Moonshot AI jobs

Senior Forward Deployed Engineer, Applied AI US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. Where Data Does More. Join the Snowflake team. At Snowflake, we are building a high-impact team to help the world's most innovative companies unlock the power of AI. As a Senior Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2-4 engineers while staying

Business Development Representative Japan (Tokyo) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership The Account Development Representative (ADR) drives pipeline growth by identifying, engaging, and qualifying leads. This role is one of the first touchpoints for prospects, and it has the opportunity to set the tone for the sales cycle that follows.You will possess expertise in understanding the unique challenges faced by clients in the manufacturing sector, and your role is crucial in initiating relationships with potential customers. A significant part of your job will involve following up with inbound leads promptly, ensuring that no opportunities are missed. You will also attend events, manage event leads, and conduct outreach to nurture these relationships through the sales funnel. Working closely with the sales team and marketing, your proactive approach will

Lead Software Engineer, Agentic AI Systems Lehi, UT | Plano, TX At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems. The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini. What you will do: - Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications. - Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents. - Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding - Data & Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQueryUnderstand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems. - Design and implement Stateful

VP People Business Partner (HRBP) USA (Phoenix) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. This role is based in Phoenix, Arizona, as part of Cognite's Headquarters. How you'll demonstrate Ownership About the role The VP People Business Partner for Global Product & Engineering will play a critical role in driving Cognite's success as a trusted strategic advisor to the leadership teams of our Product Division. With an emphasis on scalability and maturing leadership capabilities, this role requires a high degree of business acumen, an understanding of complex change management, and the ability to build leadership capability across a fast-scaling global organization. You will work closely with senior leaders to build a cohesive talent strategy that aligns with Cognite's long-term business objectives. Tasks & responsibilities Strategic Partnership & Leadership Development - Serve as

RISC-V AI / HPC & Agentic Software Engineering Lead North America Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware-software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent's RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent's LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack - including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of North America. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level,

Director of Revenue Analytics USA (Boston); USA (Houston); USA (Phoenix) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Director of Revenue Analytics, you will own selected global revenue operations processes and work closely with regional presidents to identify areas of stagnation and design targeted processes to address them. You will architect and scale the global engine that powers our "Land-Expand-Scale" model, ensuring every dollar of potential industrial value is identified, forecasted, and captured through AI-driven precision and operational excellence. What You'll Do - AI-driven forecasting and pipeline health - Partner with Regional Presidents to architect the next-generation forecasting cadence, leveraging predictive AI tools (e.g., Clari, Claude, Gemini) to model rolling, real-time revenue scenarios. - Translate complex, AI-scored deal data into high-conviction, executive-level narratives that proactively highlight market

Agentic AI Leader Mumbai, Maharashtra, India posted: Posted 30+ Days Ago

Senior IT Infrastructure Engineer (Cloud Infrastructure Eng) India (Bengaluru) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership About the role As Senior IT Infrastructure Engineer at Cognite, you will be a key member of the IT team, delivering IT infrastructure engineering across platform configuration, automation, and system integrations. Working closely with the global IT Infrastructure hub in Norway, you will support and execute on the infrastructure roadmap to help deliver scalable, reliable, and secure systems that support Cognite's ~1,000-person workforce. You will work in an AI-first environment where automation, smart tooling, and continuous improvement are core to how the team operates. The Impact you bring to Cognite Responsibilities - Configure and optimize IT infrastructure platforms across cloud environments (GCP and Azure), contributing to architectural and configuration decisions in line

AI System Research and Development Engineer - Optimization US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems. Recent releases from our team include SwiftKV , an advanced inference optimization, and Arctic LLM , one of the largest open-source MoE foundation models. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of deep learning systems and drive cutting-edge innovations in AI. Responsibilities: - Analyze and optimize GPU kernel performance for training and inference of LLMs. - Develop and

