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  • Member of Technical Staff (Frontend)

    Anterior - New York, New York City, United States
    Indexed from Ashby
    posted 139 days ago

    Why we showed this

    Description: "deepmind"
    Unspecified Engineering From the posting source - Staff Plus From the posting source Salary not disclosed Equity

    Member of Technical Staff (Frontend) New York, New York City, United States About Anterior Anterior is on a mission to transform healthcare administration, making it seamless and invisible so clinicians can focus on delivering care. We've built an AI-powered platform designed by clinicians, for clinicians, to simplify administrative workflows and improve patient outcomes. By combining clinical expertise with cutting-edge technology, we're revolutionizing healthcare operations with responsible AI. We're growing rapidly and are backed by world-class investors including Sequoia, New Enterprise Associates (NEA), and Neo along with notable angels including the founders of DeepMind, Google AI, and Inflection AI. Anterior is improving the experience of healthcare for everyone. We're working on the cutting edge of using technology to make clinical decision-making frictionless. We're building exciting tech for huge customers and we trust in the foundations: keep it simple, build strong foundations, and the rest will follow. The Team At Anterior, engineers share a strong "sense of product" and solve meaningful problems that simplify healthcare workflows. We collaborate in multidisciplinary teams to deliver secure, scalable, and user-focused solutions guided by best practices and modular design. We value diverse experiences and skill sets, continually expanding our team to tackle modern healthcare's challenges with creativity and precision. About You You have a passion for doing things The Right Way, you believe Less is More, you want to focus on the foundations of system design and architecture (pacelc, consistency guarantees), you care as much about the code you do not write, you're tired of the

  • Senior Silicon Architect

    Google - Mountain View, CA, USA
    Indexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 77 days ago

    Why we showed this

    Description: "deepmind"
    Hybrid - 2d office From the posting source Engineering 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 $218K-$237K From the posting source Equity Inferred from posting 401(k) reported

    Senior Silicon Architect Mountain View, CA, USA The US base salary range for this full-time position is $218,000 - $237,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Lead the definition of chip IP architectures, memory hierarchy, interconnect fabrics, and IP integration to meet product requirements. Utilize high-level performance and power models to guide architectural decisions and conduct detailed trade-off analyses to optimize for system-level goals. Create and maintain detailed architectural specification documents that guide micro-architecture and design teams throughout the project lifecycle. Collaborate with software, product management, and physical design teams to ensure the hardware architecture is feasible, aligns with software needs, and meets all product requirements. Drive the

  • Sales Enablement Manager - APJ

    DeepL - Tokyo, Kanto, Japan
    Indexed from Ashby
    posted 88 days ago

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    Role: semantic match
    Unspecified Sales From the posting source - Senior From the posting source Salary not disclosed Inferred from posting Mental health support

    Sales Enablement Manager - APJ 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

  • Senior Site Reliability Engineer

    Apptronik - Onsite - Austin, TX
    Indexed from Greenhouse
    posted 313 days ago

    Why we showed this

    Description: "deepmind"
    Onsite - 5d office From the posting source Engineering From the posting source - Senior From the posting source Salary not disclosed

    Senior Site Reliability Engineer Onsite - Austin, TX Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY We are seeking an experienced Site Reliability Engineer to own and maintain the deployment of our cloud-based infrastructure to customer sites. In this role, you will work closely with our Applications Engineers, IT, and software teams to ensure the smooth deployment of our solution which collects training data and deploys models to real-time robotic systems. Providing a reliable framework will accelerate progress integrating Google DeepMind's Gemini Robotics Model to humanoid robot hardware. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES - Partnering with customers and Applications Engineers to remove roadblocks to deployment success - Writing and fixing Infrastructure as Code (Terraform, Helm, Ansible) - Developing and maintaining code in Python / Typescript - Troubleshooting networking, performance, and security challenges - Collaborating with engineering and product teams to shape improvements - Responding to outages, participating in on-call rotations and traveling

  • Software Development Engineer AI/ML, Inference Serving, AWS Neuron

    Amazon - Cupertino, California, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 340 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $193K-$262K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Software Development Engineer AI/ML, Inference Serving, AWS Neuron Cupertino, California, USA AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference at scale. The Neuron Serving team develops infrastructure to serve modern machine learning models-including large language models (LLMs) and multimodal workloads-reliably and efficiently on AWS silicon. We are seeking a Software Development Engineer to lead and architect our next-generation model serving infrastructure, with a particular focus on large-scale generative AI applications. Key job responsibilities * Architect and lead the design of distributed ML serving systems optimized for generative AI workloads * Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem * Design and implement scalable solutions for both offline and online inference workloads * Lead integration efforts with frameworks such as vLLM, SGLang, Torch XLA, TensorRT, and Triton * Develop and optimize system components for tensor/data parallelism and disaggregated serving * Implement and optimize custom PyTorch operators and NKI kernels * Mentor team members and provide technical leadership across multiple work streams * Drive architectural decisions that impact the entire Neuron serving stack * Collaborate with customers, product owners, and engineering teams to define technical strategy * Author technical documentation, design proposals, and architectural guidelines A day in the life You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve: * Leading

