Special Projects Manager at aisafety | San Francisco, CA

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the critical challenges posed by artificial intelligence. Our mission is to mitigate societal-scale risks associated with AI, leveraging technical research, field-building initiatives, and policy engagement. Together with our sister organization, the Ce…

About the RoleJoin us as we revolutionize the creation of audio and video content with our cutting-edge AI-driven platform and web application. Our mission is to simplify the process of recording, transcribing, editing, and mixing audio and video online, presenting unique technical challenges that require innovative solutions.We are seeking a seasoned software engineer to develop a state-of-the-art video editing and streaming platform that will enhance the core editing and AI functionalities of our application.

The Center for AI Safety (CAIS) stands at the forefront of research and advocacy, dedicated to addressing the pressing societal-scale risks posed by artificial intelligence. Our mission is to confront AI's greatest challenges through rigorous technical research, innovative field-building initiatives, and impactful policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.We are committed to maximizing our positive impact through an expansive array of programs. Notable achievements include the introduction of the most widely utilized AI capabilities measurement embraced by leading AI companies, operating a substantial compute cluster for AI safety research that has been cited over 16,000 times, and the publication of a global statement on AI Risk, endorsed by prominent figures including Geoffrey Hinton, Yoshua Bengio, and leading AI CEOs.We seek enthusiastic and proactive individuals to manage and implement programs spanning public engagement, operations, publications, special projects, and research. Potential projects may involve collaborating with the creators of #TeamTrees to launch a campaign focused on AGI, aiding researchers in developing benchmarks related to deception and weaponization risks, establishing an AI safety hub in Washington, D.C., or devising strategies to engage YouTube creators and long-form content producers on AI safety topics. At CAIS, we are a fast-paced, meritocratic organization where responsibilities and leadership opportunities expand for those who demonstrate initiative and consistently deliver results.

Lyft is hiring a Counsel for its Product & Commercial Legal Team in San Francisco. This attorney will focus on Lyft’s rideshare and safety programs, with a particular emphasis on safety initiatives, driver issues, and public policy. Role Overview This position works closely with teams across the company, including Safety & Customer Care, Risk Management, Driver Operations, Rider Services, Policy Advocacy, and Marketing. The legal work is varied and often addresses new challenges in the rideshare industry. Expect to handle matters that require both creative problem-solving and sound legal judgment. What You Will Do Advise on legal issues related to Lyft’s safety programs and driver support Help shape public policy and respond to regulatory developments Work with cross-functional partners to address legal risks and support business goals Provide practical guidance in situations with evolving or ambiguous legal frameworks What Sets You Up for Success Strong relationship-building skills across teams and functions Comfort with ambiguity and shifting priorities Experience managing legal risk in a changing environment Ability to offer clear, actionable legal advice Lyft values a workplace where everyone can thrive and contribute. The company seeks candidates who are proactive, collaborative, and ready to help shape the future of rideshare safety.

Join Cartesia as an Inference EngineerAt Cartesia, our vision is to create the next evolution of AI: an interactive, omnipresent intelligence that operates seamlessly across all environments. Currently, even the most advanced models struggle to continuously analyze a year's worth of audio, video, and text data—comprising 1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—much less perform these tasks on-device.We are at the forefront of developing the model architectures that will make this a reality. Our founding team, who met as PhD candidates at the Stanford AI Lab, pioneered State Space Models (SSMs), a groundbreaking framework for training efficient, large-scale foundation models. Our talented team merges deep expertise in model innovation and systems engineering with a design-focused product engineering approach, enabling us to build and launch state-of-the-art models and user experiences.Supported by leading investors such as Index Ventures and Lightspeed Venture Partners, along with contributions from Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks, and others, we are fortunate to be guided by numerous exceptional advisors and over 90 angel investors from diverse industries, including some of the world’s foremost experts in AI.About the RoleWe are actively seeking an Inference Engineer to propel our mission of creating real-time multimodal intelligence.Your ImpactDevelop and implement a low-latency, scalable, and dependable model inference and serving stack for our innovative foundation models utilizing Transformers, SSMs, and hybrid models.Collaborate closely with our research team and product engineers to efficiently deliver our product suite in a fast, cost-effective, and reliable manner.Construct robust inference infrastructure and monitoring systems for our product offerings.Enjoy substantial autonomy in shaping our products and directly influencing how cutting-edge AI is integrated across diverse devices and applications.What You BringAt Cartesia, we prioritize strong engineering skills due to the complexity and scale of the challenges we tackle.Proficient engineering skills with a comfort level in navigating intricate codebases, and a commitment to producing clean, maintainable code.Experience in developing large-scale distributed systems with strict performance, reliability, and observability requirements.Proven technical leadership, capable of executing and delivering results from zero to one amidst uncertainty.A background in or experience with inference pipelines, machine learning, and generative models.

