-tier companies including AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR trust Runway for their business needs.Our Investors: Supported by esteemed investors like Garry Tan (YC & Initialized), a16z, Elad Gil, and many more, we are committed to pushing the boundaries of business planning.Why Work at Runway?Being early in our journey means you will play a pivotal role in shaping our product and the company culture. We prioritize clear communication and default to over-communicating.As a remote-first organization, you can work from anywhere in North America. We value in-person collaboration for tackling challenging problems, which is why we:Gather quarterly in our San Francisco office.Open offices in cities with a significant number of teammates, currently in SF and NYC.Facilitate travel for team meet-ups.Our team shares values that will resonate with you, fostering an enjoyable work environment.

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Engineering Manager | Runway

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Full-time|$240K/yr - $280K/yr|Remote|North America

Join Our Team as an Engineering ManagerAt Runway, we are pioneering a collaborative business planning platform that transforms the way organizations understand their operations. Our platform is designed to make business insights accessible to everyone, empowering teams to make informed decisions.Our Mission: To democratize business knowledge for all. We are firm believers that a clear understanding of the purpose behind one's work significantly enhances productivity and decision-making capabilities. True collaboration flourishes when everyone has access to a shared, comprehensible source of truth.Our Approach: Runway modernizes traditional business planning by replacing cumbersome spreadsheets with a user-friendly platform that enhances clarity and context across all departments. Much like Figma revolutionized design collaboration, we are bringing a similar transformation to business planning.Why It Matters: Genuine understanding goes beyond mere access to figures; it cultivates real collaboration when teams grasp how their contributions impact the broader objectives. By providing this vital context, Runway enables teams to optimize their time and accelerate their progress.Our Customers: We are proud to support industry leaders like AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR in achieving greater operational efficiency.Our Investors: Our journey is backed by an esteemed group of investors, including Garry Tan (YC & Initialized), a16z, Elad Gil, Naval Ravikant, and Dylan Field (founder of Figma), among others.Working at RunwayAs an early member of our team, you will have the unique opportunity to influence not only our product but also the culture and dynamics of our company. We prioritize transparent communication and believe in over-communicating to enhance collaboration.Runway operates on a remote-first model, allowing you to work from anywhere within North America. However, we also recognize the importance of in-person collaboration for tackling complex challenges, which is why we:Gather quarterly at our San Francisco office to strengthen team bonds.Open offices in key locations where our team is concentrated (currently in SF and NYC).Facilitate travel for team members to meet in person.We embrace core values that resonate with our team culture, ensuring a fulfilling work environment.

Feb 24, 2026

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Technical Staff Member - Inference at Runway | Remote

Runway ML

Full-time|Remote|Remote

Join us at Runway, where we are pioneering the future of artificial intelligence by blending art and science to create simulations of the world.At the forefront of AI advancements, we believe that world models are critical in addressing the toughest challenges humanity faces, from robotics and disease to groundbreaking scientific discoveries. Unlike traditional language models, our approach focuses on developing systems that learn from real-world experiences and mistakes—emulating human learning. This trial-and-error process can be exponentially expedited through simulation, paving the way for revolutionary breakthroughs in storytelling, science, and beyond.Our diverse team is composed of innovative, empathetic, and ambitious individuals dedicated to making a significant impact. We are passionate about building the seemingly impossible and recognize that our success hinges on our ability to collaborate effectively. If you share our drive for transformative change, we would love to connect with you.About the RoleWe are seeking a passionate ML Infrastructure Engineer to serve as a vital link between our research and production teams at Runway. In this role, you will collaborate closely with our research divisions to transition state-of-the-art generative models into production—overseeing every step from training checkpoints to deployment and ensuring robust reliability at scale. Your contributions will be pivotal in expediting the release of new models and features to our extensive user base.Technical Stack OverviewOur real-time collaboration API endpoints and media asset management are crafted in TypeScript and operate within ECS containers on AWS Fargate. We utilize various AWS-native services, including S3, CloudFront, Lambda, Kinesis, and SQS, as foundational elements of our infrastructure.Our inference backend is developed using Python (PyTorch, TorchScript), deployed across multiple clusters and cloud providers. We rely on Kubernetes for container orchestration, complemented by k8s-native tools like Flyte, Kueue, and Kyverno for efficient job management. Additionally, we leverage Prometheus and Grafana for monitoring, along with Terraform for infrastructure management.Your ResponsibilitiesTransform model checkpoints into production-ready assets: from research completion to internal testing, deployment, and post-release support.Develop and enhance inference systems for large-scale generative models operating in multi-GPU environments.Collaborate with cross-functional teams to optimize performance and scalability.

