Unconventional AI jobs

AI Theory Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. What We're Looking For - Exceptional technical ability in a quantitative field (e.g., Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline). An MS/PhD or equivalent research/project experience

AI Systems Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, AI Systems, you will develop state-of-the-art architectural components, write their bespoke implementations for our unconventional software framework, and map them efficiently down to the physical silicon. You are critical to preparing our software stack for upcoming tapeouts by acting as the bridge between model architecture and physical compute. What You'll Do - AI Architectural Modeling: Co-design and evaluate next-generation AI models (e.g, transformers, diffusion, flow, and energy-based models). You will collaborate closely across the team to combine, modify, and implement core modeling components, including both conventional (e.g., attention, normalization, Mixture-of-Experts, FFNs) and unconventional components. You will ensure that they function optimally across our novel compute substrates. - Performance Modeling & Scaling: Establish and test scaling laws specific to our novel hardware. Develop rigorous performance models to evaluate compute vs. memory trade-offs - Advanced

AI Hardware Architecture Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. Responsibilities We are seeking exceptional individuals who will help to propose, design, and

AI Systems, Training Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You'll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. Design rigorous benchmarking suites to track Model Flops

AI Silicon, Analog Design Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers with deep understanding of the fundamentals of analog mixed-signal design who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Responsibilities - Design & Architecture: Define, architect, and implement complex analog mixed-signal circuits from specification to GDSII in deep sub-micron CMOS technologies - Core Block Ownership: Take ownership of the full design cycle for critical IP blocks. - Verification & Simulation: Conduct comprehensive pre-layout

AI Silicon, Design Verification Palo Alto, CA I US Remote About Unconventional: Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. Responsibilities: - Verification Strategy & Architecture: Define, architect, and implement comprehensive verification plans and environments for IP blocks and full chip from specification to tape-out. - Methodology and Infrastructure: help build verification infrastructure from ground zero to flexible and nimble environments, able to move quickly and scale for growth. - Testbench Ownership: Take full ownership of the verification lifecycle, including the development and maintenance of scalable testbenches, sophisticated test cases, and robust verification environments. - Advanced Methodology Execution: Deploy industry-standard methodologies (UVM/SystemVerilog) to conduct constrained-random stimulus generation, coverage-driven verification, and assertions. - Cross-Functional Integration: Collaborate closely with digital and analog design teams, as well as software and systems teams, to define verification requirements, debug complex hardware/software interactions, and ensure design integrity. - Analysis & Closure: Perform exhaustive analysis of functional and code coverage. Debug failures at

AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -

System Modeling (Simulation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Dynamic Systems Simulation), you will be part of a hands-on R&D team building simulation frameworks that bridge the gap between SPICE-level physical reality and AI framework-level algorithmic abstraction. You will be part of a hands-on R&D team building custom, high-speed and, high-fidelity behavioral simulators that enable rapid iteration across all layers of unconventional physics-based computing systems. “Extreme co-design” is our guiding principle. We need tools that simulate complex analog and mixed-signal systems millions of times faster than traditional circuit simulators, without losing the critical dynamics that govern system behavior. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all

System Modeling (Computation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Computation), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). You will build tools that

System Modeling (Performance Models) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Performance Models), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Building extensible and composable high-fidelity power, performance and area estimation tools for novel AI acceleration system architectures to

Junior System Modeling Palo Alto, CA I US Remote About Unconventional AI We are rethinking the foundations of the computer to optimize energy efficiency for AI. Founded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. We recently raised $475M in seed funding to turn this vision into reality. As a Junior Member of Technical Staff, System Modeling , you will work closely with senior engineers to contribute to the development of our multi-disciplinary simulation frameworks. You will assist the hands-on R&D team in building simulation environments that enable rapid iteration and testing across all layers of our unconventional physics-based computing systems for machine learning workloads. Your work will focus on integrating physics-based models, developing GPU-accelerated simulations, and supporting the cross-layer system integration necessary for "Extreme co-design". Key Responsibilities - Contribute to the implementation and optimization of GPU-accelerated simulators for ML on analog/unconventional hardware, focusing on specific modules and features within PyTorch. - Assist in integrating physics-based device and system models into the PyTorch simulation environment to help expose early algorithm-hardware tradeoffs and enable cross-layer optimization. - Support the maintenance and extension of the unified end-to-end simulation environment, helping to link theory, algorithms, and device models, and ensuring alignment between high-level and near-physical simulators. - Help implement and adhere to robust experiment tracking protocols to ensure simulation results, configurations, and non-idealities are reproducible

