Artificial Intelligence Engineer

Join Arbital Health as an Artificial Intelligence Engineer, where you'll be at the forefront of innovation, developing intelligent solutions that transform healthcare. Your role will involve designing, implementing, and optimizing AI algorithms to enhance patient care and operational efficiency. Collaborate with cross-functional teams to tackle complex challenges and drive the future of health technology.

Why Weave ExistsAt Weave, we are dedicated to revolutionizing the capture, transformation, and communication of therapeutic knowledge throughout the drug development process. Our mission is to empower human experts with advanced AI tools, ensuring that new medications reach patients swiftly, safely, and cost-effectively.The Weave Platform enhances regulatory workflows by seamlessly integrating AI into every stage of the process. Collaborating with our clients, we are crafting the ultimate AI workbench for the entire therapeutic lifecycle.The Role & Your MissionWe invite applications for the position of Director of Applied Artificial Intelligence, where you will spearhead our Applied AI team at Weave. You will be responsible for guiding your team, fostering a positive work environment, planning long-term architectural initiatives, and ensuring a high standard of excellence. You will make pivotal decisions regarding AI architecture and personnel management, driving architectural direction and roadmap implementation while supporting the technical and personal growth of your team. This role reports directly to the Head of Engineering.The Applied AI team's mission is to deepen our understanding of large language models (LLMs) and their derivatives (such as agents and retrieval-augmented generation) to develop, assess, and deploy AI features that are valuable, controllable, and trustworthy within the Weave platform.Technical leaders at Weave are expected to maintain hands-on involvement, whether through troubleshooting, reviewing pull requests, or engaging in constructive technical discussions. We believe that effective management of technical teams requires staying technically adept while allowing your team the space to excel. You will be the leader that scientists and engineers can depend on; you are technical, you approach problems with enthusiasm, and you clear obstacles for your team.

Join our dynamic team at Cloudflare as a Software Engineer specializing in Artificial Intelligence. In this role, you will work on innovative projects that leverage AI technologies to enhance our services and improve user experiences. You will collaborate with cross-functional teams to design and implement solutions that are scalable, efficient, and impactful.

With robust backing from prominent investors in Silicon Valley, Peregrine Technologies is at the forefront of empowering public safety organizations, governmental bodies at state and local levels, federal agencies, and private sector entities to tackle societal challenges with unmatched efficiency and precision. Our cutting-edge AI platform transforms fragmented data into actionable intelligence, promptly providing vital insights that enable swift and informed decision-making. Currently, Peregrine serves hundreds of clients across over 30 states and two countries, positively impacting more than 125 million lives — and we are on a trajectory to extend our influence into the enterprise sector and internationally.The RoleAs the Director of Applied Artificial Intelligence, you will spearhead the strategic application, assessment, and operationalization of artificial intelligence within our product suite. Your expertise will help translate intricate data sets into reliable, comprehensible, and impactful functionalities deployed in the field.This role centers on the deployment of production AI in critical environments. You will lead initiatives to develop AI-driven features that assist clients in identifying risks, extracting insights, and making faster, superior decisions, all while upholding high standards of reliability, transparency, and performance.Key ResponsibilitiesDevelop AI-Driven Product FeaturesDirect the design and implementation of customer-oriented AI features across Peregrine’s platform.Transform real-world operational challenges into effective, deployable AI solutions.Collaborate extensively with Product, Deployment Strategists, and Engineering teams to seamlessly integrate AI into core workflows.AI/ML FoundationOversee and refine fine-tuning strategies and reinforcement learning to enhance decision-making quality.Evaluate and make informed trade-offs between classical ML, deep learning, and LLM-based methods based on accuracy, latency, and risk considerations.AI InfrastructureShape the AI infrastructure at Peregrine, covering:Training and inference pipelines.Model serving, version control, and rollback strategies.Integration with both real-time and batch data systems.Ensure models are observable, scalable, secure, and cost-efficient in production settings.Adhere to enterprise and governmental standards and regulations.Assessment, Trust, and QualityEstablish and manage comprehensive evaluation frameworks.

