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- posted 71 days ago
Why we showed this
Role: semantic matchRemote From the posting source Finance From the posting source - Director Plus From the posting source Salary not disclosedDirector, Tax 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 work
- posted 195 days ago
Why we showed this
Description: "deepmind"Data Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking an experienced Data Engineer to own the data foundations that power real-world AI evaluation. In this role, you will design and build the analytics-layer data models, pipelines, and metrics that turn raw user activity and votes into trusted insights for the public,
- posted 69 days ago
Why we showed this
Description: "deepmind"Onsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosedSoftware Engineer San Francisco | OnSite WHO WE ARE Cognition is an applied AI lab building end-to-end software agents. We are behind Devin, the first AI software engineer, and Windsurf, an AI-native IDE. Our vision is AI that works alongside engineers as a genuine teammate, not a tool. We are a small, talent-dense team of competitive programmers, former founders, and researchers from Scale AI, Palantir, Cursor, Google DeepMind, and others. ROLE MISSION Software Engineers at Cognition are not feature builders. You will be working on some of the hardest open problems in applied AI: how do you build an agent that can reason across thousands of lines of code, spawn and coordinate subagents, use tools reliably across ambiguous long-horizon tasks, and do all of this in a way that a real engineer would trust? You will ship systems that go directly into Devin and Windsurf, two products that millions of developers use to write, debug, and ship code. This is a role for engineers who want to be close to the frontier, who can move fast without cutting corners, and who believe the next 5 years of software engineering will look fundamentally different from the last 5. WHAT YOU'LL ACCOMPLISH - Build core agent infrastructure: Design and ship the systems that power Devin's long-horizon task execution: tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution environments. - Improve Windsurf as an AI-native IDE: Contribute to editor intelligence, agent-in-the-loop workflows, real-time code understanding, and the developer experience that
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Solution Architect - Voice
DeepL - Austin, Texas, United States, San Francisco, New YorkIndexed from Ashbyposted 88 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Staff Plus From the posting source Salary not disclosed Inferred from posting Mental health supportSolution Architect - Voice Austin, Texas, United States, San Francisco, New York 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
- posted 69 days ago
Why we showed this
Description: "deepmind"Onsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosedDeployed Engineer - APAC Tokyo | OnSite 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 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. You'll lead all technical aspects of our pre-sales process, designing compelling product demos, executing pilots, and working closely with engineering organizations to identify and delegate the right use cases to Devin. Beyond initial engagement, you'll design and deliver ongoing training programs and enablement resources to help customers roll out Devin to thousands of engineers. You'll be successful in this role if you have a technical background - either studied computer science or have extensive experience leading highly technical sales engagements - and if you love building, and if you embody the drive and grit
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Associate General Counsel, Commercial & IP
Arena - Bay Area, California, United StatesIndexed from Ashbyposted 152 days agoWhy we showed this
Description: "deepmind"Unspecified Legal From the posting source - Director Plus From the posting source Salary not disclosed EquityAssociate General Counsel, Commercial & IP Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Come join our legal team to work on the most exciting commercial, intellectual property, and operational issues at the leading edge of AI. We're seeking a strong, business-minded lawyer with deep expertise in both commercial contracting and intellectual property law. As Associate
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Senior Deep Learning Researcher, LLM Inference
NVIDIA Corporation - Israel, Tel AvivIndexed from Workday Benefit evidence checked Jun 13, 2026posted 97 days agoWhy we showed this
Role: semantic matchUnspecified Design From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Deep Learning Researcher, LLM Inference Israel, Tel Aviv posted: Posted 30 Days Ago
- posted 69 days ago
Why we showed this