About CartesiaAt Cartesia, our vision is to create the future of artificial intelligence—intelligent systems that are seamlessly integrated into daily life. We aim to overcome current limitations by enabling models to continuously understand and analyze vast streams of audio, video, and text data—ranging from 1 billion text tokens to 1 trillion video tokens—right on your device.Our pioneering team, comprised of PhDs from the Stanford AI Lab, has developed State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. With a rich blend of expertise in model innovation and systems engineering, alongside a product-focused engineering team, we are committed to developing and delivering cutting-edge AI models and user experiences.Supported by prominent investors including Index Ventures and Lightspeed Venture Partners, as well as many esteemed advisors and over 90 angel investors from diverse industries, we are at the forefront of AI advancements.About The RoleIn our quest to create truly global AI, we must train our models using datasets that represent the vast diversity of languages and cultures around the world. We are looking for a Research Engineer to take charge of the quality and comprehensiveness of the data that drives our models. As our in-house expert in global data, you will ensure that our models excel across multiple languages, leveraging your keen understanding of linguistic subtleties and your enthusiasm for building inclusive, large-scale datasets.Your ImpactDesign and construct extensive datasets for model training, conducting controlled experiments to evaluate their effect on model performance.Develop assessments for speech models through both manual annotation and automated evaluation metrics.Utilize data generation techniques to enhance model intelligence and reduce biases.Create automated quality control systems to validate and filter the generated data.Collaborate with product teams to ensure optimal support for key languages and markets.What You BringProven experience in developing or working with extensive multilingual datasets.Familiarity with generative models, including speech, text, or multimodal systems.Ability to guide human annotation and evaluation across various languages.Strong analytical skills and a passion for data-driven decision-making.

Join Waymo's team as a Risk Management Engineer where you will play a pivotal role in enhancing the safety and reliability of autonomous driving technology. You will collaborate with cross-functional teams to identify, analyze, and mitigate risks associated with our cutting-edge projects.

At Runlayer, we're at the forefront of AI innovation, transforming how enterprises operate. While many organizations are eager to harness the power of AI tools and workflows, they often struggle to implement them securely. Our mission is to bridge that gap.Our accomplished team has developed AI Actions for OpenAI, launched Zapier Agents to millions, and introduced the first remote MCP server with Anthropic. With the co-creator of MCP as part of our cap table, we established the protocol and are now building the essential platform that enterprises need to leverage it effectively.Runlayer is a comprehensive platform for MCPs, Skills, and Agents. We provide purpose-built security, fine-tuned governance, and complete observability, empowering organizations to advance AI initiatives across all departments with minimized risk. Backed by $11M from Khosla Ventures and Felicis, our clients include notable names such as Gusto, Instacart, and Opendoor.As a burgeoning team of 20, primarily composed of engineers, we are delivering rapid results. If you're eager to be at the epicenter of AI execution, this is your opportunity.In the role of Forward Deployed Engineer, you will take charge of the technical aspects of customer go-to-market strategies, managing Proofs of Concept (POCs), resolving integration challenges, and collaborating closely with clients to ensure successful deployment on Runlayer.