Weave builds advanced AI tools for drug development, aiming to help human experts bring medications to patients faster, more safely, and at lower cost. The Weave Platform integrates AI into regulatory workflows throughout the therapeutic lifecycle, supporting clients with technology tailored to the unique challenges of this field. The Director of Applied Artificial Intelligence leads the Applied AI team in the San Francisco Bay Area. This role shapes the technical direction of Weave’s AI work, oversees team culture, and manages growth as needed. The Director has final authority over AI architecture decisions and team personnel, reporting directly to the Head of Engineering. The Applied AI team works with Large Language Models (LLMs) and related technologies, such as agents and retrieval-augmented generation (RAG). Efforts focus on creating, evaluating, and deploying AI features that are reliable, controllable, and valuable within the Weave platform. Technical leaders at Weave remain hands-on, contributing to code, reviewing pull requests, and engaging in technical discussions. The Director balances technical involvement with team empowerment and serves as the main point of contact for scientists and engineers. Key Responsibilities Develop AI features that address customer needs and build user trust. Set and uphold high standards for analytical rigor, evidence-based decisions, and LLM expertise. Plan and execute AI architecture investments in collaboration with Product and Technical Leadership. Foster a culture that delivers valuable AI features to clients regularly and quickly. Establish and enforce quality standards to strengthen customer confidence. Keep the Weave platform aligned with current AI advancements. Recruit, manage, and retain top talent for the Applied AI team. Location San Francisco Bay Area, CA

Dealpath is at the forefront of digital transformation in real estate investment, revolutionizing decision-making for the world's largest asset class. We are intensifying our commitment to artificial intelligence to expand the boundaries of what is achievable, and we are on the lookout for a proactive and visionary Principal Product Manager to lead our AI initiatives, foster product innovation, and drive business growth. In this strategic position, reporting directly to the VP of Product & Design, you will work closely with our CTO, SVP of Product, design, engineering teams, and senior executives from leading global investment firms such as Blackstone, Nuveen, Starwood, Oxford, CBRE, and JLL. Your goal is to leverage cutting-edge AI technologies to create products that facilitate smarter, faster, and more impactful real estate investment decisions. You will also play a crucial role in ensuring model quality, achieving success, and establishing thought leadership in the industry. The Importance of This Role AI is transforming virtually every sector, and Dealpath is strategically positioned to lead this change in real estate investment. As the Principal Product Manager for AI, you will: Shape and Drive the AI Vision: Develop an innovative AI strategy that seamlessly integrates with the overall product roadmap and achieves measurable business results. Lead Thought Leadership: Advocate for Dealpath’s AI advancements by producing content, hosting webinars, and interacting with clients and prospects. Join Us! Steer the AI Product Roadmap: Define, prioritize, and implement an ambitious AI product roadmap that balances immediate achievements with long-term platform vision, ensuring alignment with Dealpath's broader product and business objectives. Facilitate End-to-End Execution: Quickly prototype and test AI-powered solutions, build and maintain AI evaluations to validate model performance, and collaborate with AI/ML engineers to create proofs of concept. Drive cross-functional teamwork with AI/ML, front-end engineering, design, and marketing to launch polished, production-ready AI products into the market.

Join Sierra as a Software Engineer specializing in Intelligence, where you will play a pivotal role in developing innovative software solutions that enhance our intelligence capabilities. Collaborate with a dynamic team of professionals in a stimulating environment that encourages creativity and technical growth.

About Our TeamAt OpenAI, the Privacy Engineering Team plays a pivotal role in embedding privacy as a core principle within our mission to develop Artificial General Intelligence (AGI). Our commitment extends across all OpenAI products and systems that manage user information, ensuring we adhere to the highest standards of data privacy and security.We focus on creating vital production services, pioneering innovative privacy-preserving techniques, and empowering cross-functional engineering and research teams with the tools necessary for responsible data utilization. Our dedication to responsible data management is integral to OpenAI's goal of safely advancing AGI for the benefit of all.About the RoleWe are seeking a passionate Software Engineer with a strong background in developing secure backend systems that prioritize user data protection. This position is ideal for individuals deeply committed to the intersection of product development, privacy, and security.This position is based in San Francisco, with relocation assistance available.In this role, your responsibilities will include:Designing, developing, and implementing backend systems that enhance privacy and security features within our API products and consumer applications.Conducting threat modeling, privacy design reviews, and code assessments to maintain the highest standards of privacy and security.Collaborating with product managers and engineering teams to create innovative products that leverage cutting-edge research while preserving privacy and security integrity.Engaging with the legal team to document and assess internal compliance measures, ensuring alignment with legal standards and conducting comprehensive audits to uphold compliance and integrity.Coordinating and actively participating in privacy incident response initiatives.You will excel in this role if you:Possess extensive experience in building and refining production systems to comply with legal standards while enhancing scalability and privacy safeguards.Have successfully led or contributed significantly to security initiatives, showcasing your ability to collaborate across functions.Demonstrate a strong passion for user privacy and security, ensuring the highest standards are met in all aspects of your work.

