Research Scientist, Gemini Safety

At Google DeepMind, we celebrate the richness of diverse experiences, knowledge, and backgrounds, leveraging these unique perspectives to achieve remarkable outcomes. Our commitment to equal employment opportunity extends to all individuals, irrespective of sex, race, religion, belief, ethnicity, nationality, disability, age, citizenship, marital status, sex…

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges within the realms of AI and Robotics. Our goal is to develop future generations of intelligent machines designed to enhance the quality of life for everyone.About the Role: Research ScientistAs a Research Scientist, you will possess extensive hands-on research experience, specializing in one or more of the following areas: Robot Control (Reinforcement Learning, Imitation Learning), Perception, Autonomy and Navigation, Large Language Models (LLM/VLM), and Hardware Design. If you are passionate about innovating technology for robots and enhancing their capabilities and utility, we invite you to become part of our team!

Intrinsic Robotics is at the forefront of redefining industrial robotics as part of Alphabet's innovative vision. We are committed to harnessing advances in AI, perception, and simulation to unlock new possibilities in the field of industrial robotics, with software and data at the heart of our solutions. Our mission is to make industrial robotics smarter, more accessible, and user-friendly for a diverse range of businesses, entrepreneurs, and developers. Our dynamic team consists of engineers, roboticists, designers, and technologists who are passionate about unleashing the creative and economic potential of industrial robotics. Role OverviewAs a Senior Research Scientist within our Applied Research team, you will spearhead applied research initiatives and design groundbreaking algorithms in geometric computer vision and image/video-centric foundation models tailored for scalable deployment in industrial robotics. Your expertise in Deep Learning will aid in defining processes and formulating strategies to reduce hallucination risks, enhance accuracy, and execute algorithms on industrial robotics workcells, thereby assessing the sim-to-real transfer of models. Additionally, you will guide the development of synthetic data and annotations essential for training foundation models, identifying gaps in the sim-to-real transfer process. Collaboration with research partners and interdisciplinary engineering teams will be crucial as we explore new methodologies and architectures to integrate cutting-edge foundation models into real-world industrial applications. Continuous learning and embracing unfamiliar technologies will be integral to your role. Your ImpactYour contributions will be pivotal in democratizing access to advanced AI capabilities within the robotics sector, boosting the reliability of deploying AI models at scale in industrial environments. Your day-to-day responsibilities will include: You will demonstrate insight and innovation, proactively identifying challenges and proposing practical solutions that can be implemented in high-throughput settings.You will act as a liaison between the robotics team and our research partners, collaborating effectively to provide engineering insights into research projects and conceptualize next-generation solutions. You will serve as an advisor to engineering and cross-functional teams, guiding them in translating early-stage AI research into robust engineering capabilities within Flowstate (Intrinsic’s robotics software platform).

About Mistral AIAt Mistral AI, we harness the transformative potential of artificial intelligence to streamline processes, enhance creativity, and save valuable time. Our cutting-edge technology is meticulously crafted to seamlessly integrate into everyday workflows, making AI accessible and beneficial for everyone.We are dedicated to democratizing AI by offering high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform caters to both enterprise and individual needs, featuring innovative offerings such as Le Chat, La Plateforme, Mistral Code, and Mistral Compute. These solutions empower users with frontier-level intelligence.As a dynamic and collaborative team, we are passionate about the potential of AI to revolutionize society. Our diverse workforce thrives in competitive environments, driving innovation across our distributed teams in France, the USA, the UK, Germany, and Singapore. We pride ourselves on our creativity, humility, and strong team spirit.Join us at Mistral AI and help shape the future of artificial intelligence. Together, we can create impactful solutions that matter. Discover more about our culture at mistral.ai/careers.Mistral AI participates in the E-Verify program.

