Senior Machine Learning Engineer at Nintendo | Redmond, WA

Nintendo Technology Development Nintendo Co., Ltd., based in Kyoto, Japan, is a trailblazer in interactive entertainment. Renowned for its innovative hardware and software, Nintendo has captivated audiences worldwide with its Nintendo Switch™ system and the Nintendo 3DS™ family of portable systems. Since the launch of the Nintendo Entertainment System™ in 19…

Be a Force for Good with Axon.At Axon, our mission is to Protect Life. We tackle some of society's most pressing safety and justice challenges through our innovative devices and comprehensive cloud software. Our collaborative culture thrives on open communication and diverse perspectives from our customers and communities, as well as from each other.Working at Axon is fast-paced, challenging, and deeply rewarding. You will have the opportunity to take ownership and drive significant change, continually growing while contributing to a mission that truly matters at a company that values your contributions.Your ContributionWe are in search of a talented and forward-thinking Senior Research Scientist to join our AI team concentrating on computer vision and machine learning (CVML). In this role, you will be instrumental in developing AI solutions that enhance both enterprise and public safety, furthering our mission to accelerate justice, uphold truth, and save lives. You will push the boundaries of CVML and multimodal technology, applying your research to develop responsible AI capabilities for Axon’s products. Collaboration with product managers, engineers, and cross-functional teams will be key to training models and creating cutting-edge algorithms that facilitate intelligent understanding of visual data.At Axon, we set ambitious goals. We are visionary thinkers with a long-term perspective, as we strive to revolutionize the world into a safer and better place. If you are excited about this opportunity and our mission to Protect Life, but your experience doesn’t align perfectly with every qualification listed, we still encourage you to apply. You may be the perfect fit for this or other roles.

At Turnitin, Machine Learning is at the heart of our innovative strategies for success. We have an ambitious product roadmap, and we're looking for a Principal Machine Learning Scientist to join our global team of inquisitive and dedicated scientists and engineers. Together, we aim to develop state-of-the-art Machine Learning systems that seamlessly integrate into our extensive range of learning, teaching, and integrity products.Your role will have a significant global impact, as our solutions are used by countless instructors teaching millions of students worldwide. With billions of submissions processed through the Turnitin platform and millions of assessments graded on Gradescope and Examsoft, your work will contribute to our AI Writing detection system, automate feedback on student writing, and enhance the assessment creation and grading processes, among other critical backend functions.Key Responsibilities:As part of our applied science group with a strong focus on modern Deep Learning techniques, you will be expected to have a balanced skill set that encompasses both the scientific and software engineering aspects of (Deep) Machine Learning. Your primary focus will be on crafting innovative and deployable ML models and solutions where standard solutions may not exist. A strong grasp of the mathematics behind machine learning and deep neural networks is essential for constructing novel model architectures, loss functions, training methods, and training loops. Keeping up with the latest research advancements in AI and Deep Learning is crucial, as you will apply these insights to your work. While we utilize established training platforms, we also develop our own training processes. Furthermore, the models you create must be deployable within our products, necessitating proficiency in production-level coding and software engineering. You will handle large models, sometimes up to hundreds of billions of parameters, requiring expertise in training across multiple GPUs and nodes, along with knowledge of cutting-edge training and inference techniques. Additionally, your models must excel in production environments, balancing accuracy with computational cost. A solid background in Computer Science will be vital as you engage in dataset exploration, generation (including synthetic datasets), design, construction, and analysis, often dealing with large datasets that require efficient parallel processing pipelines. You will also have opportunities to develop and present demos, as well as publish your findings in reputable peer-reviewed journals.

