AI Research Engineer

Are you excited about pushing the frontiers of artificial intelligence and machine learning? Cobot, a forward-thinking startup, is on the lookout for a skilled AI Research Engineer to become a vital part of our Foundational Models AI team. This position is perfect for those who are both researchers and builders, capable of transforming groundbreaking concepts into functional prototypes that redefine intelligent systems.In this dynamic role, you will collaborate closely with an agile team of AI researchers and engineers, delving into areas such as reinforcement learning, transformer-based architectures, and diffusion models. Your responsibilities will include designing, developing, and rapidly iterating on machine learning experiments, contributing significantly to the evolution of foundational models that will shape the future of autonomous systems and intelligent robotics.Join us in reimagining the landscape of human-robot interaction.Cobot is a collective of innovators and creators dedicated to transforming the future of human-robot interactions. We envision a world where robots seamlessly integrate into our everyday lives, functioning and adapting around us rather than the other way around.This position is based onsite at our Seattle, WA office.Cobot offers a relocation stipend for candidates moving to Seattle from over 50 miles away.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. Our innovative team is at the forefront of creating generative AI models that facilitate the design of protein and antibody therapeutics, enabling the development of medications targeting historically challenging molecular entities. We are also working on foundational models that enhance our understanding of biology and disease, leading to improved target identification and patient stratification. Together, these advancements strive to continuously uncover novel therapies and enhance the efficiency of drug development processes. Headquartered in the vibrant tech hubs of the San Francisco Bay Area, Seattle, and London, Xaira is positioned to make a global impact in healthcare.About the RoleWe are on the lookout for a skilled AI Research Engineer to join our dynamic team. As an integral member of our interdisciplinary unit, you will work closely with AI scientists, engineers, and drug discovery specialists to develop and implement AI models aimed at expediting the discovery and development of innovative therapeutics. This position presents an exciting opportunity to apply state-of-the-art AI methodologies in practical settings to tackle critical healthcare challenges and contribute to enhancing global health outcomes.We seek candidates with a proven track record in building and deploying machine learning systems in industrial contexts, emphasizing rigor, scalability, and cross-functional collaboration. The ideal candidate will possess experience in transforming research concepts into robust, production-ready applications that deliver measurable results.

Role Overview The Allen Institute is seeking a Research Engineer to join the FlexOlmo team in Seattle, WA. This position focuses on advancing large language model architectures, especially in Mixture-of-Experts (MoE), long-context language models (LCLMs), and flexible data utilization. Work will be based at our Seattle offices. For details about on-site expectations, please reach out to the recruiter. About the FlexOlmo Team FlexOlmo designs new model architectures and training methods to help models use data more effectively. The team explores improved training strategies, inference-time conditioning, and retrieval, broadening the types of data models can leverage and ultimately raising performance. FlexOlmo also develops scientific approaches for evaluating and understanding these systems. The team’s work includes impactful research and open-source tools that support NLP research worldwide. The initial release in July 2025 introduced a significant Mixture-of-Experts architecture, with future projects targeting further innovation in AI. About the Allen Institute The Allen Institute for AI (Ai2) is a non-profit focused on foundational AI research and innovation. The organization creates large-scale open models, datasets, and artifacts such as OLMo, Tulu, Asta, and OlmoEarth. Teams at Ai2 bring together leading scientific and engineering talent to pursue open AI, moving quickly from idea to action through collaboration. What You Will Do Contribute to the development of next-generation language model architectures, with an emphasis on Mixture-of-Experts and long-context models Apply and extend methods for flexible data utilization during training and inference Translate high-level research goals into concrete implementation steps and methodologies Work collaboratively within a team of researchers and engineers Present findings and explain complex technical concepts clearly Help create open-source tools that support the NLP research community What We’re Looking For Hands-on engineering experience in deep learning and natural language processing Strong understanding of language models and transformer architectures, especially Mixture-of-Experts Ability to work independently and collaboratively Experience translating research objectives into actionable steps Clear communication skills for technical and non-technical audiences Interest in advancing open AI and contributing to impactful research Compensation Base salary range: $128,880 to $193,320. Compensation includes generous bonus plans.