Jan 15, 2026

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Partnerships Staff Member - Physical AI at Runway | Remote

Runway

Full-time|Remote|Remote

At Runway, we are at the intersection of art and science, developing cutting-edge AI technologies that simulate the world. We believe that advancing artificial intelligence hinges on the creation of world models that help us address complex challenges in fields such as robotics, healthcare, and scientific exploration. Unlike traditional language models, our approach enables machines to learn from their environment through simulation, leading to faster and more effective solutions.Our team is composed of innovative, compassionate, and ambitious individuals committed to making a meaningful impact. We aim to create groundbreaking solutions and understand that our success depends on building an extraordinary team. If you're passionate about transforming possibilities into realities, we invite you to join us.About the RoleWe welcome remote candidates from across the US, with office locations in New York City, San Francisco, and Seattle.We are seeking a dedicated member for Runway’s Partnerships team to uncover and develop new commercial avenues in the realm of physical AI. You will be responsible for conceptualizing, validating, and scaling the deployment of our general world models in diverse sectors, particularly robotics and autonomous driving. This role will require close collaboration with various teams, especially applied research.What You Will DoConduct research to identify promising opportunities in physical AI, including robotics and self-driving vehicles, and craft compelling technical and commercial proposals.Engage in targeted outreach to build a pipeline of new business opportunities driven by Runway’s product suite and upcoming world model releases.Collaborate closely with Research and Product teams to provide feedback and identify further research and development opportunities; think creatively about future applications beyond our current customer base.Define use cases, project scope, sequence, and success metrics for Runway’s Physical AI initiatives.Craft the commercial narrative including presentations, demos, proposals, and deal memos that effectively communicate Runway’s unique value and ROI to prospects, clients, executives, and internal stakeholders.Structure and negotiate unique partnerships, guiding them through to contract execution.What You Will NeedA strong passion for AI and the physical world, with a keen interest in robotics and autonomous systems.Excellent communication skills for collaboration and proposal development.Experience in research, business development, or related fields.Ability to think critically and creatively in developing solutions.

Mar 25, 2026

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Technical Staff Member - Research Tooling & Data Platform

Runway ML, Inc.

Full-time|Remote|Remote

At Runway, we are pioneering artificial intelligence that merges art and science to simulate the world. We believe that the development of world models is essential for advancing AI capabilities. Language models alone cannot address the most significant challenges in fields like robotics, healthcare, and scientific research. True innovation demands models that can interact with the world and learn from their experiences, much like humans do. This process can be significantly expedited through simulation rather than real-world experimentation.World models represent a clear pathway towards general-purpose simulation, fundamentally transforming storytelling, scientific exploration, and pushing humanity's next frontiers.Our team embodies creativity, open-mindedness, compassion, and ambition. We are dedicated to creating groundbreaking solutions, and our success hinges on the strength of our team. If you share this vision, we would love to connect!Role OverviewWe are on the lookout for an engineer to take ownership of Runway's internal exploratory data analysis (EDA) and evaluation platform, utilized daily by our machine learning research, design, product, and creative teams. This pivotal role will directly enhance research efficiency and support informed decision-making across the organization.The platform allows researchers to query vast datasets, evaluate model outputs, and analyze results through a user-friendly interface. As the lead for this platform, you will oversee the complete product lifecycle, from optimizing database queries and managing infrastructure to developing user-centric features that simplify complex ML workflows for non-engineers.Our Technical StackOur API endpoints for real-time collaboration and media asset management are developed in TypeScript and operate within ECS containers on AWS Fargate. We utilize a range of AWS-native services, including S3, CloudFront, Lambda, Kinesis, and SQS, to build our infrastructure.Our inference backend is built with Python (PyTorch, TorchScript) and is deployed across multiple clusters and cloud providers. We employ Kubernetes for container orchestration, along with k8s-native tools such as Flyte, Kueue, and Kyverno for efficient job management. For monitoring, we invest in Prometheus and Grafana, and we manage our infrastructure using Terraform.Key ResponsibilitiesEnd-to-End Ownership of EDA Platform: You will have full control over the architecture, infrastructure, feature development, and operational aspects of the platform.Scalability Optimization: Drive enhancements to ensure the platform can efficiently handle increased demand.

