Deepmind jobs

Enterprise Account Manager San Francisco, United States About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. About the role We are looking for an experienced Enterprise Account Manager to own and expand relationships with Fortune 100 customers. This role is focused on complex, multi-stakeholder enterprise deals, long sales cycles, and high-value strategic partnerships. You will act as the quarterback for key accounts, partnering closely with the C-suite, product, and engineering teams to drive adoption, expansion, and long-term value. This is a high-impact role with direct visibility into executive leadership and customers. Key responsibilities - Own a portfolio of strategic enterprise accounts, primarily Fortune 100 companies - Serve as the primary point of contact for senior stakeholders (VP, SVP, C-suite) - Build long-term trusted relationships focused on business outcomes - Manage long, complex sales cycles with procurement, legal, security, and IT - Navigate enterprise buying processes and

AI Anime Researcher - Motion Generation Models San Francisco or Tokyo tl;dr: We're building a 3D first-person adventure game where an AI companion is the core of the game. Think MiSide https://store.steampowered.com/app/2527500/MiSide/ with LLMs, but truly integrated with gameplay, not just a RP chatbot. ABOUT US Here at Spellbrush, we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio-we're the team behind niji・journey https://nijijourney.com/. Our mission is simple: use AI to bring characters to life and push the boundaries of narrative-driven games. What We're Building We've developed an in-house LLM storytelling system that blends AI, story, and gameplay-going far beyond shallow “chat-only” experiences. The result is an AI companion who cooperates with you in puzzles, remembers across worlds, and changes how each chapter unfolds. [https://app.ashbyhq.com/api/images/user-content/89c1442c-bd9c-46be-a910-20b49b5d9ffc/bc53bc2c-874c-41d1-9cb6-e53b0e40720e/IMG_3723.png] [https://app.ashbyhq.com/api/images/user-content/89c1442c-bd9c-46be-a910-20b49b5d9ffc/4eb88211-27a0-422d-8294-6660e04ba96c/IMG_3724.png] In-game screenshots (development build) ABOUT THE ROLE You will join a small but extremely talented team to define a new kind of video game experience. You'll work alongside top otaku minds in the industry, including the creator of Warudo https://warudo.app/ and Cytoid https://cytoid.io/, a Google Deepmind veteran behind Project Astra https://www.youtube.com/watch?v=JcDBFAm9PPI, and top-tier AI researchers. As an early member of this team, you will have significant artistic and research freedom to shape what could become the next-generation LLM-driven storytelling experience. WHY YOU'LL LOVE WORKING WITH US Impact and Ownership: As an early team member, you'll have the opportunity to

Director, Technical Accounting & Financial Reporting USA | Remote | Remote COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can

Senior Solutions Architect - Voice Tokyo, Kanto, Japan Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part

President of Government Strategy & Partnerships Remote, United States About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. About Brain Co. & Government Strategy Government services touch every part of daily life, but the systems behind them are often slow, frustrating, and decades out of date. A permit that should take days takes months. A license renewal that could be instant requires stacks of paper and weeks of waiting. Brain Co. is changing that. We build AI software

Technical Lead, Native Commerce Integrations Mountain View, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are building the foundational protocol and API layer that allows AI agents to interact directly with commerce back ends. We were featured during Google's 2026 I/O Keynote . Our responsibilities include: Protocol Design: Defining the standard schema and handshake mechanisms for agent-to-merchant interactions (discovery, cart, checkout). AI Commerce Experiences: Developing the end-to-end commerce journeys on AIM, Gemini , and other agentic Google surfaces. We build these over UCP in close collaboration with teams across Search, DeepMind, and other key Google organizations. Native Integrations: Building the reference implementations and connectors that bridge first-party commerce systems with external and Google agent ecosystems. Trust and

Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving 2 Locations posted: Posted 30+ Days Ago

Deep Learning Architect, AWS Gen AI Innovation Center Sao Paulo, Sao Paulo, BRA 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 • 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 in implementation of generative AI solutions,

Account Manager, Enterprise New York City | OnSite | San Francisco | Austin, Texas ACCOUNT MANAGER, ENTERPRISE We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE As an Enterprise Account Manager, you will own and grow a portfolio of Cognition's enterprise customer relationships. You'll be responsible for driving usage across new use cases and business units, and ensuring customers realize maximum value from Cognition's suite of engineering products - Devin, Windsurf, Review, and more. You will operate as an embedded member of the enterprise sales team, working closely with leadership, engineering, and product teams to deliver exceptional customer outcomes. You'll manage a book of enterprise accounts and own a revenue number driven by renewals and expansion. Success in this role requires building deep, trusted relationships with technical stakeholders, understanding their evolving needs, and positioning Cognition's suite

Forward Deployed Engineer, Applied AI, Google Cloud Madrid, Spain; +1 more As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. In this role, you will focus on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. In this role, you will require an understanding of software engineering, machine learning operations, and cloud infrastructure.It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Spain: €120000 - €123000 (EUR) + 20% bonus target + equity + benefits Netherlands: €160000 - €164000 (EUR) + 20% bonus target +

Principal AI Engineer - Advanced AI (Machine Learning, Python, Deep Learning) 7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 posted: Posted 11 Days Ago