Interns are required to work from our Seattle offices, with on-site arrangements varying by team and role. For inquiries about on-site expectations, please contact your recruiter.*Compensation is based on current degree enrollment.Undergraduate Research Intern: $94,320 (Annually)Master's Research Intern: $106,110 (Annually)PhD Research Intern: $140,000 (Annually)Who You Are:Are you enthusiastic about the transformative power of AI in advancing scientific research?The Asta Project at Ai2 (https://allenai.org/asta) is dedicated to rapidly propelling scientific discovery by creating innovative AI solutions. These include AI research assistants for scientists, literature comprehension and synthesis, human-AI interaction, intelligent interfaces, and agents capable of learning over time.We seek driven and ambitious interns eager to tackle complex challenges with significant potential impact. Key focus areas include:Agentic planning, reasoning, learning, and evaluation.Automated and AI-assisted scientific discovery.Data-driven discovery.Human-AI collaboration, particularly in literature sensemaking and research ideation.Human-agent collaboration, emphasizing proactivity and memory management.Understanding scientific literature, RAG, and multi-document summarization.Continual learning, representation, and reasoning.Post-training model tuning, distillation, and specialization.(Priorities may vary.)Explore our publications to see examples of our work.https://allenai.org/papers?tags=semantic%20scholarhttps://allenai.org/papers?tags=AristoWe will continue to review applications on a rolling basis, but for full consideration for summer 2026 positions, please apply by December 15, 2025.

Individuals in this position are required to work from our Seattle offices. On-site work expectations vary by role and team. If you have inquiries regarding on-site arrangements for this position, please reach out to your recruiter.Our base salary range is between $170,000 and $220,000, complemented by generous bonus plans to ensure a competitive compensation package.About Us:We are a non-profit AI institute dedicated to pioneering foundational research and innovation in AI, delivering tangible impacts through expansive open models, data, and artifacts (e.g., Olmo, Tulu, Molmo). Our mission is to bring together the most talented scientific and engineering professionals to explore the vast potential of open AI. Through groundbreaking initiatives like the Olmo releases, we aim to empower academics, researchers, and AI developers to enhance language models and generative AI.Our team engages in diverse AI research, including pre-training and post-training language models, data curation across modalities, and the development of innovative methodologies. We rigorously study and evaluate AI models both theoretically and empirically to enhance their functionality. Additionally, we focus on creating impactful real-world applications in scientific synthesis, striving to develop state-of-the-art models for scientific discovery, reasoning, and factual recall.Your Challenge:As a core member of our research and machine learning engineering team, you will contribute to exciting projects, leveraging your hands-on experience in a fast-paced environment.

Machine Learning Postdoctoral Researcher in LLMs & Generative AIAt Truveta, we are pioneering the world's first health provider-led data platform with the noble vision of saving lives through data. Our mission is to expedite research for cures, empower clinicians with expert insights, and facilitate informed care decisions for families. To achieve this ambitious vision, we are building a talented and inspired team that combines expertise in healthcare, software, and big data, united by our company values.While our headquarters are in the greater Seattle area, we embrace a culture of remote work. Participation in the Postdoctoral Research program requires physical presence in the United States for its duration. #LI-remoteWho We Are Looking ForWe are in search of an exceptionally motivated Machine Learning Postdoctoral Researcher to join our AI research team, contributing to groundbreaking projects in Large Language Modeling (LLM) and clinical data analysis. Ideal candidates will be problem solvers, enthusiastic collaborators, and individuals willing to engage hands-on to make an impactful difference. If you are eager to pursue meaningful work alongside a mission-driven team and build a fulfilling career while enjoying the journey, Truveta could be your ideal match.Program OverviewOur Postdoctoral Research program is tailored for candidates who have completed their PhD within the last two years and have been engaged in their field as a researcher, educator, or industry scientist since graduation. Candidates should demonstrate independence in defining their research strategy within a domain while also applying innovative solutions to our products. The program duration ranges from a minimum of 3 months to a maximum of 12 months, with possibilities for extension based on organizational needs and personal aspirations.

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.

Join Oumi as a Research ScientistAbout Oumi: Oumi is committed to democratizing frontier AI, believing that collective and open development is essential for its safe and efficient advancement. Our mission is to provide the safest, highest quality, and most adaptable AI technologies to empower individuals and organizations, ultimately benefiting humanity as a whole.Our Solutions: Oumi offers a comprehensive platform for building advanced AI models, facilitating every stage from data preparation to model training and deployment. We collaborate with academic partners and the broader community to enhance open foundation models.Our Values: At Oumi, our foundation is built on open-source principles and collaboration. Our endeavors are:Research-driven: Conducting and sharing original AI research in partnership with global academic institutions.Community-focused: Encouraging contributions from researchers and developers worldwide.Accessibility-oriented: Designing our platform to lower barriers for organizations of all sizes to engage with AI.Position SummaryAs a Research Scientist at Oumi, you will play a crucial role in our research team, focusing on the advancement of Large Language Models (LLMs), Vision Language Models (VLMs), and associated technologies. Your work will involve pioneering research, engaging in open-source projects, and collaborating with fellow researchers and engineers on various dimensions of LLM/VLM development including training, evaluation, data curation, and benchmark formulation.Key Responsibilities:Model Development: Engage in research to develop and assess innovative LLMs, VLMs, and other AI models, exploring novel architectures and training methodologies.Data Curation: Create strategies for assembling high-quality datasets for LLM training and evaluation, employing techniques such as data synthesis.