Senior AI Marketing Producer, Media AI Lab San Francisco, CA, USA The Media AI (m.AI) Lab is an AI solutions accelerator for Google, helping marketers see the future and ensure progressive usage of AI. Our mission is to rapidly identify, incubate, and graduate substantive AI tools and operating models that benefit all of Google marketing. As a Senior AI Marketing Producer, you will be a key part of managing Search (product area) creative operations and intake, establishing efficient processes and clarity by translating Product Marketing Manager needs into feasible global creative production plans. You will succeed in changing, team environments and will be comfortable pivoting between multiple projects. Problem-solving comes naturally, and your ability to build consensus and create clarity from ambiguity will be the key to your success. You will be passionate about business transformation, with proven success in navigating the human side of change management as new technologies and ways of working are introduced within a structured organization. You will be a user-centric thinker to communicate topics in a clear manner to influence without authority across levels, functions, and geographies. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium,

Senior Director, AI Innovation USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Sr. Director, AI Innovation, you will define the long-term AI (Artificial Intelligence) vision, drive enterprise-wide transformation through high-impact, high-visibility AI initiatives. Oversee the strategy, development, and execution of breakthrough AI solutions across all business functions while also owning AI upskilling and cultural adoption across the company. Partner closely with executive leadership to ensure AI accelerates growth, enhance productivity, and position Monster as an industry leader in responsible and innovative AI adoption. The impact you'll make: - Define & Lead Monster's AI Vision -- Establish a bold, long-term AI strategy that aligns with enterprise goals, identifying major opportunities to transform revenue, operations, marketing, supply chain, finance, HR, and customer engagement. - Drive High-Impact AI Initiatives (“Big Swings”) -- Lead the conception and delivery of breakthrough AI programs (new platforms, AI-powered experiences, automation - Build & Oversee the Enterprise AI Roadmap

AI Engineer, Agent San Francisco | OnSite MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Your Role As an AI Agent Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work directly with customers, engineers, and AI researchers to design intelligent agents that understand, take action, and deliver real business impact. This role requires a mix of software development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you. You will: - Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. - Work with customers to

AI Solution Architect, YouTube Marketing San Bruno, CA, USA; +1 more As a Solutions Architect focused on AI, you are a builder and a change agent. You will not just map out strategies; you will rapidly prototype, test, and deploy AI-driven solutions that replace manual workflows with intelligent, scalable automation. Operating with a high degree of independence, you will bypass traditional, slow-moving development cycles by utilizing AI-assisted development (vibe coding) and low-code solutions to prove value instantly. You will show the broader organization what is possible and accelerate our adoption of AI-first marketing at scale. In this role, you will bridge the gap between technical potential and marketing execution. If you want to grow in ambiguous, fast-paced environments and are passionate about shaping the future of AI-native operations, this role offers the platform to make a massive, global impact. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $148000 - $216000 (USD) + 15% bonus target + bonus + equity + benefits

AI Researcher Tel Aviv, Tel Aviv District, Israel About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As an AI researcher at Irregular, you'll be at the forefront of researching advanced frontier model capabilities and agent behavior, and help shape the future of AI security evaluation and mitigation. In this role, you will advance the frontier knowledge of AI and agentic frameworks, methods of assessing their ability, and mitigations for dangerous capabilities. Representative projects: - Researching capability elicitation methods to enhance model performance in evaluations. - Researching methodologies to assess generalization and coverage in model capabilities evaluation frameworks. - Contributing to academic publications and delivering research findings to customers. - Creating unique solutions to mitigate scenarios of AI loss of control or misalignment. - Advising and supporting the development of the products we're building. You may be a good fit if you: - Have a strong research experience in machine learning, particularly with frontier AI models. - Can design and implement novel research approaches for emerging AI challenges. - Work well in a multidisciplinary team and can adapt to rapidly evolving research questions. - Have a track record