Jan 15, 2026

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Chief of Staff, North America - Remote Opportunity

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Apr 28, 2026

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Research Engineer - Datasets at Runway ML | Remote

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At Runway ML, we are pioneering artificial intelligence that blends artistry with scientific inquiry. We believe that advancing world models is essential to address the most pressing challenges in AI, such as robotics, healthcare, and scientific innovation. Unlike traditional language models, our approach emphasizes experiential learning through simulations, enabling models to understand and adapt in ways akin to human learning, thus accelerating progress beyond the constraints of the physical world.Our diverse and innovative team is composed of passionate individuals committed to making a difference. We strive to create groundbreaking technologies and recognize that our success hinges on cultivating an exceptional team. If you are motivated to contribute to transformative developments, we want to hear from you!Role OverviewAs a Research Engineer specializing in datasets, you will play a critical role in constructing comprehensive world models that effectively understand and replicate real-world scenarios across various tasks and domains. Your responsibilities will encompass curating and designing robust datasets, conducting modeling experiments, and developing scalable data infrastructure that influences the capabilities of our models, impacting applications in creative tools and robotics.

Oct 10, 2024

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Deployment Engineer - North America

dexory

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Position OverviewThe Deployment Engineer is a pivotal member of our team, responsible for ensuring the seamless delivery of our cutting-edge products to clients. This role involves close collaboration with our commercial and engineering teams to facilitate a smooth sales, integration, and deployment process. We are seeking a highly organized and technically adept individual who possesses exceptional communication skills and a proactive approach to problem-solving.This position will require travel throughout North America to deploy our advanced robotic systems at various warehouse locations. Candidates must be prepared to travel for 1-2 weeks at a time.

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Mobile Engineer - Member of Technical Staff

Runway ML

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Data Engineer - Data Infrastructure at Runway ML | Remote

Runway ML

Full-time|Remote|Remote

At Runway, we are at the forefront of merging art and science to develop advanced AI technologies that simulate the world around us.We believe that creating world models is essential for advancing artificial intelligence, as traditional language models cannot tackle society's most pressing challenges—such as robotics, health crises, and groundbreaking scientific discoveries. By leveraging simulation to accelerate learning through trial and error, we can achieve unprecedented advancements in these fields.Our vision is to transform storytelling, scientific exploration, and humanity's future through the power of world models.We pride ourselves on our team of innovative, empathetic, and driven individuals who are committed to making a significant impact. If you share our passion for pushing boundaries and achieving the impossible, we invite you to join us.Role OverviewWe are seeking a skilled Data Engineer to enhance and expand the data infrastructure that underpins our AI research and business intelligence efforts. In this pivotal role, you will oversee crucial data pipelines that connect production databases, analytics warehouses, and extensive machine learning training datasets. Your expertise will bridge data engineering, ML infrastructure, and analytics, empowering both cutting-edge research and data-driven business strategies.You will tackle complex challenges at scale, including managing billions of rows of multimodal training data, constructing CDC streams from production systems, optimizing vector databases for ML workflows, and laying down the foundational data layer that supports our entire organization.Technical Stack InsightsOur data infrastructure incorporates a variety of specialized systems, including LanceDB for vector storage and dataset versioning with multimodal training data, ClickHouse as our analytics warehouse that receives CDC streams from production Postgres through AWS Kinesis, and BigQuery for training run logs and evaluation results. We utilize Ray for large-scale distributed data processing on managed Kubernetes clusters, which handle preprocessing, feature generation, and dataset curation at scale.We are actively enhancing our data platform by implementing dbt for standardized transformations, refining dataset versioning and data lineage tracking, scaling data sourcing pipelines, and establishing robust data quality practices. We employ Prometheus and Grafana for monitoring, alongside Terraform for infrastructure management. This role offers the chance to introduce best practices and cutting-edge technologies into our evolving data landscape.

Jan 15, 2026

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Senior/Staff Technical Recruiter at Runway | Remote

Runway ML

Full-time|Remote|Remote

At Runway, we are at the cutting edge of artificial intelligence, where art meets science to simulate the world in innovative ways. Our belief is that world models are crucial to advancing AI technology; traditional language models alone cannot address the complex challenges we face, such as robotics, disease control, and scientific breakthroughs. By leveraging simulation, we can significantly enhance the learning process, enabling models that mimic human-like experiences and learn from their errors.We are a team of creative, open-minded, and ambitious individuals committed to making a difference in the world. Our mission is to continually build the seemingly impossible, and we know that achieving this relies on assembling an exceptional team. If you share our passion for innovation and progress, we would love to hear from you.About the Role*We are open to hiring remotely across the US and Canada, with offices located in New York City, San Francisco, and Seattle.As a Senior/Staff Technical Recruiter at Runway, you will be instrumental in enhancing our recruitment efforts across our Product, Design, and Engineering teams.You will collaborate with hiring managers to boost their recruiting capabilities, guiding them in the use of recruiting tools, interviewing methods, and best practices. Your partnership will involve crafting comprehensive recruiting strategies, sourcing exceptional talent creatively, and developing tailored interview processes.Beyond recruitment, you will engage with various aspects of the People function, including Employer Branding, Recruiting Operations, and Employee Experience. Your entrepreneurial spirit, process-driven mindset, and collaborative approach will be vital in attracting top talent and ensuring a memorable candidate experience.What You Will DoOversee the entire recruitment process from sourcing candidates to coordinating interviews with the support of a Recruiting Coordinator, leading to successful offer delivery.Provide a best-in-class candidate experience by responding to candidates promptly and managing a thoughtful interview process.Collaborate closely with hiring managers to fully understand their needs and devise innovative recruitment strategies.Monitor all recruitment metrics and provide weekly updates to the team.