Senior Principal Architect India (Bengaluru) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership The Office of the CTO is responsible for the architecture of Cognite Data Fusion, and ensuring it has a robust and scalable platform for solving industrial data problems for our customers. We are looking for a highly skilled and motivated software architect that can lead the design, development, and evolution of our data integration architecture. The architecture covers data ingestion, staging, transformation, contextualization and data pipeline orchestration. There is a large opportunity to make a step change in this area using generative AI. As a principal architect you will be responsible for the technical design of our foundational services and technology choices. These designs and choices must give Cognite a long term competitive advantage by allowing

Principal UX Designer, Prime Video Experience Design (PVXD) San Francisco, California, USA Are you interested in shaping the future of entertainment? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is changing the way people watch movies and TV. From one service, we're delivering versatile ways to watch hundreds of thousands of movies, TV series, and live events on the web, mobile, and TV. Our service is available in more than 200 territories globally, and we're just getting started. Prime Video is seeking a Principal UX Designer for an experimental, forward-thinking design lab exploring the frontier of generative AI, conversational experiences, and emergent entertainment technologies. This is not a traditional design role; it's a creative partnership at the edge of what's possible. You'll be pushing the boundaries of what Prime Video can become in an AI-first world. You'll hypothesize bold experiences - from conversations with AI characters inspired by entertainment properties to generative video and dynamic, personalized content - and bring them to life through rapid prototyping and iterative experimentation. This role sits at the intersection of moonshot thinking and hands-on craft. You'll be equally comfortable sketching a conversation flow with an LLM-powered character as you are pulling emerging generative tools (Runway, Luma AI, generative imagery platforms) into the product vision. You'll think metamorphically - not anchored to what Prime Video is today, but what it could become tomorrow. Key job responsibilities Frontier Design & Experimentation: * Design end-to-end experiences at

Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them

AI Engineer San Francisco, California, United States About the role You'll own the core AI systems that power Gamma: the models, prompts, and pipelines behind text, image, and layout generation. With over 1 million AI-generated presentations and 6 million AI images created every day, this work operates at massive scale. Your job is to elevate quality, evaluate new frontier models, and push into new capabilities and modalities. This role is about productizing existing foundation models, not training new ones. You'll focus on prompting, evaluating, and fine-tuning for maximum performance across Gamma's product surface. You'll also launch new modalities like voice and video, build the evaluation infrastructure to measure what "good" looks like, and own uptime, latency, and cost across our AI stack. You'll work closely with engineering and product to ship improvements that millions of users feel immediately. You'll thrive here if you're a tinkerer who loves pushing foundation models to their limits and you're equally comfortable writing prompts and writing production code. If you get excited about mixing prompt engineering with software engineering to unlock new AI capabilities, this is your role. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do - Own Gamma's LLM and image prompts, measuring and continuously improving quality at scale across text, layout, and visual generation - Develop complex prompts for new features

Principal Field Engineer England, United Kingdom What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. - How you'll demonstrate Ownership The Project Manager doesn't just manage tasks; they own the outcome. You are the single point of accountability for leading high-priority, industrial AI implementation projects from contract signing through successful deployment and value realization. - Your mandate is to guarantee that every project aligns perfectly with our customer's strategic priorities and delivers measurable business impact. - Own end-to-end project delivery from kickoff to closure, including scope, budget, quality, and customer outcomes, ensuring project success and financial performance. - Translate use case objectives into quantifiable business KPIs and lead Value Realization Workshops to establish baselines and demonstrate impact. - Develop detailed project plans covering scope, schedule, resources, budget, risks, and quality, proactively managing dependencies and

Senior AI Operations (AI Ops) Engineer Palo Alto, CA At Navan, we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture , a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava , our AI support engine, and a suite of cutting-edge generative tools for travel and expense management. As a Senior AI Operations (AI Ops) Engineer , you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency. What You'll Do Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores. High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency. Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization. Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user. Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.