At Hover, we empower individuals to design, enhance, and safeguard the properties they cherish. Our innovative AI technology, built on over a decade of real estate data, provides answers to pivotal questions like, “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals depend on Hover for accurate, fully-measured, and interactive 3D models of any property, all achievable through a quick smartphone scan.Driven by curiosity and purpose, we are committed to serving our customers, communities, and one another. We believe that diverse perspectives yield the best ideas and are proud to foster an inclusive, high-performance culture that promotes growth, accountability, and excellence. Supported by renowned investors such as Google Ventures and Menlo Ventures, and trusted by industry leaders like Travelers, State Farm, and Nationwide, we are revolutionizing how people perceive and engage with their environments.Why Join Hover?We are transforming the construction industry by providing modern tools for design, documentation, and project estimation—areas that have long been neglected by software solutions. We seek a Senior Software Engineer excited to tackle real-world challenges and deliver software that aids thousands of professionals in designing, scoping jobs, planning projects, and achieving superior results for homeowners.In this role, you will utilize your strong technical skills, product insight, and collaborative spirit. You will take ownership of features from concept through to user delivery, influencing our development approach and enhancing your leadership abilities beyond coding. This position is perfect for someone ready to embrace greater responsibility, drive results with cross-functional teams, and shape the technical roadmap for a high-impact group.Your ContributionsAs a Senior Software Engineer, you will work across the stack—primarily using Ruby on Rails, React, and GraphQL—with opportunities to contribute to React Native mobile applications. You will build robust, scalable systems that power Hover's core product experiences.You will lead projects and features from inception to launch, covering everything from technical discovery and design to iteration and enhancement. Your contributions will impact customer-facing workflows, including onboarding, interactive design tools, inspections, and transactional systems, as well as platform capabilities that ensure product consistency.From crafting polished user interfaces to modeling backend systems and designing APIs, you will influence how professionals interact with Hover throughout their workflows. You will work closely with product and design teams, enhance shared systems, and foster a positive engineering culture through mentorship and collaboration.

Join our dynamic team as a Senior Software Engineer at toma, where you will play a pivotal role in developing innovative software solutions that drive our business forward. In this position, you will collaborate with cross-functional teams to design, implement, and maintain scalable applications. Your expertise will be essential in ensuring high-quality code and streamlined processes, ultimately enhancing our product offerings.

Astranis is revolutionizing the way we communicate by building cutting-edge satellites for high orbits, significantly expanding humanity’s capabilities in space exploration. Our satellites deliver dedicated, secure networks to a diverse range of sophisticated clients, including large enterprises, sovereign governments, and the US military. With five satellites currently operational and a pipeline of new launches, we are addressing a backlog exceeding $1 billion in commercial contracts.Astranis is recognized as the preferred satellite communications partner for clients that demand exceptional uptime, data security, network visibility, and customization. Backed by over $750 million in investments from leading firms like Andreessen Horowitz, Blackrock, and Fidelity, our team of 450 engineers and entrepreneurs designs, builds, and operates our satellites from our expansive 153,000 sq. ft. headquarters in Northern California, USA.Systems Administrator - LinuxWe are in search of a skilled Systems Administrator with extensive Linux expertise to enhance our infrastructure. In this pivotal role, you will ensure the reliability, performance, and security of our core systems that facilitate daily operations. You will collaborate with technical teams to implement enhancements, optimize operations, and maintain resilience in our environment.

Join Us as a Product EngineerAt Variance, we are at the forefront of teaching machines to navigate complex decision-making processes at scale. Our mission involves developing AI agents designed to combat fraud, scams, and abuse with high precision.Based in San Francisco, our small but highly skilled team is dedicated to solving challenges that impact billions of events and entities. We proudly serve a diverse clientele, including Fortune 500 companies and global marketplaces, as we strive to save millions of hours of human labor. If you excel in environments that demand ownership, speed, and collaboration with founders, you'll thrive here.Who You Are:You possess a deep passion for craftsmanship and have clear opinions about your work.You are familiar with our technology stack: React/Next.js, TypeScript, MySQL, and ClickHouse. However, we prioritize foundational skills over specific technologies.You thrive on owning features from backend development to a polished user interface and deployment.You are excited by the opportunity to create AI interfaces that have the potential to save lives.Your Responsibilities:Deliver end-to-end features with iteration cycles that are measured in hours, rather than months.Expand our product into new sectors and workflows through swift pilots and live demonstrations.Collaborate directly with the founders on large-scale, pioneering challenges.Design systems where AI algorithms make real-time decisions, ensuring a balance between accuracy, speed, and user confidence.Our Culture:We foster a culture of ownership, urgency, and craftsmanship. We encourage spirited discussions, innovative ideas, and creating work we take pride in. Our team operates fully in-person in San Francisco.What We Offer:A competitive salary accompanied by meaningful equity.Comprehensive healthcare options, including platinum-level medical, dental, and vision coverage.Unlimited paid time off (PTO), sick leave, and parental leave.Monthly reimbursement of up to $100 for personal health and wellness expenses.401(k) retirement plan.

