Applied AI Engineer - Internal at Matter Intelligence | San Francisco

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.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

About the RoleThorin is actively seeking a talented Applied AI Engineer to join our dynamic team in San Francisco. As a pivotal member of our engineering group, you will play a crucial role in laying the groundwork for our user-centric products. This position is perfect for full-stack developers who are enthusiastic about taking ownership of features from inception to deployment, delivering high-quality results swiftly.You will have the opportunity to engage with our technology stack comprehensively, developing everything from intuitive frontend interfaces to robust backend processes.This role emphasizes autonomy and responsibility, allowing you to make a significant impact on our innovative projects.Your ResponsibilitiesDevelop and launch key product features from initial concept through to production readiness.Oversee both frontend and backend development across essential workflows.Establish performance and quality standards for our high-achieving engineering team.Influence product strategy through regular feedback from users and stakeholders.Rapidly innovate within a startup environment, contributing to our zero-to-one initiatives.

About UsServal is an innovative AI-powered automation platform revolutionizing enterprise operations. Our intelligent agents adeptly comprehend and execute real-world workflows end-to-end, effectively replacing outdated manual processes and rigid systems with dynamic, learning software. Established in early 2024, Serval is already a trusted partner for industry leaders including General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating complex operational tasks to boost efficiency.At the heart of Serval lies an advanced agentic AI platform that transforms natural language into production-ready workflows. Our agents not only respond but also reason and take action across various systems, continually enhancing their capabilities through real-time usage. What started as a focus on operational tasks has swiftly expanded into a comprehensive AI automation solution applicable across IT, HR, Finance, Security, Legal, and Engineering.Our mission is to eradicate repetitive manual tasks within enterprises, empowering teams with intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that integrates seamlessly across business functions, ensuring modern companies run smoothly.Role SummaryAs an Applied AI Engineer at Serval, you will be instrumental in developing the intelligent backbone of our platform—creating foundational AI agents that reason, act, and automate intricate IT workflows. Your role will leverage cutting-edge models and techniques to transform monotonous IT processes into sophisticated automation solutions.Your ResponsibilitiesDesign, develop, and implement AI-driven features from inception to deployment.Enhance and optimize Serval’s applied AI systems, including model selection, fine-tuning, and evaluation pipelines.Integrate AI capabilities into production settings, ensuring they are reliable, scalable, and high-performing.Collaborate with engineering and product teams to create innovative customer experiences.Regularly assess model performance and iterate on improvements based on data and user feedback.Establish industry-leading AI engineering practices and elevate the technical standards across the team.

About RiveRive empowers designers, animators, and developers to craft interactive experiences seamlessly. Our platform combines design, animation, and coding in a single environment, ensuring what you create in the editor is precisely what gets deployed in your app, game, or website. Forget mockups, prototypes, or tedious handoffs — experience the real deal.Leading companies like Spotify, Duolingo, LinkedIn, Google, and Fortune 500 automakers utilize our open-source runtimes to create once and deploy everywhere — across websites, applications, games, and vehicles.At Rive, we break down silos, allowing designers and developers to collaborate using the same powerful tools. What you see in the editor is what you get in production.Our Perspective on AIWhile many AI tools aim to democratize artistry, our vision is to empower artists to reach their full potential.At Rive, our AI solutions don’t replace artists; they enhance their capabilities, enabling them to create custom particle systems, cloners, path effects, data connections, physics systems, and even complete games. Our focus is on eliminating barriers that restrict creativity, allowing artists to transform their visions into tangible results.We are developing a professional-grade tool tailored for designers, animators, and developers. Our goal is to elevate creativity, pushing the boundaries of what is possible.If this resonates with you, we encourage you to continue reading.The RoleWe are in search of an Applied AI Engineer to spearhead the integration and advancement of AI features within Rive's editor. Reporting directly to the CEO and CTO, your role will encompass two primary objectives:1. Enhance Rive's AI agent for designers, animators, and developers. We have developed an AI agent that assists in script writing, tool creation (including particle systems, cloners, path effects, and physics systems), data connections, and game development—all within the editor. Your mission is to refine this tool, making it more efficient and intelligent.2. Innovate AI applications within the editor. The AI landscape is rapidly evolving, with new models emerging weekly. In this position, you will be the driving force behind understanding these advancements, assessing their implications for Rive, and prototyping their potential integration into our editor. While not all ideas will come to fruition, you will constantly be exploring possibilities.Why This Role MattersRive operates at the unique intersection of design, animation, and programming. Most AI tools tend to focus on one aspect. We are seeking someone capable of navigating all three areas and identifying how AI can enhance each discipline without compromising craftsmanship.This role is dedicated and full-time; we firmly believe that AI will revolutionize the creation of interactive experiences, and we want a committed individual leading Rive in this transformation.What You'll DoDevelop innovative AI-driven workflows tailored for designers, animators, and developers within the Rive Editor.Refine the AI agent’s capabilities for writing Rive scripts (Luau), building state machines, and more.