Senior Product Manager – Defense Autonomy & Perception, TurbineOne Location: Remote/Hybrid (Travel as needed for field/user engagement) About TurbineOne TurbineOne is at the forefront of developing resilient, edge-first autonomy, perception, and decision support systems for the modern warfighter. Our Frontline Perception System (FPS) integrates advanced AI capabilities directly into the action, providing operator-driven, adaptable intelligence designed for the world’s most demanding defense environments. Your Mission We are seeking a strategic and product-focused leader who will collaborate across various departments—including mission teams, sales/business development, product design, and engineering—to establish a multi-year vision for decision support related to intelligence, threat recognition, autonomy, and edge AI. You will be responsible for operationalizing this vision into mission-ready releases by translating frontline user challenges, contractual signals, market trends, and sales insights into a clear product strategy. This role involves prioritizing features across the product portfolio and driving delivery and field enablement. What You’ll Do Cross-Departmental Collaboration: Act as the product management liaison among mission, sales/business development, product design, engineering leadership, technical program management, field engineering, and information security to ensure product decisions reflect operational realities, market demands, and technical limitations. Feature Prioritization: Evaluate mission impact, technical risk, customer value, and commercial/contract drivers to help prioritize features across programs and products; recommend trade-offs and sequencing. Support Engineering Decisions: Assist engineers and team leads in making design and architecture decisions by defining success criteria, documenting trade-offs (cost, complexity, schedule, field operability), and facilitating technical decision reviews. Market Intelligence: Stay informed on market and technology trends, gather competitive insights, and convert this information into strategic product direction and roadmap choices. Field-Inclusive Product Discovery: Engage deeply with operators and field engineers; synthesize field feedback, demo learnings, and “duct-tape” solutions into prioritized product work that minimizes operational friction.

About Hive Hive stands at the forefront of cloud-based AI innovations, providing transformative solutions that empower organizations to efficiently understand, search, and generate content. Trusted by some of the world’s largest and most pioneering companies, Hive delivers an extensive portfolio of pre-trained AI models that handle billions of customer API requests each month. Our proprietary AI models and datasets drive industry-leading software applications that redefine content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.Having secured over $120M in funding from esteemed investors such as General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive has a thriving workforce of over 250 talented employees across our offices in San Francisco, Seattle, and Delhi. Join us and be part of the future of AI!Machine Learning ManagerAs we strive to realize our ambitious vision, we are expanding our machine learning team and seek an inspiring leader to guide this evolution. Your role will involve nurturing the potential of each engineer, fostering a culture of innovation and excellence. We are looking for individuals who thrive on working with terabyte-scale datasets and are eager to explore new models and novel datasets. The ideal candidate will possess substantial experience in managing teams of machine learning engineers on large-scale ML projects, contribute pioneering ideas, and implement inventive modeling strategies while mentoring junior engineers on their developmental journey.

Be a Catalyst for Change at Axon.At Axon, we're committed to safeguarding lives and enhancing public safety through innovative technology. Our dedicated team explores the pressing challenges of safety and justice, harnessing the power of our devices and cloud software to create effective solutions. We thrive in an environment where collaboration and diverse perspectives lead to groundbreaking developments.Working at Axon means embracing a fast-paced and meaningful career where your contributions truly matter. Take charge of your work, drive significant change, and grow alongside a mission that makes a difference.Your Role in Advancing TechnologyWe are looking for exceptional and forward-thinking Machine Learning Scientists to join our AI team. This position focuses on cutting-edge applications in Large Language Models (LLM) and Computer Vision, applicable to our Cloud, Devices, and Robotics sectors. As a vital contributor to our research and development, you will help propel advancements in LLMs, Multimodal Language Models (MLLMs), Computer Vision, and Generative AI technologies tailored for law enforcement and other sectors. Collaborate with diverse teams to design, develop, and implement innovative models and algorithms that facilitate intelligent reasoning, perception, and understanding of multimodal data.

Join our dynamic team at Sonsoft Inc. as a C# Developer specializing in Machine Learning. This exciting opportunity allows you to leverage your programming skills while engaging in innovative projects that harness the power of AI and data science. As part of our team, you'll work collaboratively to develop robust applications and contribute to groundbreaking solutions.

Join DigitalOcean as a Senior Engineer 2 specializing in Inference Optimizations, where you'll play a pivotal role in enhancing our machine learning infrastructure. You will collaborate with cross-functional teams to develop and implement high-performance solutions that optimize inference processes. If you are passionate about building scalable systems and have a knack for solving complex engineering challenges, we want to hear from you!

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.