About GenPeach AIGenPeach AI is an innovative research lab focused on developing cutting-edge multimodal foundation models aimed at hyper-realistic human generation in both image and video formats. Our mission is to cultivate tools that enhance human creativity rather than replace it.We specialize in training models from the ground up, leveraging proprietary datasets at a massive scale, pioneering architectures, and custom training methodologies. We utilize extensive GPU clusters and ensure swift product integration so that our research reaches users quickly.Our technical team, consisting of around 10 experts, is guided by Directors from Google DeepMind and supported by premier AI-focused funds and influential angel investors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Together, our team, advisors, and investors have contributed to significant models such as Meta’s Imagine/MovieGen and foundational model work that supports OpenAI’s Sora, as well as Google’s Veo and Gemini.About the RoleWe are seeking a distinguished AI Research Scientist to spearhead the next evolution of GenPeach AI foundation models. This role is categorized as a Leadership Individual Contributor, where you will influence research direction through practical experimentation, guide technical strategy across the entire stack, and mentor a select group of researchers while collaborating closely with the founding team.This position transcends mere fine-tuning of existing models; it involves constructing new capabilities through innovative architecture work, training systems, and post-training methodologies—culminating in their deployment into a production environment.Key ResponsibilitiesCollaborate in designing and training large-scale diffusion models for advanced image and video generation.Develop and refine training recipes (including pretraining, post-training, control, and preference tuning) to unlock enhanced model functionalities.Conduct rigorous ablation studies: discern effective strategies, understand their mechanisms, and communicate findings clearly to guide roadmap decisions.Evaluate speed/quality/cost trade-offs and make informed technical decisions that significantly impact training efficiency and production quality.Contribute to dataset strategy: focus on curation signals, filtering, evaluations, and feedback loops from product performance.Work in tandem with engineering and product teams to transition research into production (addressing serving constraints, stability, monitoring, and rapid iteration).Guide and elevate the skills of a small team of researchers through code reviews and maintaining research standards.

OverviewJoin our innovative GeminiApp team at DeepMind, where we are dedicated to creating a universal AI assistant that aims to empower billions. Our vision is to craft a personal, proactive assistant that enhances productivity and creativity exponentially, revolutionizing human interaction with AI.About DeepMindAt DeepMind, we believe that Artificial Intelligence is one of humanity's most transformative inventions. Our diverse team, comprising scientists, engineers, and machine learning specialists, collaborates to push the boundaries of AI technology. We prioritize public benefit and ethical considerations, partnering with others to tackle significant global challenges.Your RoleAs a Senior Data Scientist on the GeminiApp team, you will play a pivotal role in shaping our product strategies while leading a talented team. Your expertise in data will be crucial in building a next-generation assistant. This high-impact position is ideal for a data scientist who thrives in a dynamic environment and is passionate about creating user-centered solutions that redefine technological interactions.Key Responsibilities:Collaborate with Product Management, engineering, and UX teams to formulate data-driven product strategies.Transform ambiguous business questions into clearly defined problems, design experiments, and analyze complex datasets for actionable insights.Create and implement innovative, goal-oriented metrics.Develop and deploy statistical and machine learning models to enhance user understanding, product features, and personalized experiences.Effectively communicate insights and recommendations to stakeholders, including executive leadership.Promote a data-driven culture by integrating user engagement insights into ongoing models.Work closely with the GenAI team to ensure model quality and feature uptake.Serve as a technical leader, mentoring junior team members on complex analyses and upholding best practices for impactful results.

At Exa, we are revolutionizing the landscape of search engines by constructing a robust platform from the ground up to cater to every AI application. Our team is dedicated to building a colossal infrastructure that efficiently crawls the web, trains cutting-edge embedding models for indexing, and develops high-performance vector databases using Rust for swift searching capabilities. We are proud to operate a $5M H200 GPU cluster that powers tens of thousands of machines with unparalleled efficiency.As a member of our Machine Learning team, you will play a pivotal role in training foundational models for advanced search functionalities. Our mission is to create systems capable of instantaneously filtering the vast knowledge available online to deliver exactly what you need, no matter the complexity of your query. Essentially, we aim to transform the web into an extraordinarily powerful database.We are in search of a passionate Machine Learning Research Engineer who will focus on training embedding models to enhance web search accuracy. This role will involve conceptualizing innovative transformer-based architectures for search, generating extensive datasets, conducting evaluations, and consistently striving to surpass our internal state-of-the-art benchmarks.

The Product Creation Academy at On AG is a two-year rotational program for early-career professionals interested in footwear polymer science. Based in Zurich, this program combines technical learning with practical experience and mentorship from industry leaders. Program Structure Specialized rotations focus on deepening expertise in polymer science as it relates to footwear materials and processes. Personalized mentorship is provided by senior leaders throughout the two-year period. A hands-on rotation in Vietnam offers direct exposure to the full product creation process, from concept to production. This academy is designed to help participants build the skills and industry knowledge needed to become technical experts in one of the fastest-growing sportswear companies. Key Details Location: Zurich, with a practical rotation in Vietnam. Program start date: September 1, 2026. Application window: The position will remain open for a limited time. Early applications are encouraged due to high demand.