At WilsonAI, we are revolutionizing the legal industry with our innovative product, Cursor, designed specifically for lawyers. Our platform empowers legal teams to review, negotiate, and manage contracts with unmatched speed and precision. Supported by notable investors like Nomad Ventures and Autopilot, we successfully raised a $1.7M pre-seed funding round at the end of 2024.Since our inception, we have stabilized our product with actual customers, outperformed established competitors in rigorous pilot tests, and achieved multi-six-figure revenue growth through founder-led sales. We are on the verge of a transformative opportunity to reshape the trillion-dollar legal sector using AI, and we are assembling a small, elite team to spearhead this change.The RoleWe are seeking a Founding Applied AI Engineer to play a pivotal role in the development of our core product. You will collaborate closely with our CTO to build customer-facing features and robust technical systems. Your responsibilities will include designing, developing, and deploying LLM-powered workflows that legal teams utilize daily. You will troubleshoot system failures, enhance accuracy, and ensure our models operate reliably in production environments.This hands-on position requires you to take full ownership of problems, from understanding customer needs to delivering effective solutions. You must be able to work efficiently in a fast-paced environment, make informed decisions with limited information, and be accountable for results.In return, you will gain invaluable insights into the inner workings of a high-growth AI company, with significant autonomy over critical product components.Your ResponsibilitiesDevelop and refine LLM-driven workflows for contract review, redlining, data extraction, and legal Q&A.Design and implement agent orchestration and multi-step reasoning frameworks.Diagnose and rectify model failures, hallucinations, and edge cases.Engage with customers and product teams to convert real legal challenges into dependable AI solutions.Take ownership of features from inception through production and ongoing iterations.QualificationsProven experience in building production-level LLM workflows or agent-based systems.Strong intuition regarding language model behavior and effective steering techniques.Solid foundation in computer science principles and structured problem-solving capabilities.Adept at reasoning about complex systems and anticipating potential failure modes.Meticulous attention to detail with a commitment to delivering functional solutions.Proactive, quick learner comfortable taking ownership of tasks.

About ArtisanAt Artisan, we are pioneers in creating fully autonomous AI employees – not mere chatbots or copilots, but digital workers capable of performing meaningful tasks.Our flagship product, Ava, is an AI-powered Business Development Representative (BDR) utilized by hundreds of companies. Ava excels at researching leads, crafting and sending emails in clients' unique voices, managing complex outbound sequences, autonomously optimizing her performance, and even addressing objections while scheduling meetings. She is not just a tool; she is a collaborative teammate.As a proud Y Combinator W24 company, we have successfully raised over $35 million in funding and are currently achieving over $8 million in annual recurring revenue (ARR). We are now embarking on the development of Ava 2.0, which will redefine the capabilities of AI employees. The engineering challenges involved are substantial, and the scope of our project is vast.Role OverviewJoin our innovative team as the third Applied AI Engineer at Artisan! You will be instrumental in pushing the boundaries of AI employee capabilities and guiding our product's future direction.Evaluate LLMs: Select optimal models for various tasks while considering cost, latency, reliability, and accuracy.Architect Prompt Frameworks: Design agent behaviors for Ava's essential workflows such as email generation, chat interactions, meeting scheduling, prospect research, and more.Optimize Multi-Step Agent Chains: Implement retrieval-augmented generation (RAG), integrate web searches, and utilize tools like CRMs and APIs.Drive Infrastructure Decisions: Lead choices related to routing, orchestration, evaluation loops, and persistent memory for agents.Build Safety and Trust Mechanisms: Collaborate with the product team to design user guardrails, fail-safes, and success metrics.Explore Emerging Modalities: Investigate and deploy voice AI, talking head technology, and multi-modal reasoning to enhance Ava's human-like interactions.Design Autonomous Agent Workflows: Create workflows that enable strategic decision-making, real-time self-optimization, and measurable outcomes.Location: San Francisco, New York, or Remote USATeam: AIReports to: CPTO, Sam Stallings