At Plaid, we envision a future where financial interactions are seamless and intuitive. Our mission is to drive this evolution by crafting powerful tools and experiences that developers leverage to create impactful financial products. With our technology, millions of individuals can manage their finances more effectively. Partnering with renowned companies like Venmo, SoFi, and several Fortune 500 firms, we simplify the process of connecting financial accounts to the applications people depend on. Our network encompasses over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, our headquarters is in San Francisco, complemented by offices in New York, Washington D.C., London, and Amsterdam.The advent of AI and intelligent systems marks a pivotal shift in technology, following the eras of mainframes, personal computing, the internet, and mobile devices. We believe that AI will fundamentally transform the FinTech sector—altering consumer finance management, application development, and operational dynamics across businesses.Plaid's Role in the AI-Driven FinTech LandscapePlaid is uniquely positioned to become the backbone of financial data and insights for AI-powered applications in this rapidly evolving FinTech ecosystem.We advocate for consumers to manage their finances effortlessly through conversational AI interfaces. Our commitment extends to ensuring a reliable consent and authorization manager for enhanced privacy and security. We envision a world where identity verification and fraud prevention in AI solutions are seamlessly integrated for users. The demand for such innovations is growing.Leading AI companies, significant fintechs, and customer support platforms are actively integrating Plaid into their AI-driven products and solutions.AI-Enhanced Customer Experiences at PlaidThe rapid advancement of model intelligence presents a unique opportunity for Plaid to reinvent our operations and customer interactions, optimizing the overall experience.Our initial forays into AI-driven customer support have yielded substantial business benefits, demonstrating our commitment to innovative solutions that elevate customer satisfaction.

Role overview This Software Engineer position at OpenAI focuses on inference and performance optimization. Based in San Francisco, the role centers on increasing the speed and efficiency of advanced AI systems. Collaboration with experienced engineers is a key part of the work, with an emphasis on refining AI performance. What you will do Work on optimizing the performance of AI inference systems Collaborate with other engineers to improve efficiency and speed Contribute to solutions that enhance AI system capabilities Location This role is based in San Francisco.

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

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

Lyft’s Self-Serve Intelligence team builds the systems that help riders and drivers resolve issues on their own. Part of the Safety & Customer Care organization, this group focuses on backend services, APIs, and AI-powered products that let customers get help without waiting for an agent. The team’s work includes AI Assist (such as AI Agents), automations, and self-service workflows, all designed to make support fast and reliable. Role overview As a Senior Software Engineer on this team, the main responsibility is to design, build, deploy, and maintain backend systems and AI-driven tools that handle customer problems automatically. These solutions use Generative AI and automation to deliver scalable, dependable self-service experiences for millions of Lyft riders and drivers. What you will do Design and develop backend services and APIs for AI-powered self-service products Build and maintain AI Agents and automation tools that resolve customer issues without agent involvement Oversee the full development lifecycle: system design, prototyping, deployment, and ongoing operations Work closely with product managers, designers, data scientists, and operations teams to deliver robust solutions Focus on reliability, scalability, and operational excellence in all systems Location This role is based in San Francisco, CA.

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

Imagine an enterprise-grade AppStore at your workplace — one that allows you to effortlessly search, request, and access any application you need, exactly when you need it. Say goodbye to long waiting times for IT requests. Lumos is transforming app and access management for organizations of all sizes through a seamless platform. Our rapidly growing startup is at the forefront of simplifying the intricate landscape of app and access management by constructing the essential infrastructure that connects applications, identities, and data. Why Choose Lumos?Join a Thriving Startup: Since emerging from stealth mode over two years ago, our team has expanded from 20 to nearly 100 employees, and our customer base has increased tenfold, including notable companies like GitHub, MongoDB, and Major League Baseball!Backed by Esteemed Investors: We have been supported by Andreessen Horowitz (a16z) from day one, raising over $65 million from prominent investors including Scale, Neo, Greg Brockman (President at OpenAI), and Phil Venables (CISO at Google).Flourish in a Distinctive Culture: Be part of an early-stage company where your contributions significantly influence our direction. We genuinely value our team and adhere to a philosophy that prioritizes our people — explore our values here.We are seeking a AI Agent Engineer to join our dynamic team. In this role, you will be responsible for developing and managing core AI features while ensuring the robustness of our engineering systems. You will have the opportunity to work across the technology stack, focusing on the areas that excite you the most and deliver value to our customers. Additionally, as we expand our engineering team, you will have leadership opportunities early in your career. Your contributions will play a vital role in scaling our product, team, and company as a whole.

The landscape of software development has been transformed by AI. At Corridor, we are at the forefront of this evolution, reshaping product security for the AI era. We empower developers to secure their AI-generated code effectively.Our innovative team operates at the confluence of AI and cybersecurity. With extensive backgrounds in leading security initiatives at some of the world’s largest corporations, shaping cybersecurity policies within the US government, and contributing to open models in both government and academia, we are seeking an AI Engineer to collaborate in building, testing, and deploying the AI systems that are integral to Corridor’s core products.In this hands-on role, you will blend applied research and engineering. You will work closely with our team to prototype concepts, transform research into production-ready systems, and engage in applied research at the nexus of AI and security.