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence framework that will drive the next generation of humanoid robots. Our overarching mission is to expedite the transformation from delicate prototypes to their practical application in real-world scenarios. Founded by preeminent scientists specializing in robot reinforcement learning, with backgrounds from Nvidia and ETH Zürich, we are supported by top-tier international venture capital firms. In just a few months, we've transitioned from our initial line of code to the deployment of tangible humanoid capabilities alongside our partners.The Role:We are seeking a highly skilled expert in whole-body motion generation and/or vision-conditioned generative models to enhance our team in Zurich. Drawing inspiration from the recent advancements in neural avatars and computer graphics, we strive to implement similar methodologies to generate comprehensive body movements for our humanoid robots. The primary objective of this role is to innovate and implement cutting-edge multimodal generative models for robot trajectory generation.

Flexion Robotics develops intelligence for next-generation humanoid robots, aiming to move quickly from prototypes to real-world use. Founded by specialists in robot reinforcement learning from organizations like Nvidia and ETH Zürich, the company has progressed from early code to functional humanoid systems, supported by international venture capital. Role overview This AI Research Engineer position centers on reinforcement learning for manipulation in humanoid robots. The work blends research and engineering, with a focus on enabling robots to perform long-horizon, contact-rich tasks reliably outside the lab. The role involves significant ownership and close collaboration with simulation and control teams to deliver integrated robotic capabilities. What you will do Advance RL-based manipulation: Design and implement learning strategies for complex, dexterous manipulation tasks, moving humanoid robots toward practical deployment. Address long-horizon and sparse-reward challenges: Develop algorithms and systems to help robots handle multi-stage tasks with delayed or sparse rewards, tackling issues like credit assignment, exploration, and stability in real-world conditions. Facilitate sim-to-real transfer: Create methods for transferring policies from simulation to physical robots, focusing on robustness, managing model mismatches, and applying techniques such as domain randomization and system identification. Enhance RL systems: Optimize large-scale training pipelines for learning across many parallel environments, and work with simulation teams to improve efficiency and enable more complex behaviors. Innovate learning methodologies: Explore and apply new approaches that combine reinforcement learning, imitation learning, and model-based methods, going beyond standard practices when needed. Location This role is based in Zürich, Zurich, Switzerland.

About GenPeach AIGenPeach AI is a pioneering research lab dedicated to developing vertical multimodal foundation models aimed at creating hyper-realistic human representations in images and videos. Our mission is to empower human creativity through advanced AI tools rather than replace it.We build our models from the ground up, utilizing proprietary datasets at an expansive scale, innovative architectures and training methodologies, extensive GPU resources, and seamless product integration to expedite the delivery of our research to end users.Our team consists of approximately 10 highly skilled professionals, guided by advisors from Google DeepMind and supported by prominent AI-focused investors and advisors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Collectively, our team and advisors have significantly contributed to groundbreaking models such as Meta’s Imagine/MovieGen, OpenAI’s Sora, Google’s Veo, and Gemini.About the TeamYou will become a key member of the research team, focused on advancing image/video generation and multimodal understanding. Collaborating closely with fellow Research Engineers, Scientists, and Founders, you will transform innovative research into scalable training processes, robust evaluations, and production-ready systems.About the RoleWe are seeking an AI Research Engineer to contribute to the end-to-end development and scaling of GenPeach’s foundational models. Your responsibilities will include the implementation of new model concepts and training methodologies, managing critical aspects of the training stack that influence quality and efficiency, and navigating production constraints.This role is hands-on with a high degree of ownership, where you will write research-quality code that is vital for production.In this role, you willDevelop and refine image/video generative model concepts (architecture, loss functions, conditioning, sampling, distillation, post-training adjustments)Oversee training performance comprehensively (distributed training, throughput, memory management, stability, debugging scaling issues)Establish and enhance the experimental workflow (evaluations, ablation studies, reproducibility tools, reporting, decision-making processes)Create and optimize VLMs for image/video captioning (data preparation, training strategies, model variations, evaluation)Conduct high-frequency research: review literature as needed, implement concepts, and validate findings empirically