Slash Financial develops business banking infrastructure tailored for modern companies. The team blends the dependability of traditional banking with features that help businesses operate more efficiently and stay ahead in their markets. Since its start in 2021, Slash Financial has grown quickly, now processing over $10 billion in annual transactions across various industries. Backed by a recent $100M Series C led by Ribbit Capital and supported by Khosla Ventures, Goodwater Capital, NEA, and Y Combinator, the company is focused on expanding its product offerings and scaling operations. The company values in-person teamwork and maintains a hands-on culture at its San Francisco office. Role overview As an Applied AI Engineer at Slash Financial, you will join Slash AI Labs, a team dedicated to integrating AI throughout the company’s financial platform. This early-stage role shapes the direction of Slash’s AI capabilities, focusing on building production-ready AI systems within a rapidly evolving fintech environment. What you will do Develop and release full-stack AI features, including prompt engineering, agent orchestration, React interfaces, and API integrations. Enhance the agent runtime by improving orchestration, tool execution, MCP servers, graph-driven conversation states, and context compaction. Design agent experiences for web, Slack, and API-based user interactions. Create internal AI tools such as model evaluation frameworks, prompt management systems, and utilities for LLM observability. Work directly with Anthropic and OpenAI APIs, the Vercel AI SDK, and Slash’s custom orchestration layer to address tool-calling and multi-step reasoning challenges. Scale and optimize AI infrastructure, including inference routing, model tiering, prompt caching, and streaming on AWS/EKS. Requirements Experience deploying full-stack AI products in production. Strong understanding of AI technologies and frameworks. Background in orchestration and management of AI models. Ability to design applications that function across multiple platforms and interfaces. Strong problem-solving skills and comfort working in a changing environment. Location This position is based onsite at the San Francisco office.

About KastleKastle is revolutionizing consumer lending with an innovative AI operating system, beginning with mortgages. We collaborate with leading mortgage lenders across America to enhance their contact center and compliance operations through AI-powered voice agents. Supported by Y Combinator, Commerce Ventures, and industry experts from Snapdocs, Google, and WePay, we are reshaping the lending landscape using cutting-edge AI technologies.About the RoleAs a Senior Applied AI Engineer, you will play a vital role in establishing the technical backbone of Kastle's AI platform. Your responsibilities will include fine-tuning large language models, crafting AI workflows for highly regulated enterprises, and ensuring that our voice agents facilitate accurate, compliant, and effective interactions with borrowers.This position is ideal for an engineer who is passionate about applied AI, eager to tackle real-world challenges, and excited to contribute to the foundation of an early-stage AI startup.What You'll DoAI Model Integration: Fine-tune and deploy LLMs for real-time voice interactions with borrowers.Prompt Engineering: Develop and refine prompt strategies to enhance AI performance and compliance.Evaluate LLMs and AI Agents: Create high-quality evaluations using proprietary datasets to benchmark AI agent performance and conduct experiments.Custom AI Solutions: Train and implement domain-specific AI models tailored for consumer lending.Scalability & Compliance: Guarantee that AI solutions adhere to regulatory standards (FDCPA, RESPA, TILA) while scaling efficiently.Data Pipelines & APIs: Construct robust AI-driven workflows that seamlessly integrate with loan servicing platforms.Continuous Optimization: Monitor performance metrics and consistently enhance agent quality and borrower experience.What We're Looking For2+ years of experience in building and deploying ML/AI systems in production environments.Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or similar).Proven track record of delivering AI products that users rely on.Strong product mindset with the capability to translate business requirements into AI solutions.Excellent communication skills for effective collaboration across teams.

Join Perplexity as an Applied Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. You will design, develop, and refine advanced AI models that enhance user experiences globally. Your expertise in machine learning will allow you to create scalable solutions for user personalization, query comprehension, and content discovery, catering to the curiosity of millions.Key ResponsibilitiesUtilize cutting-edge ML and LLM techniques to address challenges in:Personalization (LLM memory, context summarization, retrieval, and ranking);Query Understanding (intent modeling, rewriting, agentic decomposition);Content Discovery (feed ranking and surfacing).Conduct thorough evaluations of LLM/ML models through offline and online methods, designing comprehensive experiments and metrics that yield insights into quality and impact.Manage the full model lifecycle from research to deployment, including data analysis, modeling, evaluation, A/B testing, and iterative enhancements.Collaborate with cross-functional teams, including engineers, PMs, data scientists, and designers, to ensure AI implementations yield significant product enhancements.Stay updated on ML/AI advancements by assessing and integrating new research and algorithms into the product lifecycle.Preferred QualificationsOver 5 years of experience in developing and deploying robust ML/AI models for large-scale, user-centric or data-driven applications.Extensive knowledge in deep learning frameworks (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and ranking.Proficient software engineering skills (Python, production-level codebases, collaborative development).Comprehensive experience across the entire ML lifecycle: data analysis, feature engineering, model development, evaluation, and ongoing monitoring/improvement.Effective collaborator and communicator; thrives in fast-paced, cross-functional environments.Inquisitive, motivated by user/product impact, and passionate about advancing applied ML and AI.Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field (or equivalent experience).