Founded in 2015, Shield AI is a pioneering venture-backed deep-tech firm dedicated to safeguarding service members and civilians through intelligent systems. Our innovative product suite includes the V-BAT and X-BAT aircraft, as well as the Hivemind Enterprise and Hivemind Vision lines. With a global presence spanning the U.S., Europe, the Middle East, and the Asia-Pacific, our technology actively enhances operations worldwide. For further details, visit www.shield.ai. Connect with us on LinkedIn, X, Instagram, and YouTube.This role is perfect for a dynamic individual passionate about designing advanced perception systems that empower autonomous aircraft to navigate effectively in intricate and contested environments. The ideal candidate will possess expertise in developing real-time object detection, sensor fusion, and state estimation algorithms utilizing data from various mission sensors, including EO/IR cameras, radars, and IMUs. Strong algorithmic thinking, extensive knowledge of airborne sensing systems, and the capability to deliver high-performance software in both simulation and real-world scenarios are essential.At Shield AI, we are committed to advancing cutting-edge autonomy for unmanned aircraft across all Department of Defense (DoD) domains, encompassing air, sea, and land. Our Perception Engineers play a crucial role in crafting the situational awareness that forms the foundation of autonomy, ensuring our systems can swiftly and accurately comprehend and react to the operational landscape.

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.

Join Sonsoft Inc. as a C# Developer focused on Machine Learning! We are seeking passionate individuals eager to kick-start their careers. In this role, you'll work on exciting projects utilizing C# and delve into the world of machine learning, contributing to innovative solutions.

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.

Join our team at the Allen Institute for AI in Seattle, where we are dedicated to pioneering advancements in artificial intelligence research. This position requires on-site collaboration, with specific arrangements varying by team. Inquire with your recruiter for details.Our competitive salary range for this role is between $126,000 and $189,000, supplemented by an attractive bonus structure.About You:We are seeking a talented Senior Data Engineer to enhance the data infrastructure that powers our AI research initiatives. You will significantly contribute to the Semantic Scholar corpus by expanding its scope and elevating the quality of existing data. This role involves creating scalable APIs and tools that support our AI agents in their exploration of scholarly literature.Your work will bridge data engineering with applied machine learning, allowing you to manage data pipelines, design schemas, and deploy production services while implementing practical machine learning techniques—such as entity resolution and text classification—to refine data quality and enrich metadata.About Us:The Agentic Applications team at the Allen Institute for AI is dedicated to building robust, open-source systems that facilitate scientific discovery and large-scale AI research. We focus on developing high-quality structured datasets, integrating diverse content types, and enabling applications for search, citation analysis, and model training. Our team emphasizes strong engineering practices and close collaboration with Ai2’s product and research organizations to deliver tools and infrastructure utilized by millions of researchers and developers around the globe.Your Responsibilities:Enhance the coverage and quality of the Semantic Scholar corpus, including academic papers, patents, and specialized datasets.Develop and maintain scalable data pipelines for corpus integration, citation resolution, and metadata enhancement.Implement and launch machine learning models for tasks such as entity disambiguation, author linking, and topic classification.Design and improve APIs that provide structured scholarly data for academic researchers and AI workflows.Contribute to the development of dashboards and tools that assess data quality and model performance.Work collaboratively with engineering and research teams to ensure code maintainability, test coverage, and reliable deployment.

About Carbon Robotics Carbon Robotics designs and builds the LaserWeeder™, a precision robotics system that uses computer vision, AI, deep learning, and advanced laser technology to eliminate weeds with sub-millimeter accuracy. This approach removes weeds without herbicides, helping farmers reduce environmental impact, improve soil health, and address labor shortages and rising costs. The LaserWeeder was developed in Seattle and is manufactured in Richland, Washington. Backed by $157 million in funding from investors including BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is advancing automated weed management in agriculture. Our Team and Culture We value direct action and practical problem-solving. The team turns concepts into real products, and regularly visits farms to ensure our solutions work as intended. Every team member is trusted to make sound decisions and contribute to meaningful projects. Professional growth, complex challenges, and a clear mission are part of daily work here. Connect with Carbon Robotics YouTube X Instagram LinkedIn News

Robinhood Markets, Inc. is advancing its AI capabilities to support the future of finance. The Artificial Intelligence team designs and maintains the machine learning infrastructure that powers both new features and internal improvements across the Robinhood platform. Role overview The Senior Engineering Manager, AI, will oversee the team responsible for building and scaling Robinhood’s core AI systems. This includes managing the design and rollout of machine learning models for a variety of products and internal tools. The position plays a key part in helping product and engineering teams deliver and refine AI-driven features that address customer needs. What you will do Lead the development of foundational AI and machine learning infrastructure Manage teams working on the creation and deployment of ML and AI models for both customer products and internal processes Guide the adoption and use of Large Language Models (LLMs) to create scalable solutions Influence the engineering organization’s approach to advanced modeling and developer platforms Requirements Extensive experience in software engineering Proven track record applying machine learning at scale Strong leadership background, particularly with developer-facing platform teams Strategic vision for driving AI adoption and innovation within a large organization Location and collaboration This role is based onsite in either Menlo Park, CA or Bellevue, WA. In-person attendance is required five days per week. Robinhood emphasizes in-person collaboration to accelerate progress, encourage innovation, and strengthen its community. For additional context on the evolving landscape in finance, see this report on the $124 trillion wealth transfer expected by 2048.