  • Senior Software Engineer, Data Infrastructure

    Arena - Bay Area, California, United States
    Indexed from Ashby
    posted 250 days ago

    Why we showed this

    Description: "deepmind"
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity

    Senior Software Engineer, Data Infrastructure 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 Software Engineer to join our team and build the data pipelines and infrastructure that powers real-world AI evaluation. You'll play a crucial role in designing and building the data pipelines that process and analyze tens of millions user

  • Account Director - APAC

    Cognition IP - Tokyo | OnSite
    Indexed from Ashby
    posted 76 days ago

    Why we showed this

    Description: "deepmind"
    Onsite - 5d office From the posting source Sales From the posting source - Director Plus From the posting source Salary not disclosed

    Account Director - 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, 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 As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition's revenue growth and Devin's development. You'll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups. Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment. In this role, you will: - Drive revenue for Cognition, owning the entire sales

  • Deep Learning Performance Architect, CUTLASS DSL

    NVIDIA Corporation - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 84 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Deep Learning Performance Architect, CUTLASS DSL 2 Locations posted: Posted 10 Days Ago

  • Brand Marketer

    Cognition IP - San Francisco | OnSite | New York City
    Indexed from Ashby
    posted 76 days ago

    Why we showed this

    Description: "deepmind"
    Onsite - 5d office From the posting source Marketing From the posting source - Mid From the posting source Salary not disclosed

    Brand Marketer 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 We're looking for a creative, strategic marketer to own how Cognition shows up to developers, from product launches and brand campaigns to the day-to-day work of figuring out what we say, how we say it, and where. You'll plan and execute integrated campaigns across channels and work closely with our creative agencies and growth team to turn big ideas into things people actually see and remember. You might: - Plan and execute product launches end-to-end, coordinating messaging, creative, channels, timing, and cross-functional teams to make launches land. We have two major ones in the next 90 days. - Define campaign strategy: what's the insight, what's the message,

  • Machine Learning Intern - AI Agents Conversational AI

    NVIDIA Corporation - Hong Kong, STP
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 105 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Entry From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Intern - AI Agents Conversational AI Hong Kong, STP posted: Posted 30+ Days Ago

  • Data Engineer

    Cognition IP - San Francisco | OnSite
    Indexed from Ashby
    posted 76 days ago

    Why we showed this

    Description: "deepmind"
    Onsite - 5d office From the posting source Data From the posting source - Mid From the posting source Salary not disclosed

    Data Engineer San Francisco | OnSite 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 We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance. IN THIS ROLE YOU WILL: - Design and manage database architecture and data models - Build and maintain ETL/ELT pipelines and orchestration workflows - Create and manage new data integrations across internal and external systems - Own business reporting: datasets, dashboards, metrics, and self-serve analytics - Ensure data quality, observability, governance, and documentation REQUIREMENTS FOR THE

  • Solutions Engineer (US West)

    Indexed from Ashby Benefit evidence checked Jun 7, 2026
    posted 191 days ago

    Why we showed this

    Description: "deepmind"Apply link reachable when checked
    Remote From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Solutions Engineer (US West) Remote US 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 ML research labs like Deepmind and SAIL About the Role As a Solutions Engineer, you will help drive technical sales cycles, from scoping and discovery through POCs and implementation. You'll understand complex security requirements and translate them into compelling demos and architecture proposals, align with technical stakeholders, and ensure our platform is able to supercharge our customers' cybersecurity programs. What You'll Do Engage with customers to deliver polished demos and technical deep dive

  • Full Stack LLM Engineer

    Cerebras Systems - Toronto, Ontario, Canada
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026
    posted 402 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Full Stack LLM Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI

  • GRC Lead

    BrainCo - San Francisco Bay Area, San Francisco, California, United States
    Indexed from Ashby
    posted 95 days ago

    Why we showed this

    Description: "deepmind"
    Unspecified Operations From the posting source - Senior From the posting source Salary not disclosed Inferred from posting Unlimited PTO Equity

    GRC Lead San Francisco Bay Area, San Francisco, California, 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 About the Role: 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. As our GRC Lead, you'll own the governance, risk, and compliance program end-to-end - and treat it as a strategic advantage, not a checklist. Brain Co. carries one of the most demanding regulatory loads of any company our size: SOC 2 Type II and HIPAA in place today, with ISO 27001, NIST 800-171, FedRAMP/GovRAMP, GLBA,

  • Senior Deep Learning Tools Engineer – CUDA Tile

    NVIDIA Corporation - 6 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 105 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Deep Learning Tools Engineer – CUDA Tile 6 Locations posted: Posted 30+ Days Ago

  • Technical Sourcer, Engineering

    BrainCo - San Francisco Bay Area, San Francisco, California, United States
    Indexed from Ashby
    posted 122 days ago