Senior Technical Program Manager, Responsible AI Testing and Child Safety, Global Affairs Mountain View, CA, USA A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As a Technical Program Manager for Google's Child Safety Cross-functional AI, you will be part of a global team that drives solutions for industry-leading responsible AI applications. Your role will sit in the Child Safety Responsible AI testing team, but will be launch agnostic and will be responsible for the end-to-end lifecycle of GenAI safety initiatives focused on preventing child sexual abuse and exploitation. You will work closely with colleagues in teams including DeepMind, Trust and Safety, SafeSearch, Core Engineering and Legal. You will take the lead in standing up new programs and processes, defining metrics and driving cross-company alignments. The aim is to design and develop solutions that will protect Google's products and keep all users, including our most vulnerable users, safe. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's

Senior Machine Learning Research Engineer San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About this role As a ML Research Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems

Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference Cupertino, United States of America The Intelligence Platform team empowers clients across Apple's operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these models and continue the development of our inference stack. By contributing to our team, you'll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms. Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our Intelligence Platform. As a Machine Learning Engineer on the Apple Intelligence Platform Inference Tean, you'll join a phenomenal team of top-performing engineers and and will be entrusted with a range of responsibilities. Your tasks will include: Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields. Translating the latest research into high-performing systems and a model serving stack that can be practically applied to enhance user experiences. Contribute

Technical Account Manager San Francisco, CA Remote About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur. To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world. We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from: Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase World class cybersecurity experts from Wiz, Abnormal AI, Zscaler Preeminent research labs like Deepmind and SAIL About the Role As a Technical Account Manager focused on customer deployment, you'll own the technical success of new customers from kickoff through initial production rollout and early expansion. You'll be the person customers call when they need to understand how Cogent fits into their stack, unblock an integration, or get executive buy-in for a broader rollout. You'll partner closely with Sales, Product, Engineering, and Support

Infrastructure Engineer (Backend) New York Office (Flatiron), New York City, New York, United States About Counsel Counsel's mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we're building the first fully-vertical, AI-native medical group from the ground up. We've redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [ learn more on our blog ] Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms. Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) - and we're looking for exceptional people to join us as we scale. Join us as we build the future of AI in healthcare! ----------------------------------------------------- About the role At Counsel Health, we've built a product that patients and physicians love on a fast-moving stack. As we scale, the surface area between "application code" and "infrastructure" is growing - and we need someone who lives at that intersection. We are looking for a Backend Infrastructure Engineer who is equal parts software engineer and infrastructure engineer. You won't be sitting in a silo writing Terraform all day, and you won't

Build Your Role New York City, New York, United States About Deeptune Deeptune builds training gyms for AI agents: high-fidelity simulation environments where AI learns to do real work through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion. We're a ~20-person team of engineers and operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, based in-person in New York City. We recently raised a $43M Series A led by Andreessen Horowitz, with participation from 776, Abstract Ventures, and Inspired Capital. If you want to work on the hardest problems at the intersection of reinforcement learning and real-world AI deployment, we'd love to hear from you. Read more: Fortune exclusive on our Series A | a16z: Why we're investing in Deeptune Why this posting exists We're growing the team significantly this year, and not every role we plan to hire for is live yet. If you're excited about what we're building and think you'd be a strong addition to the team, we want to hear from you. Whether your background is in engineering, operations, finance, or something else entirely, submit an application and tell us what role you think you should be considered for! We'll review every submission and reach out when there's a fit. What we look for across the board You've built something meaningful, whether that's a company, a

Applied AI Transformation Manager San Francisco | OnSite | New York City WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of

Sales Development Representative USA | Remote | Remote COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day

Software Engineer II- AI/ML, AWS Neuron Seattle, Washington, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Training Enablement and Foundation team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of

Deployed Engineer - Europe London | Hybrid | Remote WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE At Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin/Windsurf. You'll work directly with engineers to understand their workflows, identify high-impact use cases, and deploy Devin/Windsurf into real production environments. You'll lead demos and pilots, support integrations, and drive adoption of the Cognition platform from the inside out. This role combines hands-on technical work, customer partnership, and rapid execution. You'll serve a broad range of clients, switching context frequently and staying ahead of issues before they become blockers. You're expected to be proactive, make judgment calls, and take ownership of outcomes. In

Machine Learning Engineer Intern South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: - Evidence in delivering high-impact projects either in academia or industry - Prior experience designing and building Machine Learning models - Deep understanding of machine learning concepts and fundamentals - Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way

Senior Product Manager, Consumer New York Office (Flatiron), New York City, New York, United States About Counsel Counsel's mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we're building the first fully-vertical, AI-native medical group from the ground up. We've redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [ learn more on our blog ] Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms. Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) - and we're looking for exceptional people to join us as we scale. Join us as we build the future of AI in healthcare! ----------------------------------------------------- The Mission At Counsel, we believe everyone should have an expert physician in their pocket. We have built the foundation-medical record integrations, doctor-led AI, and immediate clinical access. Now, we need a Senior Senior Product Manager, Consumer to turn that foundation into a daily habit for millions. You will own the "Day 0 to Day 30" experience, ensuring every user who discovers Counsel doesn't just "try" it, but realizes it is the

Software Engineer III, Core ML Performance Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are the Core ML Frameworks team, responsible for large parts of Google's production ML stack. We collaborate closely with Google DeepMind and other teams across Alphabet to build solutions that power the future of AI, both within the company and across the industry via GCP. Join Core ML and make a significant impact on Alphabet's vast ML infrastructure, addressing technical challenges that directly impact the performance, efficiency and scalability of AI across Google. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more