Description: "deepmind"Onsite - 5d office From the posting source Operations From the posting source - Senior From the posting source Salary not disclosedStrategic Projects Lead San Francisco | OnSite ABOUT AFTERQUERY AfterQuery https://www.afterquery.com/ is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI and are based in San Francisco. WHAT YOU WILL OWN Project and client management: Work with the world's leading AI organizations to build next-generation data solutions that push the limits of model capability, while directly driving revenue. Manage expert teams across domains: Lead and coordinate highly specialized contributors across fields like finance, software engineering, law, and more to create high-quality outputs at scale. Shape how AI systems are trained: Design dataset specifications that directly influence how frontier models are evaluated and improved. Your taste and judgement will shape what foundation models become. Drive high-impact execution end-to-end: Own critical projects from
- posted 180 days ago
Why we showed this
Description: "deepmind"Technical Partnerships 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 Technical Partnerships Manager to own, develop, and scale strategic technology partnerships that expand the reach and impact of NEXUS. This role sits at the intersection of business development and technical strategy - you will be responsible for building deep, mutually beneficial relationships with cloud providers (AWS), data platforms, infrastructure software companies, and marketplace partners. You will act as the connective tissue between our partners' technical and business teams and Fundamental's product, engineering, and go-to-market organizations - ensuring seamless integrations, joint solutions, and co-sell motions that drive adoption and revenue for both sides. This is a high-visibility role with direct impact on Fundamental's growth trajectory and how enterprises discover, deploy, and scale NEXUS across their data infrastructure. Key responsibilities - Own and
- posted 69 days ago
Why we showed this
Description: "deepmind"Onsite - 5d office From the posting source Operations From the posting source - Senior From the posting source Salary not disclosedStrategic Projects Lead - Coding San Francisco | OnSite ABOUT AFTERQUERY AfterQuery https://www.afterquery.com/ is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI and are based in San Francisco. WHAT YOU WILL OWN Project and client management: Work with the world's leading AI organizations to build next-generation data solutions that push the limits of model capability, while directly driving revenue. Manage expert teams across domains: Lead and coordinate highly specialized contributors across fields like software engineering, data science, and machine learning. Shape how AI systems are trained: Design dataset specifications that directly influence how frontier models are evaluated and improved. Your taste and judgement will shape what foundation models become. Drive high-impact execution end-to-end: Own critical projects from idea to delivery.
- posted 71 days ago
Why we showed this
Role: semantic matchRemote From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosedEngineering Manager, Engine Team 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
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Senior Deep Learning Researcher, Diffusion
NVIDIA Corporation - Israel, Tel AvivIndexed from Workday Benefit evidence checked Jun 13, 2026posted 98 days agoWhy we showed this
Role: semantic matchUnspecified Design From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Deep Learning Researcher, Diffusion Israel, Tel Aviv posted: Posted 30+ Days Ago
- posted 131 days ago
Why we showed this
Description: "deepmind"Model Serving Engineer Europe, 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 Our Serving team is responsible for turning NEXUS, our Large Tabular Model, into a reliable and scalable production system. We own the infrastructure and execution stack that serves the model across multiple deployment environments, each with different requirements around scale, isolation, performance, and trust. The team sits at the intersection of research and production engineering. We work closely with researchers to bring new model architectures into production, while building the systems needed to operate them efficiently and predictably under real-world workloads. Tabular foundation models introduce serving challenges that differ meaningfully from traditional LLM inference, including irregular computational behavior and complex resource tradeoffs across CPU, GPU, memory, and networking. As a Model Serving Engineer, you'll work across the full inference stack - from Python runtime performance and concurrency behavior
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Senior Algorithm Developer – Deep Learning
KLA Corporation - Yavne, IsraelIndexed from Workday Benefit evidence checked Jun 13, 2026posted 98 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Algorithm Developer – Deep Learning Yavne, Israel posted: Posted 30+ Days Ago
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Technical Product Marketing Manager (TPMM)
Goodfire - San Francisco, CAIndexed from Greenhouse Comp disclosed in postingposted 277 days agoWhy we showed this
Description: "deepmind"Unspecified Marketing From the posting source - Mid From the posting source $175K-$300K From the posting source EquityTechnical Product Marketing Manager (TPMM) San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for a Technical Product Marketing Manager to help explain what Goodfire makes possible to the AI researchers, ML engineers, technical executives, and frontier model builders who need to understand, evaluate, and improve the systems they are building. This role demands a rare combination: the technical depth to understand interpretability and modern AI workflows, the