Apr 4, 2023

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Unlock Your Leadership Potential!Join our webinar on Leadership vs Management!At Camunda, we are at the forefront of enterprise-level automation, transforming complex business processes into streamlined operations. Our innovative solutions empower over 700 industry leaders, including Atlassian, ING, and Vodafone, to significantly reduce time-to-value and enhance operational efficiency. Recently recognized as a Visionary in the 2025 Gartner® Magic Quadrant™, Camunda is leading the charge in trusted AI automation.As a fully remote global company, we’re redefining the future of work. Featured in GP Bullhound’s 2024 Top 100 Next Unicorn list and certified as a Great Place to Work, Camunda is rapidly expanding and seeking exceptional talent to join our mission. If you’re passionate about making a meaningful impact, this opportunity may be perfect for you!Your Role:Utilize engineering expertise to drive sales of our innovative technology solutions.Collaborate closely with cross-functional teams to deliver outstanding customer experiences.Engage with clients to understand their needs and provide tailored solutions.

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Enterprise Account Executive at Runway | Remote

Runway ML

Full-time|Remote|Remote

At Runway, we are pioneering the fusion of art and science through cutting-edge AI technologies. Our mission is to develop world models that push the boundaries of artificial intelligence. While language models have made significant strides, they alone cannot tackle the most pressing global issues such as robotics, healthcare, and scientific breakthroughs. We believe that true progress stems from models that experience and learn from the world similarly to humans, accelerating this learning through simulation.World models present a transformative approach to general-purpose simulation—revolutionizing storytelling, enhancing scientific advancements, and propelling humanity towards its next milestones.We are a team of innovative, compassionate, and ambitious individuals united by the desire to effect meaningful change. If you share our passion for creating the extraordinary, we invite you to join us.Role OverviewWe welcome remote applicants from across the United States, with offices in NYC, San Francisco, and Seattle.As we expand our commercial team, we are seeking individuals who are not only growth-oriented but also enthusiastic about the future of AI and content creation. In this role, you will identify opportunities where our technology can offer solutions, guiding businesses in strategically integrating Runway into their operations.Key ResponsibilitiesEngage with potential customers, managing the commercial process from initial contact to contract execution.Innovate and explore applications for our software during customer conversations.Create engaging narratives that effectively communicate the benefits and possibilities of our technology to businesses.Build and nurture relationships with key stakeholders, including executives and senior leadership, to facilitate the deployment and expansion of Runway within their organizations.Collaborate with customers in real-time to prototype solutions.Utilize data to grow and deepen existing customer accounts.Work closely with our Research, Engineering, Product, and Marketing teams to share market insights and pinpoint growth opportunities.QualificationsA minimum of 5 years of experience in growth, go-to-market, or customer-facing roles, preferably within a high-growth tech environment.A genuine curiosity about the applications of Runway's technology in various fields.

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Art Director at Runway ML | Remote

Runway ML

Full-time|Remote|Remote

At Runway ML, we are pioneering the fusion of art and science through cutting-edge AI technology. Our mission is to create world models that push the boundaries of progress in artificial intelligence. We believe that language models alone cannot tackle the most formidable challenges, including robotics, disease management, and scientific breakthroughs. For true advancement, we need models that learn from experience, much like humans do. By harnessing the power of simulation, we can expedite this learning process significantly.World models represent the clearest pathway to general-purpose simulation, transforming storytelling, scientific exploration, and the future of humanity.Our team is made up of innovative, compassionate, and ambitious individuals committed to making a difference. If you're driven by the desire to create the extraordinary, we want to hear from you.Role Overview*Remote opportunities available across North America — with offices in New York City, San Francisco, and SeattleWe are in search of a mid-to-senior Art Director to collaborate with a copywriter in our expanding in-house creative department. This role will involve high-level conceptualization and direction across various formats including brand campaigns, product marketing, advertising, web, social media, and events. You will spend approximately 75% of your time developing creative campaigns and innovative ideas alongside the copywriter, while the remaining 25% will be dedicated to independent art direction across the department, including product art needs and video treatments.This is a hands-on role with significant creative ownership. You'll have the opportunity to conceptualize campaigns, generate compelling visuals, and shape the brand's aesthetic while establishing creative standards for our rapidly evolving company. We believe in executing our own ideas rather than simply passing them off.Your ResponsibilitiesCollaborate with the copywriter to bring creative concepts and campaigns to life from inception to execution.Art direct across all formats: advertising, branding, web, product, video, social media, email, event materials, and editorial design support.Conceptualize campaign ideas that go beyond mockups to create effective multi-channel executions.Help evolve and refine the brand's look and feel.Contribute to creative presentations and pitch decks for the sales team.Independently lead art direction-driven projects (web, product, editorial) as needed.