About Our TeamJoin our dynamic Infrastructure organization at OpenAI, where we are actively seeking talented software engineers to bolster our efforts across several high-impact teams. With a variety of focus areas available—including Core Distributed Systems, Databases, Observability, and Cloud Infrastructure—you'll have the opportunity to work on projects that fascinate you. Our teams operate with a high level of autonomy and foster a deeply collaborative environment, all dedicated to enhancing safety, reliability, and operational velocity across the organization.About the RoleAs a Software Engineer focused on Infrastructure Reliability, you will play a pivotal role in scaling and fortifying the infrastructure that supports some of the world’s most widely utilized AI systems. Your work will ensure that our systems maintain high reliability, observability, performance, and security—enabling researchers to iterate rapidly and allowing products like ChatGPT and the OpenAI API to effectively serve millions of users.This hands-on, impactful role is perfect for engineers who enjoy ownership, excel at solving complex technical challenges across the entire stack, and wish to contribute to systems that facilitate cutting-edge research deployed on a global scale. You will significantly influence technical direction, enhance system resilience, and collaborate closely with infrastructure, product, and research teams to transform intricate infrastructure into dependable platforms.Key ResponsibilitiesDesign, construct, and maintain reliable, high-performance systems utilized across engineering.Identify and resolve performance bottlenecks and inefficiencies, ensuring our infrastructure scales appropriately.Investigate and troubleshoot complex issues thoroughly.Enhance automation to minimize manual tasks and improve internal developer tools.Participate in incident response, postmortem analysis, and the development of best practices surrounding system reliability and scalability.Ideal Candidate ProfilePossess a deep understanding of distributed systems principles, with a proven track record in developing and managing scalable, reliable systems.Demonstrate a strong focus on performance and optimization, with the ability to maximize efficiency in complex, globally distributed systems.Have experience managing orchestration systems such as Kubernetes at scale and creating abstractions over cloud platforms.Be comfortable working within Linux environments and possess strong problem-solving skills.

About the TeamThe Applied team is dedicated to responsibly introducing OpenAI's groundbreaking technology to the global community. We have launched revolutionary products like ChatGPT, Plugins, DALL·E, and APIs for GPT-5, embeddings, and fine-tuning. Additionally, we manage extensive inference infrastructure to support our rapidly advancing initiatives.Our clients leverage our APIs to create dynamic businesses with innovative product features previously thought impossible. For instance, ChatGPT exemplifies the capabilities our technology currently offers. We prioritize the responsible use of our powerful tools, ensuring that safety remains paramount over unrestricted growth.The Fraud Engineering team operates within the Applied Engineering organization, focusing on identifying and mitigating fraudulent activities on our platform. We are seeking a software engineer with expertise in anti-fraud and abuse systems to help us design and implement next-generation solutions.About the RoleThe Scaled Abuse team safeguards OpenAI’s products and users by detecting, preventing, and addressing fraudulent and abusive activities on a large scale. We develop and maintain backend and data systems that facilitate real-time detection, investigative workflows, and enforcement, ensuring a balance between robust protection and an excellent user experience as our platform evolves.Our work lies at the convergence of engineering and abuse prevention expertise. We collaborate closely with Trust & Safety, Security, and Product teams to identify emerging attack trends, translate complex signals into actionable system behavior, and continuously enhance our defenses. We value engineers who can navigate unfamiliar codebases swiftly, develop a deep understanding of system functionality, and suggest practical improvements to enhance overall resilience.In This Role, You Will:Design and develop systems for fraud detection and remediation, balancing fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent and abusive behaviors on our platform.Stay updated with the latest techniques and tools to remain ahead of determined adversaries.Utilize GPT-5 and future models to enhance our fraud and abuse mitigation efforts.You May Thrive in This Role If You:Possess at least 5 years of software engineering experience, particularly in backend and data systems.