- posted 243 days ago
Why we showed this
Description: "deepmind"Machine Learning Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You'll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the
- posted 357 days ago
Why we showed this
Role: semantic matchUnspecified Customer Success From the posting source - Senior From the posting source Salary not disclosedSenior Manager - Customer Support 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
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Senior Product Manager, Enterprise
Counsel Health - New York Office (Flatiron), New York City, New York, United StatesIndexed from Ashbyposted 83 days agoWhy we showed this
Description: "deepmind"Unspecified Product From the posting source - Senior From the posting source Salary not disclosed Inferred from posting Unlimited PTO EquitySenior Product Manager, Enterprise 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 We have formed partnerships with leading healthcare organizations and are scaling fast. We need a Senior Product Manager, Enterprise to own how Counsel's product shows up inside the world's leading healthcare organizations - and to build the consumer experiences that make those partnerships actually work. Your role is to not just make Counsel bigger one partnership at a time, but make Counsel better for everyone. This role is equal
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Staff Software Engineer, AI/ML GenAI, Google Workspace
Google - New York, NY, USAIndexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in postingposted 70 days agoWhy we showed this
Description: "deepmind"Unspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource $207K-$301K From the posting source Equity Inferred from posting 401(k) reportedStaff Software Engineer, AI/ML GenAI, Google Workspace New York, NY, 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. AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact
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Deep Learning Performance Software Engineer
NVIDIA Corporation - China, ShanghaiIndexed from Workday Benefit evidence checked Jun 13, 2026posted 77 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedDeep Learning Performance Software Engineer China, Shanghai posted: Posted 10 Days Ago
- posted 111 days ago
Why we showed this
Description: "deepmind"Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed EquityAssistant Controller Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role As Assistant Controller, you'll build our accounting function from the ground up - the systems, controls, and infrastructure that support our next phase of growth. This is a rare opportunity to be the first dedicated accounting hire at a company whose customers include the world's top
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Technical Program Manager, GenAI Workspace Safety and Security
Google - Sunnyvale, CA, USA; +1 moreIndexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in postingposted 73 days agoWhy we showed this
Description: "deepmind"Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource $163K-$237K From the posting source Equity Inferred from posting 401(k) reportedTechnical Program Manager, GenAI Workspace Safety and Security Sunnyvale, CA, USA; +1 more 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 the Technical Program Manager for GenAI safety and abuse, you will drive the definition and execution of critical OKRs, translating strategic goals like self-service onboarding and defense improvements into scalable operations. AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. Individual pay is determined
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Software Engineer - Deepgram for Restaurants
Deepgram - San Francisco, CA | Hybrid | RemoteIndexed from Ashbyposted 71 days agoWhy we showed this
Role: semantic matchHybrid - 2d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosedSoftware Engineer - Deepgram for Restaurants San Francisco, CA | Hybrid | 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
- posted 69 days ago
Why we showed this
Description: "deepmind"Onsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosedDeveloper Community Manager San Francisco | OnSite WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. 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 Devin is reshaping how developers work, and we want to build a community around that transformation. As our Developer Community Manager, you'll be the connective tissue between Cognition and the broader developer ecosystem: running events, cultivating ambassadors, and bringing Devin to universities and developer communities worldwide. This isn't a traditional community manager role. We're looking for someone with genuine technical depth, ideally a developer or engineer by background, who can speak credibly to software engineers, demo Devin and Windsurf in real workflows, and design programs that resonate with a deeply technical audience. You'll own the strategy and execution of our
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