Machine Learning PhD Intern - Large Language Models & Generative AIAt Truveta, we are pioneering the world's first health provider-led data platform with a mission to Save Lives with Data. Our goal is to empower researchers to accelerate the discovery of cures, equip every clinician with expert knowledge, and support families in making informed health decisions. To realize this ambitious vision, we are building an exceptional team of passionate individuals with a unique blend of expertise in healthcare, software, and big data. Join us in making a significant impact.While our headquarters are located in the greater Seattle area, we embrace a remote work culture. Note that participation in the internship requires physical presence within the United States for its duration. #LI-remoteIdeal Candidate ProfileWe are on the lookout for a driven and innovative Machine Learning PhD Intern to join our AI research team, focusing on projects related to Large Language Models (LLMs) and clinical data analysis. We value problem solvers, collaborative team players, and individuals eager to take initiative and create meaningful change. If you seek an opportunity to engage in purposeful work, join a mission-driven team, and shape a fulfilling career while enjoying the journey, Truveta could be the right match for you.Internship OverviewOur Research PhD Internship is tailored for candidates who have completed their coursework and are dedicated to research for their PhD. Candidates should be nearing graduation, within one year of completing their program. We expect candidates to demonstrate independence in formulating their research direction within a specified domain, alongside the capability to devise innovative solutions for our products. Internships typically last a minimum of 10 weeks, with potential for extension based on business needs and candidate interest.

Join our innovative team at jobgether as a Senior Learning Designer. In this fully remote role, you will leverage your creative skills to design and implement engaging learning experiences tailored to our global audience. You will collaborate with subject matter experts and stakeholders to ensure that our training materials are effective, accessible, and aligned with industry standards.

Maxana is on the lookout for a highly skilled Infrastructure Engineer to join our dynamic team, supporting a confidential client in the rapidly evolving field of artificial intelligence. In this pivotal role, you will be responsible for designing, implementing, and maintaining the robust platform layer that underpins large-scale machine learning (ML) training, inference, and deployment. This opportunity allows you to make a significant impact at the intersection of cloud infrastructure and ML systems.Key ResponsibilitiesDevelop and sustain the infrastructure that supports extensive ML training and inference workloads.Engage with GPU and compute infrastructure, distributed systems, and cloud-native platforms.Enhance the reliability, observability, and performance of the platform layer.Collaborate closely with senior engineers and product teams to influence architectural decisions.Take ownership of production reliability, including monitoring, incident response, and proactive risk management.Create and maintain internal tools and automation to enhance engineering operations.

About the CompanyArmada is an innovative edge computing startup dedicated to delivering computing infrastructure to remote areas where connectivity is scarce. We aim to facilitate data processing locally for real-time analytics and AI at the edge. Our mission is to bridge the digital divide through advanced technology infrastructures that can be rapidly deployed anywhere. About the RoleAt Armada, we harness the vast potential of AI to revolutionize operations and enhance lives in some of the world's most remote locations. From the expansive Australian mines to the oil fields of Northern Canada and the coffee plantations of Colombia, we present a unique opportunity for AI Engineers to engage with exciting AI and ML challenges on a global scale. We are seeking passionate AI Engineers with hands-on experience in areas such as real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems.The ideal candidates will have robust skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for developing ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Proficiency in containerization, microservices architecture, and the capability to independently deploy ML models into production is essential.If you are a self-motivated individual with a passion for cutting-edge AI, we want to connect with you. Armada provides an unparalleled opportunity to face some of the most thrilling AI and ML challenges globally. Join our dynamic AI Engineering team as we deliver groundbreaking edge-compute systems capable of autonomous learning, prediction, and adaptation using extensive, real-time datasets.We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to interact seamlessly and securely with the complexities of the real world. In doing so, we aim to bridge the digital divide.Location: This role is office-based at our Bellevue, Washington office.