ANYbotics is a rapidly expanding technology firm committed to pioneering the future of mobile robotics across diverse sectors. Become a part of our highly skilled and passionate team of over 200 professionals and contribute to the development of state-of-the-art robotic technology.The OpportunityAs a member of our Solutions team, you will drive innovations in autonomous robotic inspection intelligence. You will develop advanced AI, machine learning, and sensing technologies, from initial exploration to solving complex real-world deployment challenges. By collaborating with engineers and partners, you will evaluate new technologies, design proof-of-concept experiments, build research prototypes, and efficiently transition successful ideas into our products. Your contributions will influence our technology roadmap, steer our long-term strategy, and ensure every solution is robust, dependable, and impactful. If you are passionate about exploration, hands-on experimentation, and believe your research can transform robotics and industrial inspections, this role offers you the chance to make a substantial impact—for our clients and the robotics community.Market & TechnologyANYbotics is revolutionizing industrial plants in the renewable energy, process, and utility sectors by integrating robotics into a variety of innovative applications previously thought unattainable. Our mobile robot ANYmal is designed for extreme mobility in intricate environments, utilizing camera and LIDAR-based sensing for comprehensive autonomy and obstacle avoidance, enabling it to perform tasks and provide high-quality, consistent inspection results. We create numerous custom hardware solutions, encompassing the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all associated ANYbotics electrical hardware.About Us:ANYbotics is a leading robotics enterprise specializing in advanced autonomous systems. Following a successful Series B funding round, we are positioned for significant growth and international expansion. Our mission is to transform the robotics industry through innovative technology and groundbreaking solutions. As we embark on this thrilling journey, we are on the lookout for a dynamic and experienced individual to join our team and help us shape the future of autonomous robotic inspections.

Join Esri as a Research and Development Intern in Zurich, where you will have the opportunity to contribute to innovative projects that shape the future of geographic information systems. Work alongside expert teams and gain hands-on experience in cutting-edge technologies. This internship will provide you with invaluable insights into the R&D processes at a leading software company.

Title: Senior Machine Learning Engineer / Data ScientistType: Full-timeLocation: ZürichAbout UsAt Visium, we empower enterprise leaders to define their AI and data strategies, execute large-scale transformations, and implement AI across operations to ensure their organizations are future-ready. With deep expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we enable our clients to harness and scale their data effectively.Our mission is to forge a brighter future by building ethical, future-proof organizations. Join our community of innovators, dreamers, and doers who strive to create a world we can all be proud of – our Visiumees.Are you ready to join us?Role OverviewAs a key member of our expanding team, you will contribute to our growth in Switzerland and beyond. In your role as a Senior Machine Learning Engineer, you'll engage in diverse applied research projects utilizing cutting-edge machine learning techniques and assist in deploying solutions that enhance customer experiences and adoption. Your passion for understanding the business context behind features will be essential, and your meticulous organization will enable you to thrive in our fast-paced, dynamic team environment.

Duration: Minimum 6 months; ideally 9–12 months, depending on the candidate’s experience.At Scandit, we empower individuals with cutting-edge technology. Whether it’s accelerating delivery routes for drivers, ensuring patients receive the correct medications, or streamlining retail operations, our solutions transform workflows and yield actionable insights across diverse sectors. Join us as we innovate, expand, and elevate Scandit to new heights.About the InternshipThis research-oriented internship is designed to propel advancements in machine learning techniques for intricate visual understanding tasks. You will engage in projects that focus on deep learning frameworks for image-to-sequence modeling, including Transformers and attention mechanisms, to tackle complex and highly structured computer vision challenges. Your contributions will play a crucial role in our long-term research initiatives targeting enhanced performance, robustness, and generalization in large-scale visual applications.Your ResponsibilitiesCollaborating closely with seasoned ML researchers and engineers, you will be at the forefront of groundbreaking research that intersects computer vision and sequence modeling. Your key responsibilities will include:Designing and testing innovative ML architectures for structured visual data.Assessing various modeling paradigms, including encoder-decoder frameworks and hybrid Transformer models.Exploring methods to enhance robustness, generalization, and multi-view reasoning capabilities.Conducting systematic experiments, ablation studies, and error analyses to substantiate your research hypotheses.This internship offers a unique opportunity for original model development, extensive experimentation, and impactful scholarly work. You will help drive technological innovation with potential real-world implications for millions of users, making this position ideal for master’s students, PhD candidates, or those aspiring for research careers in academia or industry.Your ProfileYou are a Master's or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, with a strong emphasis on research. You possess a solid understanding of machine learning theory, neural networks, and computer vision.Key Skills:Expertise in Python and deep learning frameworks such as PyTorch.Hands-on experience in designing, training, and evaluating neural networks, including CNNs and Transformer architectures.Exceptional analytical and problem-solving skills, with the ability to tackle complex challenges.