Why Join AngelListAt AngelList, we are committed to tackling some of the most challenging issues in venture capital and private markets. Join a dynamic team that prioritizes precision, urgency, and strategic thinking. If you are eager to influence the funding and development of startups, this is your opportunity.About AngelListOur mission is to accelerate innovation by enhancing the success rate of startups worldwide. We achieve this by creating a robust financial infrastructure that facilitates investment in transformative companies.AngelList serves as the central hub for venture capital and the startup ecosystem, managing over $171 billion in assets and supporting investments in more than 13,000 startups, including over 300 unicorns. Currently, 57% of premier U.S. VC deals involve investors through AngelList. Our ambitions exceed our current scale.If you are passionate about shaping the future of private markets, we invite you to join our journey.About the Role:We are looking for Senior Software Engineers to be a part of our Intelligence team. In this role, you will be responsible for designing, developing, and maintaining services that facilitate retrieval, semantic search, agent orchestration, model integrations, and data pipelines, transforming our proprietary signals into actionable product features.For more insights into our product direction, please visit: our blog.

OverviewAt Pulse, we are revolutionizing data infrastructure by addressing the critical challenge of extracting precise, structured information from intricate documents at scale. Our innovative approach to document understanding integrates cutting-edge schema mapping with advanced extraction models that outshine traditional OCR and parsing tools.Based in the heart of San Francisco, our dynamic and rapidly expanding team of engineers collaborates with Fortune 100 companies, YC startups, public investment firms, and growth-stage enterprises. With the backing of top-tier investors, we are poised for significant growth.What sets our technology apart is our sophisticated multi-stage architecture:Specialized component detection models for layout understandingLow-latency OCR models designed for targeted extractionAdvanced reading-order algorithms to navigate complex document structuresProprietary recognition and parsing capabilities for table structuresFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, NLP, and data infrastructure, your contributions at Pulse will make a direct impact on our clients and the future of document intelligence.

About UsAt Physical Intelligence, we are pioneers in integrating general-purpose AI into the physical realm. Our team comprises dedicated engineers, scientists, roboticists, and innovators focused on creating advanced foundation models and learning algorithms that will empower the robots of today and the physically-actuated devices of tomorrow.To achieve outstanding real-world performance, we prioritize ultra-low system latency, reliable sensor pipelines, and comprehensive engineering that ensures perception and control loops function seamlessly at real-time speeds.As a Runtime Software Engineer, you will be at the forefront of developing low-latency, high-throughput systems that support our physical intelligence model. Your role will not involve designing ML models; instead, you will optimize the entire stack from the operating system to the camera pipeline and networking, ensuring flawless production execution. You will work closely with researchers, platform engineers, and robotics operators to identify performance bottlenecks and maximize system efficiency.The TeamOur Runtime team is crucial in creating the foundational platform that our robots, sensors, and evaluation systems depend on. This team excels in Linux systems engineering, camera and sensor integration, robot actuator control, networking, real-time input/output, and performance optimization tools. They ensure that our machine learning models and control systems function within strict latency constraints and are resilient under real-world conditions.Your ResponsibilitiesManage Real-Time Pipelines: Design and implement low-latency, high-reliability sensor and actuator pipelines utilizing Linux, drivers, and middleware.Enhance System Performance: Analyze and optimize computational efficiency across I/O, memory, scheduling, networking, and storage to satisfy real-time requirements and boost throughput.Develop OS-Level Features: Modify or expand Linux components, drivers, and scheduling mechanisms to ensure deterministic performance under load.Streaming & Video Systems: Create and refine real-time video streaming systems with precise frame timing and packet scheduling.Ensure Reliability & Debugging: Develop tools for profiling, tracing, and resolving timing challenges across distributed systems and hardware interfaces.Collaborate Across Functions: Partner with researchers, hardware engineers, and operational teams to drive system performance and reliability.

OverviewAt Pulse, we are revolutionizing the way data infrastructure operates by addressing the critical challenge of accurately extracting structured information from intricate documents on a large scale. Our innovative document understanding technique merges intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.Located in the heart of San Francisco, we are a dynamic team of engineers dedicated to empowering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. Backed by top-tier investors, we are rapidly expanding our footprint in the industry.What sets our technology apart is our sophisticated multi-stage architecture, which includes:Specialized models for layout understanding and component detectionLow-latency OCR models designed for precise extractionAdvanced algorithms for reading-order in complex document structuresProprietary methods for table structure recognition and parsingFine-tuned vision-language models for interpreting charts, tables, and figuresIf you possess a strong passion for the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will significantly impact our clients and help shape the future of document intelligence.