Biology/Biochemistry Intern (Spring/Summer 2026) Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. We're looking for talented young applied physicists, engineers, and materials scientists who want to do more with their internship than design a better genmoji. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. We're looking for talented young applied physicists, engineers, and materials scientists who want to do more

Head of AI Platform Engineering San Francisco, California, United States Who Are We? Postman is the world's leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration-enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As the Head of AI Platform Engineering at Postman, you will lead the alignment of AI development with our growing API platform. You will drive the AI roadmap with a focus on expanding AI-driven API collaboration and agentic capabilities across the platform. This role requires a leader who can identify market opportunities, coordinate cross-functional AI initiatives, and foster strong partnerships to amplify the Postman AI platform's impact What You'll Do - Lead the development and execution of Postman's AI platform strategy, focused on API ecosystem growth and platform innovation. - Drive the AI roadmap, concentrating on API integration, platform expansion, and AI-driven agent functionality. - Identify and capitalize

Member of Technical Staff Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As an integration engineer at Until, you'll be working across teams to deliver next-gen perfusion, cooling, and rewarming systems. Successfully owning the deployment of these systems will require you to autonomously work across hardware/software stacks and work closely with scientists across the company. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for

Member of Technical Staff, Production London, United Kingdom Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Member of Technical Staff focused on Production Engineering, you will build the platform that powers Ash at scale. You'll work across voice and AI stacks, internal services, and the data systems around them, improving observability, deployment, and platform tooling to scale reliably. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders who care deeply about the quality of

Research Assistant, Materials Chemistry (Nanoparticles) Bay Area About the Company: Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. We're hiring an experienced, full-time Research Associate to support nanomaterials synthesis, characterization, and implementation. You will work directly with our scientific team to create novel materials, ensure their reproducible synthesis and characterization, and help scale to a manufacturable product. About the Company: Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely

Senior Generative AI Engineer Paris, France We're a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We're looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. Prototype and see what works well in the real world, iterate closely with our users, and then ship. Follow the latest research on LLM prompting, agents, and code editing. Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. Who You Are: You're a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You've shipped software that uses LLMs to production. You are passionate about Generative AI and its ability to help software engineers be more productive. You have

Senior Lab Operations Manager Bay Area About Until Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. Role Description We are seeking a Senior Lab Operations Lead to own the day-to-day management and scaling of Until Labs' research facilities. This role is responsible for ensuring that a large, technically complex laboratory environment operates with high reliability, safety, and throughput. As Until Labs grows, this role will also play a key role in operationalizing expanded lab facilities, including helping stand up and scale into a new space, ensuring continuity of research and readiness for large-animal and GLP-adjacent work. About Until Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we

Senior AI Engineer Novato, California, United States Cloud Chamber is seeking a Senior AI Engineer to join our talented development team to further push the development of the AI Systems and AI Archetype for BioShock 4. We have high ambitions for tying AI and storytelling together in our project. It will be your responsibility to crystallize that ambition, helping to support several AI systems, and bring several AI Archetypes to life. In this role, you'll collaborate with an engaged team to push the state of the art and experiment with unproven ideas. We are attempting new and ambitious things with AI in this game. You are bold, brave, and believe in an iterative, experimental approach to game development, moving comfortably between design and engineering, collaborating and communicating ambition and limitations. What You'll Do: - Collaborate with the team to: - Iterate and polish existing AI Systems and Archetypes. - Bring new Archetypes into existence. - Take confident ownership over the architecture and implementation within the systems of your domain. - Work on implementation and maintenance of AI behavior tree and associated systems. - Focus and help plan for ensuring all of our AI Systems and Archetypes operate performantly and within memory budgets. - Improve design-facing tools for authoring and scripting combat encounters. - Create and maintain technical documentations. - Review the work of other engineers and share expertise in your area of knowledge. What We'll Do Together: You will work closely with our Design, Animation, Audio, VFX, and Art departments

Materials Science Intern (Spring/Summer 2026) Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. We're looking for talented young applied physicists, engineers, and materials scientists who want to do more with their internship than design a better genmoji. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. We're looking for talented young applied physicists, engineers, and materials scientists who want to do