Apr 10, 2026

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Staff Platform Engineer

Forge Global

Full-time|$167K/yr - $190K/yr|Hybrid|New York, New York, United States

At Forge, we recognize that our team is our most valuable asset. As pioneers in the technology sector of the private market, we envision a future enriched for all. We embody this vision through our core values of boldness, accountability, and humility. Daily, we witness the impact of our vision, assisting the teams that drive the most significant innovations of our time, from space exploration to artificial intelligence, and beyond. With an array of liquidity solutions, exclusive data insights, a custody offering, and a dynamic marketplace, Forge is dedicated to developing a top-tier technology infrastructure that fuels a global private market characterized by transparency, accessibility, and seamless interactions for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can provide pre-IPO liquidity to shareholders, and individual and institutional investors can engage in the growth of private unicorns. Our distinctive global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, fostering a growing network effect. Our capability to deliver these impactful financial solutions has sparked remarkable interest from investors, heightened demand from clients, and a pressing need to expand our team to cater to an increasing number of companies, teams, and innovators in this manner. The Role: The platform engineering team at Forge is driven by a passion for innovation and the creation of scalable, secure infrastructure solutions that facilitate liquidity and growth within the private market. Our teams are harnessing a diverse range of technologies to support our core platform, Metal, and we excel in moving swiftly, delivering value, and upholding our principles of being bold, humble, and accountable.We are on the lookout for a dedicated platform engineer with a minimum of 7 years of experience in delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in collaborative environments and is driven by the desire to foster success around them through effective communication, architecting exceptional developer experiences, and making informed, data-driven decisions.To thrive in the Staff Platform Engineer position at Forge, you will leverage your infrastructure and software expertise to deliver high-quality platforms both independently and through guiding others. You will have the opportunity to tackle advanced infrastructure projects—from multi-cluster orchestration to automation of SOC 2 compliance—while also being a productive and cooperative member of our team.Location: This role requires 2-3 days a week in office in Soho, NY.

Apr 10, 2026

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Senior Staff Engineer, AI Platform

Quizlet, Inc.

Full-time|On-site|San Francisco, CA

Quizlet, Inc. supports millions of learners each month by combining cognitive science with advanced machine learning. The platform serves two-thirds of U.S. high school students and half of college students, powering over 2 billion learning interactions monthly. Quizlet’s mission centers on making education more personal and effective for students, professionals, and lifelong learners. The AI & Data Platform team underpins Quizlet’s applied AI initiatives. This group develops and maintains the systems behind personalization, recommendations, the AI Coach, content generation, and emerging agentic experiences. The team oversees the full machine learning model lifecycle: data and feature engineering, training, evaluation, deployment, and inference. Reliability, speed, security, and observability guide their work. Their approach blends managed Google Cloud services, top vendor tools, open-source solutions, and custom internal abstractions to achieve efficient, reliable outcomes. Role overview The Senior Staff Engineer, AI Platform, is a senior individual contributor who defines the technical direction for Quizlet’s next generation of machine learning and large language model infrastructure. This hands-on role involves architecting core platform systems, steering build-versus-buy decisions, and collaborating with teams across Applied AI, Data Science, Product Engineering, and Infrastructure. The position sets standards for how models and LLM-driven systems are trained, evaluated, deployed, and governed at scale. This role is well suited to an engineer who excels at the senior-staff level in large organizations but values the autonomy and impact of a smaller, cloud-native setting. The technology stack includes Google Cloud, Kubernetes and GKE, distributed training, MLflow workflows, data and feature platforms, online and asynchronous inference, and the evaluation and observability tools needed to operate predictive ML and LLM systems at scale. Work location and schedule This is an onsite position based in San Francisco, CA. Team members are expected in the office at least three days a week: Monday, Wednesday, and Thursday, to foster collaboration.

Apr 23, 2026

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