All candidates are expected to work from our Seattle offices, with specific on-site requirements varying by position and team. For inquiries regarding on-site arrangements, please consult your recruiter.Our base salary range is $128,880 - $193,320, complemented by a competitive bonus structure to enhance your overall compensation.Who You Are:The Allen Institute is on the lookout for a skilled and driven Research Engineer II to join our FlexOlmo team, where you will focus on developing large language models optimized for flexible data utilization, with a strong emphasis on Mixture-of-Experts (MoE), long-context language models (LCLMs), and retrieval systems.You are an innovative engineer who excels in a dynamic atmosphere, is self-motivated, and thrives as a collaborative team member. Your profound understanding of contemporary deep learning techniques, natural language processing, and transformer architecture—particularly MoEs—allows you to transform high-level objectives into actionable research and implementation strategies. You possess the ability to articulate complex technical concepts clearly, contributing to real-world advancements for researchers and practitioners alike. Your enthusiasm for creating leading-edge open AI models is palpable.Who We Are:As a non-profit AI institute, our mission is to spearhead foundational AI research and innovation that yields tangible impacts through expansive open models, data, and artifacts such as OLMo, Tulu, Asta, and OlmoEarth. We bring together exceptional scientific and engineering talent to explore the vast potential of open AI. Our collaborative efforts allow us to swiftly identify and act upon the most exciting and promising ideas in AI.The FlexOlmo team is dedicated to designing new architectures and training methodologies that enhance models' data utilization—improving training, inference-time conditioning, and retrieval capabilities to broaden data types and boost performance. We prioritize developing scientific methodologies for evaluating and comprehending these systems, producing high-impact research and expertly engineered open-source tools that foster NLP research globally. Our first release in July 2025 will focus on new Mixture-of-Experts models.

Join our dynamic team at The Allen Institute in Seattle, where we are at the forefront of robotics research. This position requires on-site work in our Seattle offices, with flexibility depending on your team and role. If you have questions regarding our on-site policies, feel free to reach out to your recruiter.We offer a competitive base salary ranging from $167,030 to $260,570, complemented by generous bonuses to ensure a comprehensive compensation package.Who You Are:As a Research Scientist specializing in robotics, you will be tasked with tackling core research challenges related to foundational models and skills in robotics. You will contribute to the creation of entirely open datasets, benchmarks, and models, while also engaging in real-world experiments with robots.We seek applicants with a passion for robotics, particularly in areas such as robot manipulation techniques, large-scale training in simulated environments, vision-language-action models, and skill learning. International applicants are encouraged to apply, and we offer competitive pay along with visa sponsorship.Our team collaborates extensively with other researchers across various Ai2 groups, focusing on embodied AI, computer vision, and natural language processing, among others. Our Seattle office has close ties with the University of Washington, located just 1.5 miles away, providing unique collaboration opportunities. Enthusiastic researchers who thrive in collaborative environments are highly encouraged to apply.The Robotics team undertakes multiple innovative research projects in these domains, and team members can also engage in additional critical activities that align with our mission. These include leading specific projects, mentoring interns and pre-doctoral candidates, publishing scientific papers, and collaborating with a network of esteemed researchers.

As a Forward Deployed Engineer (FDE) at Palona AI, you will serve as a crucial link between our innovative product and engineering teams and our valued customers. Your role involves embedding directly with users to understand their unique challenges and translating those insights into cutting-edge technical solutions. You'll be responsible for deploying production-grade AI systems, managing deployment complexities, influencing product development, and spearheading impactful customer-facing initiatives.Key Responsibilities Collaborate with customers to define, design, and implement AI systems that solve real-world business challenges. Build and integrate production-ready AI applications tailored to customer infrastructures. Create and present engaging demonstrations and prototypes that highlight the capabilities of our AI technology. Ensure the reliability, safety, and performance of AI agents once deployed in production settings. Gather customer feedback and insights to inform continuous product and agent enhancements.