    Why we showed this

    Description: "deepmind"
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting Unlimited PTO

    Technical Sourcer, Engineering San Francisco Bay Area, San Francisco, California, 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 the Role We're looking for a Technical Sourcer to help build the foundation of our engineering recruiting engine at Brain Co. You'll partner directly with engineering leadership to identify, engage, and inspire world-class engineers to join our team. This isn't a coordination role - you'll own pipeline creation for some of the most competitive talent pools

  • Commercial Counsel - Europe

    Cognition IP - London | Hybrid | Remote
    Indexed from Ashby
    posted 76 days ago

    Why we showed this

    Description: "deepmind"
    Hybrid - 2d office From the posting source Legal From the posting source - Mid From the posting source Salary not disclosed

    Commercial Counsel - 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 As Commercial Counsel for EMEA, you will sit at the centre of a fast-moving commercial legal function, managing a high-volume workflow of complex negotiations across AI SaaS licensing, marketing, and partnership agreements. You will be the primary legal voice in enterprise-level deals, balancing risk and reward with pragmatism and speed, and ensuring closures that are both fair and commercially sound. This role carries real weight. You will serve as the connective tissue between EMEA markets and a US-based technical and operational team, translating local legal and regulatory requirements into guidance that non-legal stakeholders can act on. That means deep fluency in GDPR, the EU AI Act, DORA, and

  • Senior Forward-Deployed Engineer, Federal

    Deepgram - Washington D.C.
    Indexed from Ashby
    posted 78 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Senior Forward-Deployed Engineer, Federal Washington D.C. 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 to

  • Social Media & Executive Brand Manager

    Fundamental - San Francisco, United States
    Indexed from Ashby
    posted 101 days ago

    Why we showed this

    Description: "deepmind"
    Unspecified Marketing From the posting source - Mid From the posting source Salary not disclosed Equity

    Social Media & Executive Brand 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're looking for a Social Media & Executive Brand Manager to help shape how Fundamental and its leadership team show up online. This is not a traditional social media management role focused on chasing vanity metrics or running generic content calendars. We're looking for someone who understands how to build attention, credibility, and relevance with highly specific audiences across platforms like LinkedIn and X. You'll help develop the voices, narratives, and digital presence of both Fundamental and its leadership team - creating content and campaigns that feel thoughtful, opinionated, culturally aware, and genuinely engaging within the worlds our customers operate in. This role is ideal for someone who understands internet culture, enterprise technology, storytelling, and how modern brands and founders build influence online. What

  • Senior Deep Learning Software Engineer, TensorRT Performance

    NVIDIA Corporation - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 105 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Deep Learning Software Engineer, TensorRT Performance 2 Locations posted: Posted 30+ Days Ago

  • Head of Insurance

    BrainCo - San Francisco Bay Area, San Francisco, California, United States
    Indexed from Ashby
    posted 89 days ago

    Why we showed this

    Description: "deepmind"
    Unspecified Sales From the posting source - Senior From the posting source Salary not disclosed Equity

    Head of Insurance San Francisco Bay Area, San Francisco, California, 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 the Role This is a foundational leadership role at Brain Co. You'll serve as our dedicated insurance GTM lead, responsible for building and closing a pipeline of enterprise insurance accounts across P&C, Specialty, and Life & Annuities. You'll inherit early product-market fit and a clear mandate: open doors, build trust with senior insurance leaders, close initial

  • Senior Deep Learning Architect, Generative AI Innovation Center

    Amazon - Tokyo, JPN
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 82 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk Salary not disclosed Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Senior Deep Learning Architect, Generative AI Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. 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 at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution 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, select and train and fine tune the right models, 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

  • Physician, Virtual Care (Part-time)

    Counsel Health - Remote - US, New York, United States
    Indexed from Ashby Comp disclosed in posting
    posted 104 days ago

    Why we showed this

    Description: "deepmind"
    Remote From the posting source Healthcare From the posting source - Mid From the posting source $140-$155/hr From the posting source

    Physician, Virtual Care (Part-time) Remote - US, 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 Location: Remote (United States), multi-state licensure preferred Team: Clinical Reports to: VP of Care Delivery Employment: W2 or 1099. We'll structure the role to fit how you want to work Schedule: Flexible. 0.8, 0.9, and 1.0 FTE available; W2 or 1099: we'll structure the role to fit how you want to work - Ability to commit at least 20 hours per week. - Ability to work up to 2 evening shifts and 2

  • Senior Machine Learning Engineer - Enrichment & Content Intelligence

    Spotify - New York, NY
    Indexed from Lever Comp disclosed in posting
    posted 88 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source $184K-$263K From the posting source Equity

    Senior Machine Learning Engineer - Enrichment & Content Intelligence New York, NY The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Enrichment & Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale. Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify's catalog. Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify. We're looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. This role sits at the intersection of multimodal machine

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