Join Plaud as a Backend Engineer and be part of an innovative team driving the future of technology. You will design, develop, and maintain scalable backend systems that enhance our product offerings and improve user experiences. This is an exciting opportunity to work with cutting-edge technologies and collaborate with talented professionals in a fast-paced environment.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive, ubiquitous intelligence that operates seamlessly in any environment. Our vision includes pushing the boundaries of current AI capabilities, enabling models to continuously process and reason over vast streams of audio, video, and text data—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—on-device.Our pioneering work in model architectures originates from our founding team’s experience at the Stanford AI Lab, where we developed State Space Models (SSMs), a breakthrough approach for training large-scale, efficient foundation models. Our team is a blend of deep expertise in model innovation and systems engineering, combined with a design-focused product engineering team dedicated to launching cutting-edge models and user experiences.Backed by top-tier investors including Index Ventures and Lightspeed Venture Partners, alongside a robust network of advisors and over 90 angel investors from various sectors, we are fortunate to collaborate with some of the leading minds in AI.About the RoleWe are excited to welcome our first Solutions Engineer, who will play a vital role in facilitating the enterprise adoption of Cartesia’s voice AI infrastructure. Our clients are developing real-time voice agents, call automation systems, and AI workflows that rely on low latency, reliability, and seamless production-grade integration.As a Solutions Engineer, you will collaborate closely with Account Executives throughout the technical aspects of key deals—from initial discovery to proof-of-concept and technical validation. You will bridge the gap between engineering and market entry, translating customer workflows and infrastructure challenges into actionable architectural solutions.This role demands a proactive, hands-on approach. You will write code, create demos, prototype integrations, and engage in technical discussions with engineering leaders. Rather than following an existing playbook, you'll contribute to developing one by establishing demo environments, documentation, and scalable processes as we expand.Your contributions as a Solutions Engineer will be crucial for our growth; deals will be secured because of sound architecture, functional integration, and the trust we build with customers to power their real-time production systems.

Join tvScientific as a Machine Learning Engineer where you will leverage cutting-edge machine learning techniques to enhance our advertising platform. You will be responsible for developing and optimizing algorithms that drive effective ad targeting and analytics. Collaborate with cross-functional teams to integrate machine learning solutions that improve user engagement and maximize return on investment for our clients.

About Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

Join our innovative team at Planet Labs as a Business Systems Analyst, specializing in HR and Legal Systems. In this pivotal role, you will leverage your analytical skills to enhance our systems, streamline processes, and support our mission of providing global satellite imagery. Your expertise will ensure that our HR and legal operations run smoothly and efficiently, enabling us to make data-driven decisions.As a member of our team, you will collaborate with various departments to assess needs, gather requirements, and implement solutions that align with our strategic goals.

At Crusoe, our mission is to foster a future abundant with energy and intelligence. We are building the infrastructure that enables ambitious AI creations without compromising on scale, speed, or sustainability.Join us in leading the AI revolution through sustainable technology at Crusoe. In this role, you will drive significant innovations, contribute to impactful solutions, and collaborate with a team that is at the forefront of responsible, transformative cloud infrastructure.About This RoleWe are looking for an Atlassian Cloud Engineer who will be the primary architect and strategic leader of our Atlassian ecosystem. This role combines in-depth technical knowledge with strong project management skills to ensure that Jira, Confluence, and related tools are optimized for collaboration, delivery, and service management. As the platform owner and change agent, you will drive innovation, implement best practices, and facilitate adoption as our business scales.What You’ll Be Working OnManaging the daily administration and long-term strategy for the Atlassian suite, including Jira Software, Jira Service Management, Confluence, Opsgenie, Product Discovery, and Statuspage.Customizing workflows, permissions, dashboards, and automation to enhance project execution, visibility, and inter-team collaboration.Collaborating with project managers, business leaders, and IT teams to integrate effective project management and IT service management practices within the Atlassian tools.Designing sophisticated reporting and analytics using eazyBI, JQL, filters, CQL, and dashboards to enable real-time decision-making.Serving as the escalation point for complex platform issues, working closely with Atlassian Support and our internal Service Desk teams.Leading enhancements of the platform by staying updated with Atlassian’s roadmap and promoting the adoption of new features.Advancing AI initiatives within the Atlassian ecosystem, including the development of custom agents using Atlassian Rovo and the implementation of the Rovo MCP server.Collaborating across IT to ensure system reliability, security, and alignment with broader business objectives.What You’ll Bring to the TeamA minimum of 3 years of experience in administering Atlassian Cloud environments in enterprise settings.Demonstrated ownership of Jira and Confluence customization, site administration, and daily operations.Proficient in advanced reporting and analytics tools.Strong project management skills and the ability to collaborate effectively across teams.