Truveta seeks a Postdoctoral Researcher in Machine Learning to advance healthcare AI innovation. This position contributes to the company’s goal of saving lives through data-driven research, focusing on projects that combine artificial intelligence with healthcare challenges. The role is based in Seattle, WA, with flexibility for remote work. However, all postdoctoral researchers must live in the United States for the entire duration of the program. What you will work on Advance research at the intersection of healthcare and artificial intelligence Support Truveta’s mission to use data for improving patient outcomes and accelerating medical research About Truveta Truveta operates a health data platform that accelerates medical research and supports clinicians and families in making informed healthcare decisions. The platform provides access to a large collection of de-identified electronic health records, representing over 120 million patients, more than a third of the U.S. population. Researchers, clinicians, and life sciences organizations use this resource to drive clinical breakthroughs. Team culture The team includes experts from healthcare, software, and big data backgrounds. Truveta values diversity and encourages candidates who align with its core values to apply. Location requirement While remote work is supported, postdoctoral researchers must maintain residency within the United States for the full appointment period.

Join our innovative team in Seattle, where collaboration meets groundbreaking research. On-site work varies by role and team—feel free to inquire with your recruiter for specifics.We offer a competitive base salary ranging from $167,030 to $260,570, complemented by generous bonus plans for a comprehensive compensation package.About Us:The Allen Institute is a pioneering non-profit focused on advancing artificial intelligence research. We develop foundational AI technologies that create real-world impact through large-scale open models, data, and artifacts, including initiatives like Olmo, Tulu, and Molmo. Our mission is to unite the brightest minds in science and engineering to explore the possibilities of open AI, empowering researchers and developers to elevate language and generative AI models.Our research spans various domains, from pre-training and post-training language models to curating diverse datasets and innovating methodologies that advance the AI field. We rigorously evaluate AI models both theoretically and experimentally, striving to enhance their capabilities and create meaningful applications in scientific synthesis. Our goal is to develop state-of-the-art models excelling in discovery, reasoning, and factual recall.Your Profile:You are a dynamic and hands-on AI researcher with a solid background in artificial intelligence and natural language processing. Driven by a passion for research and engineering, you aim to further the field of AI and language models collaboratively and openly. You possess the initiative and enthusiasm to contribute to AI2's mission in a vibrant, fast-paced research environment. With your ability to translate complex concepts into actionable research objectives and implementation strategies, you define clear approaches, execute effectively, and communicate results with precision. Your skills will help create tangible benefits for the research community, and you are excited to be part of the evolution of top-performing open AI models.

The Allen Institute is hiring a Research Scientist in Robotics to join the Ai2 Robotics Team in Seattle, WA. This position requires working from the Seattle office, with specific on-site expectations depending on team and project needs. For questions about work arrangements, candidates should speak directly with a recruiter. Role overview This role centers on fundamental research in robotics, with a focus on foundation models. The work involves developing open methodologies, datasets, benchmarks, and models. Research Scientists here design and run practical experiments using both large-scale simulation tools and real-world robots. Responsibilities include leading research projects, mentoring interns and pre-doctoral researchers, writing scientific papers, and collaborating with peers from other institutions such as universities. The team values ambitious research and aims for significant breakthroughs rather than incremental progress. Key focus areas Robot manipulation Large-scale training in simulated environments Sim-to-real transfer Foundation models Skill learning The team regularly publishes in leading conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (NeurIPS, ICLR, ICML). Compensation Base salary ranges from $167,030 to $260,570. The total compensation package also includes generous bonus plans. About the team Led by Dieter Fox, the Robotics group at Ai2 focuses on scalable simulation domains to analyze the scaling and generalization of foundation models for robotics. The team is committed to open-source research and aims to advance the development of broadly capable robots for societal benefit.

The Allen Institute is seeking interns for its Robotics team in Seattle, WA. This full-time, 12-week research internship welcomes undergraduate, master's, and PhD students with a focus on AI-related fields. Interns are expected to work on-site at the Seattle office, though specific arrangements may vary by team. For questions about work location or flexibility, contact the recruiter directly. Role overview Interns will join a group dedicated to advancing robotics research. The work centers on tackling challenges in foundation models and robotics competencies. Projects may involve contributing to open datasets, developing benchmarks, and building resources that serve the broader robotics community. Who can apply Open to undergraduate, master's, and PhD students in AI-related disciplines Strong interest in robotics, computer vision, machine learning, natural language processing, agents, or embodied AI International applicants welcome; visa sponsorship is available Applicants should have a solid research background Internship details Full-time, 12-week program Start dates are flexible On-site in Seattle, WA Compensation Annualized compensation rates depend on current degree enrollment: Undergraduate Research Intern: $94,320 per year Master's Research Intern: $106,110 per year PhD Research Intern: $140,000 per year

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.