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

Job OverviewJoin our team at Eragon as an Applied AI Intern, where you will play a crucial role in developing and deploying advanced AI systems. Collaborating closely with engineers and researchers, you'll contribute to transforming AI models from theoretical concepts into impactful real-world applications.This internship offers a unique opportunity for hands-on experience across various aspects of modeling, data management, and systems integration, working on projects that directly reach users.Main ResponsibilitiesModel Development: Assist in refining, assessing, and implementing machine learning models to address practical challenges.System Implementation: Collaborate in building and integrating AI-driven features into live production systems.Data & Pipelines: Engage with datasets to facilitate training, evaluation, and iterative improvements.Experimentation: Conduct experiments, analyze outcomes, and enhance model performance through iterative testing.Evaluation & Monitoring: Contribute to the development of evaluation frameworks and assist in monitoring system performance metrics.Cross-Functional Collaboration: Work alongside engineering and product teams to aid in the development of new features.QualificationsEducation: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.Technical Skills: Proficient in Python with familiarity in machine learning frameworks such as PyTorch or TensorFlow.ML Fundamentals: Strong understanding of fundamental machine learning concepts and workflows.Problem-Solving Skills: Demonstrated ability to dissect problems and contribute to effective solutions.Curiosity & Initiative: A keen desire to learn and make meaningful contributions in a fast-paced setting.Preferred QualificationsExperience in machine learning projects, internships, or research roles.Familiarity with large language models, AI agents, or data pipelines.Demonstrated experience in building projects beyond academic coursework.Genuine interest in real-world AI applications.

About Cogent SecurityCogent Security is at the forefront of innovation in cybersecurity, operating as an Applied AI Lab dedicated to developing next-generation AI agents. In an era where cyber threats evolve rapidly, our "AI Taskforce" analyzes vast amounts of enterprise data to proactively address vulnerabilities and prevent significant breaches.Blending cutting-edge research with practical implementation, our team works diligently to transform theoretical concepts into actionable security solutions. Our applied AI lab, Cogent Research, provides essential research capabilities that enable the realization of autonomous security workflows.Since our emergence from stealth mode, Cogent has seen impressive growth, collaborating with Fortune 500 companies to enhance security in some of the world’s most complex environments.Supported by Greylock, we have assembled a team of top-tier talent from influential universities and leading companies in the tech and cybersecurity sectors.

Join Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

Join Fieldguide as the Director of Applied Intelligence and lead our innovative team in harnessing the power of AI technologies to drive exceptional business solutions. You will be at the forefront of transforming data into actionable insights, ensuring our clients achieve their strategic goals.

rillet seeks an Applied AI Engineer based in San Francisco. This role centers on building and refining AI models that address concrete, real-world problems. Collaboration plays a key part, as work often involves teaming up with colleagues from various backgrounds to deliver effective AI solutions. Ongoing analysis and iteration help drive continuous improvement. Key responsibilities Design and implement AI models in partnership with cross-functional teams Analyze datasets to guide model development and optimization Use advanced AI methods to tackle practical challenges Experiment and iterate to enhance model performance over time Location This position is based in San Francisco.

About Distyl AIDistyl AI specializes in developing robust AI systems that enhance core operational processes for Fortune 500 companies. Our strategic alliance with OpenAI, alongside proprietary software accelerators and extensive enterprise AI knowledge, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products cater to a variety of Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will play a vital role in helping companies discover, build, and leverage value from their Generative AI investments, often for the first time. We prioritize a customer-centric approach, focusing on solving real challenges and ensuring both financial impact and enhanced user experiences.Distyl is spearheaded by experienced leaders from top firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former GitHub CEO), Brad Gerstner (Founder and CEO of Altimeter), and board members from numerous Fortune 500 companies.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.