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Senior Content Strategist Additional Posting Location(s) US-MA-Marlborough|US-MN-Maple Grove Additional Location(s): Additional Posting Location(s) US-MA-Marlborough|US-MN-Maple Grove Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. About the role: The Senior Content Strategist will lead editorial storytelling that strengthens Boston Scientific's corporate reputation and brings the brand promise-advancing science for life-to life in credible, human, and compelling ways. The ideal candidate is both a strategic editorial thinker and hands-on creator who understands how trust in healthcare is built through discoverable, consistent, high-quality storytelling across social platforms such as YouTube, Instagram, Facebook and LinkedIn, as well as owned channels. While expected to create content across channels, this role has a primary focus on video-led and social-first storytelling formats. This role partners closely across Corporate Communications, Brand, Digital, and Social teams to inform and execute an integrated editorial strategy that elevates Boston Scientific's voice, highlights innovation and impact, and resonates with clinicians, patients,

Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one

Research Scientist, Efficient AI Mountain View, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team develops resource-efficient architectures, model training/inference recipes, and model compression techniques to make machine learning models faster, smaller, and better. Our mission is to push the boundaries of model efficiency, enabling Google's flagship models to run efficiently across Google's massive server-side deployments. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every

Brand Account Manager Oncology (m/w/d), Deutschschweiz (Sales Representative) Remote | Cham, ZG, Switzerland Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Are you looking to positively influence patient outcomes in Solid Tumor Oncology? The Brand Account Manager acts as direct point of contact for assigned stakeholders to transfer value proposition for AbbVie Brands. In this role, you understand customer's needs and adapt accordingly, guide customers to solutions and agree on necessary steps forward. You are responsible for the execution of the brand strategy in the multi-disciplinary In-Field Team (IFT). You continuously strive to gain market insights and proactively, transparently and constantly transfer relevant insights back to the IFT. Key responsibilities: You act as our point-of-contact and engage healthcare providers with AbbVie's brand promise, strengthening our presence in the market. You understand our customers' needs and develop tailored solutions that achieve greater patient outcomes. You know how to build strong, lasting relationships with experts and opinion leaders, thereby expanding our network. You use innovative approaches, including digital and omnichannel methods, to engage hard-to-reach customers and unlock new

Research Software Engineer, Generative AI London, UK; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next-generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond.

Joint Clinical Assessment (JCA) Dossier Manager, International HTA Strategy Paris, IDF, France Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: Advances in scientific and technological research are opening up new, promising treatments for previously difficult to treat diseases, increasing the demand on already constrained healthcare budgets. The challenging economic and political environment is leading Health Technology Assessment (HTA) agencies and payers to demand better outcomes at lower cost to overall health system. In 2021 European commission adopted the EU HTA regulation with the key objectives of accelerating patient access to innovative treatments by harmonizing methodologies, establishing predictability and avoiding duplications. For AbbVie, this provides a unique opportunity to demonstrate the value attributes of our assets & strengthen affiliate position in country P&R appraisals. Joint Clinical Assessments is the key component of the EU HTA regulation and comprises the EU HTA dossier that will need to be submitted to the Member State Coordination Group on HTA; eg, to address issues of relative effectiveness and relative safety within a single submission. For AbbVie,

Research Scientist/Engineer, Autonomous Security, DeepMind Mountain View, CA, USA; +2 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. We are building AI agents that operate autonomously in complex security environments. This requires equal parts ML research and security expertise: designing training pipelines, reward functions, and evaluation benchmarks grounded in realistic security scenarios, then deploying those systems in real-world settings. In a given week, you might fine-tune a foundation model on multi-step exploitation trajectories, design a reward function that captures nuanced security reasoning, build a security-focused RL environment, or architect an evaluation harness that

Senior Systems Analyst – Robotic Algorithms and Control Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We seek a Senior Systems Analyst to join the Future Forward Research group at Intuitive Surgical. Our group explores new, promising technologies for future products and applications in the emerging computer-and robot-assisted medical interventions field. A Senior Systems Analyst is responsible for the detailed design and implementation of controllers and algorithms to assess novel instrument concepts and visualization schemes running on Intuitive's latest surgical robots or new platforms. This responsibility includes integrating and evaluating fully functional prototypes

Research Scientist, Optical Engineering Neutral Atoms, Quantum AI Boulder, CO, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques

Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day

Quantum Error Correction Metrologist, Quantum AI Goleta, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity +

Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. 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

Staff Research Scientist, Google Cloud AI Research Sunnyvale, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual

Senior Research Scientist, Google Research Mountain View, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs. Individual pay is determined by factors including job-related skills,

Senior Research Scientist, Google Cloud AI Research Sunnyvale, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual

Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on

SAP China iXp Intern - Quality Engineer - Xi'an SAP China iXp Intern - Quality Engineer - Xi'an | Country China | Internal Posting Location Xi 'an We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build SAP Adaptive Server Enterprise (ASE) is a highly optimized relational database management system for mission critical transactional processing and operational reporting. It delivered high performance at a low total cost of ownership and is designed to run on any standard hardware and operating system. SAP ASE is widely used in banking, stock trading, insurance and other data-intensive financial businesses. Now SAP ASE is being renewed for continuing supporting on-premise businesses and extending footprint to cloud as well. After joining us, you will Focus on Software quality, performance and scalability. Build a strong foundation in relational database concepts. Contribute innovative new ideas to shape the product. Develop test plans, test framework, test cases, and test scripts. Perform manual and automated testing against on-promise products and cloud services. Collaborate with

Applied AI Coach Georgia - Atlanta; California - Irvine; New York - New York; California - San Francisco; Colorado - Denver The Applied AI Coach is part of our new Outcome Acceleration team. Our team works with Agentforce to stay ahead of customer needs and ensure AI delivers real results. In this role, you will own the customer journey from the first sale until their AI deployment is stable and delivering value. You'll bridge the gap between building AI and realizing the business outcomes it was promised to bring. This is a hybrid role, based out of our SMB Hub, requiring an on-site presence 3 days per week. Responsibilities Design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case Run four-week sprints to diagnose and resolve performance issues when AI results are lagging Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than simple usage reports Track AI agent deployment and adoption weekly to ensure stability in production Required Qualifications Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field 1-3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support Proven ability to work directly with customers to solve problems and communicate technical concepts clearly Hands-on experience with prompt engineering, vibe-coding tools, or LLMs Strong analytical skills with the ability to interpret outcome models and prove the value of AI Clear understanding of how AI

Research Scientist, Neutral Atoms, Quantum AI Boulder, CO, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. As a Research Scientist, you will be joining a team building a fault-tolerant quantum computer based on neutral atoms. You will be involved in research and development to advance the neutral atom quantum platform, translating theoretical concepts into practical experimental setups.The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is

Research Engineer, Responsibility Engineering, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. 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. Prototype and deliver scalable engineering solutions rapidly. Architect and optimize training and inference pipelines to evaluate the frontier language models. Develop post-training strategies to mitigate adversarial risks including jailbreak and prompt injection attacks. Collaborate with Research Scientists to translate safety

Research Engineer, Gemmaverse Variants Research, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of “what AI should be used for”, leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models. 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

Sales Director-Tech Cloud MUMBAI, MAHARASHTRA, India, IN In this role, you will drive the adoption of Oracle Cloud Infrastructure (OCI) across customers IaaS and PaaS environments, including distributed, public, and private cloud portfolios. You will help customers solve critical business challenges-such as accelerating decision-making with AI-powered insights or meeting demanding service-level expectations-by delivering strategic cloud solutions that drive measurable outcomes. The ideal candidate will have a strong understanding of all OCI products and services; sales experience in the enterprise software space, and a passion for helping clients succeed through applying innovative technology. You would have solid expertise selling to C-suite, engineering, and DevOps, and be familiar with open source and other cloud tools (such as Dockers, Kubernetes, Terraform, Linux, Java) We are seeking motivated individuals with a strong "hunter and challenger" mindset who excel at opening new markets, developing territories, and growing existing accounts. You will create exceptional customer experiences that result in long-term partnerships, contract renewals, and expanded cloud adoption. Sales Prospecting & Lead Generation: Identify and target new business opportunities for Oracle Cloud solutions across multiple industries to ensure coverage of the assigned territory. Develop and execute outbound strategies to generate leads through customer engagement, networking, attending events, and leveraging digital channels. Qualify and prioritize leads to engage the most promising prospects for Oracle Cloud solutions. Create and continuously update account management plans within the defined territory. Consultative and Solution Selling: Engage with senior executives (C-level) as a trusted advisor to challenge conventional approaches and deliver transformative results.

Senior Principal, Value Creation, Google Cloud Tokyo, Japan 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 sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Serve as a strategic advisor to C-level stakeholders (CFO, CIO, COO) of key customers in JAPAC region, helping them understand the financial and operational benefits of cloud and AI adoption. Develop sophisticated ROI, NPV, and Total Cost of Ownership (TCO) models that integrate technical cloud architecture with corporate finance principles. Create and iterate on "Value Frameworks" for core products like Gemini (AI), Data Modernization, Data Analytics and Security to be used by the broader sales organization. Lead value engagements for multi-year, high-dollar "Strategic Pursuits," navigating complex client environments to deliver business value autonomously. Establish post-sale benchmarks to track whether the customer is achieving the business goals promised during the sales cycle. Minimum qualifications: Bachelor's degree or equivalent practical experience. 15 years of experience in value engineering, technical project management, strategy consulting, sales strategy in cloud computing or technology. Experience building quantitative business cases and financial models. Experience managing business executive stakeholders. Preferred qualifications: Master's degree in a business or technical field. Experience in formulating board-level business strategies leveraging Innovation frameworks. Knowledge of value selling methodologies and the cloud value chain (specifically how AI/ML impacts operational efficiency).

Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on