At FieldAI, we are revolutionizing the way robots engage with the real world. Our innovative Machine Learning team based in Seattle develops risk-aware, dependable, and field-ready AI systems that address the most challenging problems in robotics, unleashing the full potential of embodied intelligence. We adopt a practical methodology that transcends standard, purely data-driven techniques or transformer-exclusive architectures, merging state-of-the-art research with real-world applications. Our solutions have achieved global deployment, and we consistently enhance model performance through rapid refinements driven by actual field use.We are on the lookout for a talented Staff AI Software Engineer specializing in Edge Model Optimization & Deployment. In this pivotal role, you will take the lead in optimizing, integrating, and deploying our machine learning models onto real robotic platforms. You will be responsible for the entire edge inference stack, including profiling and accelerating models, enhancing runtime performance across latency, throughput, memory, and power consumption. Collaborating closely with perception, autonomy, and platform teams, you will ensure the delivery of robust on-robot behavior in real-world environments. You will set the technical direction, elevate engineering standards, and guarantee that our models operate efficiently and reliably on constrained hardware in diverse settings.This is a unique opportunity to influence the future of robotic autonomy by converting cutting-edge machine learning into high-performance, production-ready edge deployments that function reliably within complex, dynamic environments on actual robots.

Senior Backend Software EngineerJoin Read AI's innovative Backend team as a Senior Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and optimizing robust backend systems that fuel our AI-driven productivity platform. Engage in a dynamic, collaborative setting where you’ll deploy code weekly and make a substantial impact on millions of users.Complete your application with a Provn skills assessment.

At Palona, we are pioneering the integration of cutting-edge generative and multimodal AI into the hospitality sector. Our dynamic engineering team drives innovation at a rapid pace, utilizing generative AI models to create products that continually adapt and improve. In this fast-evolving landscape, traditional software excellence needs to evolve to accommodate the unique nature of AI outputs, which differ significantly from conventional software failures. This position is crucial in establishing an engineering discipline that identifies potential issues before they impact our customers.In this role, you will engage with evaluation pipelines, observability, cloud infrastructure, and CI/CD processes to enhance Palona's AI agent platform. You will blend DevOps and AI reliability, overseeing production infrastructure while developing tools that ensure optimal AI agent performance.ResponsibilitiesAs an AI Reliability Engineer, your key responsibilities will include:Creating and implementing observability systems to identify quality degradation, latency issues, and system anomalies in production, including the development of instrumentation, dashboards, and alerting mechanisms.Writing and maintaining automated tests to assess agent output quality, incorporating deterministic checks and LLM-as-judge evaluations.Developing automated release and validation systems to streamline deployments across different environments and enforce quality gates for AI-driven products.Building and refining platform infrastructure using infrastructure as code, with a strong emphasis on reliability, scalability, and cost efficiency.Enhancing evaluation pipelines that gauge AI agent conversation quality, accuracy, and safety, collaborating with product and engineering teams to refine evaluation criteria.Designing and developing internal tools and services that bolster AI reliability, evaluation, and operational workflows.Architecting new systems to tackle emerging reliability and quality challenges within the AI agent platform.Producing production-grade code for reliability and evaluation infrastructure, contributing as a software engineer rather than merely an operator.

Anduril Industries is a pioneering defense technology firm dedicated to enhancing the military capabilities of the United States and its allies through innovative solutions. By integrating the cutting-edge expertise and technology of contemporary industry leaders into the defense sector, Anduril is revolutionizing the design, manufacturing, and sales of military systems. Our platforms are driven by Lattice OS, an AI-infused operating system that seamlessly integrates vast data streams into a dynamic 3D command and control interface. As we navigate an era of strategic competition, Anduril is committed to delivering groundbreaking autonomy, artificial intelligence, computer vision, sensor fusion, and networking technologies to the military at an accelerated pace.ABOUT THE TEAMWe are looking for a Senior Threat and Attack Research Engineer to become a vital part of our Security organization. The ideal candidate will blend threat intelligence expertise with robust engineering skills to create and execute advanced systems for tracking and analyzing threat actors, ensuring the protection of Anduril's products and infrastructure.WHAT YOU’LL DOMonitor and assess sophisticated cyber threats aimed at Anduril's products, infrastructure, and personnel.Research and anticipate emerging technical trends within the threat landscape while implementing effective mitigation strategies.Collaborate closely with the detection and response team to provide timely, actionable intelligence that supports ongoing investigations.Engage cross-functionally with the offensive security team during product and infrastructure red team assessments.Enhance tools for threat actor tracking and the integration of intelligence data.Encourage proactive collaboration and information sharing with external partners to develop joint capabilities and achieve common goals.