Product Marketing Lead - Spatial AI San Francisco | OnSite ABOUT THE ROLE As Zensors' first Product Marketing leader, you have the unique opportunity to tell the story of how Physical AI will fundamentally transform the world around us. We are looking for an AI-native marketing visionary who naturally thinks outside the box. From reimagining airport operations to optimizing smart spaces, you will translate complex, cutting-edge technology into a compelling, human-centric narrative. You will own our product positioning and build our product marketing strategy from the ground up. You will act as a market educator, unpacking the "black box" of AI for our buyers, while continuously experimenting with new, unconventional ways to drive awareness. As an early marketing hire, you will act as a core thought leader, directly shaping the go-to-market journey of a pioneering company and delivering an outsized impact on our growth. KEY RESPONSIBILITIES - Storytelling & Positioning: Think completely outside the box to craft and refine product positioning, establishing Zensors as the undisputed market leader in Physical AI. Structure the overarching GTM message and ensure absolute consistency across all communications. - Educate & Evangelize: Act as the premier educator for our target market. Break down complex deep learning and computer vision concepts into accessible, value-driven narratives for B2B buyers. - Agile Experimentation: Continuously hypothesize, launch, and measure experimental marketing campaigns. Use an agile approach to test new channels, content formats, and growth hacks to increase product adoption. - GTM & Product Launches: Work closely alongside the product

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 Machine Learning Engineer, AI Agent Genies San Francisco, San Francisco, California, U.S, Genies LA Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. About the Role: We are seeking a highly motivated and passionate Senior Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Be Doing: - Research and implement state-of-the-art solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures, alongside classical machine learning techniques for a multi-modal AI chat product. - Architect, implement, and deliver scalable AI features and agentic systems

Product Marketing Manager, Applied AI and Industry, Cloud Sunnyvale, CA, USA; +2 more Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end. As a Product Marketing Manager (PMM) for Applied AI, you will support the Go-to-Market (GTM) activities for specific AI product features. You will be a detail-oriented marketer who ensures that our product launches happen on time and that our business and marketing teams have the collateral they need to win. You will translate technical features into clear benefits and act as the connective tissue between the product development and business execution phases. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making

Applied AI Engineer San Francisco | OnSite We're inventing the future of B2B SaaS with AI agents. We're betting on language models and we're betting on scale. You'll test new models the day they come out and understand their characteristics better than their developers do. You'll manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models. You'll work directly with customers every day and have unusual influence over operations and policy-making at the world's biggest companies. Responsibilities - Turn language models into useful, functional, and beautiful products. - Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.) - Architect and implement workflows that power SafetyKit's risk AI agents - Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases - Use codegen models to move 10x faster than you did two years ago About you - You love language models. - You have the patience to be rigorous. - You act like an owner in everything you do. - People tell you you pick things up unusually quickly. - You love the weird little details of life in our customer's companies. - You care about your work and you care about moving fast. A lot. - You know more than you need to know. You have an insatiable curiosity.

Senior/Staff AI Algorithms Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role We're looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization-and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Unconventional Production Engineer Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. About the Permian Straddling West Texas and Southeastern New Mexico, the Permian is the most prolific oil and gas basin in America and the engine behind the country's energy renaissance. Nationally, it provides about 40% of oil and 15% of gas production and plays a critical role in making the U.S. a leading energy exporter. The merger of ExxonMobil and Pioneer creates an Unconventional business with the largest, high-return development potential in the Permian Basin. The combined company's more than 1.4 million net acres in the Delaware and Midland basins have an estimated 16 billion barrels of oil equivalent resource. In 2023, we produced, on average 612,000 barrels