Machine Learning and Artificial Intelligence Research Intern

Oleria Security seeks a Machine Learning and Artificial Intelligence Research Intern for its Bellevue, WA office. This internship centers on projects at the intersection of AI and security, where academic concepts meet practical application. Interns join experienced engineers and researchers to address current security challenges using advanced machine learning methods. Role overview Contribute to projects that use machine learning and AI to solve security-related problems Work closely with team members to design, develop, and test new techniques Build practical skills with tools and methodologies common in the field Learning and development Direct experience applying AI and machine learning within a security context Opportunities to put academic learning into practice on real-world problems Collaboration with a team focused on technology and research

Be Part of the Financial Revolution.At Robinhood, our mission is to democratize finance for everyone. With an estimated $124 trillion in assets expected to be transferred to younger generations in the next two decades, we find ourselves at the forefront of the largest wealth transfer in history. If you’re ready to shape the future of finance, we want to hear from you.About the Team and RoleJoin our elite team working with cutting-edge technologies to tackle some of the most significant challenges in the financial sector. We seek innovative thinkers and sharp problem-solvers who thrive on making a meaningful impact. At Robinhood, complacency has no place; we empower ambitious individuals to achieve the best work of their careers. Our high-performing and fast-moving team upholds ethics at the core of our operations, and we believe that high expectations lead to high rewards.The Agentic AI team is dedicated to developing intelligent AI systems that enhance customer experiences across Robinhood's range of products. Our focus is on streamlining the deployment of agents with tailored models while empowering other teams to create, assess, and refine their agents. You will be pivotal in cultivating a culture rooted in first-principle thinking, peak performance, and a strong emphasis on customer satisfaction!As a Staff Machine Learning Engineer (IC6), you will set and maintain high standards for agentic systems throughout the organization. Your responsibilities will include designing evaluation frameworks, guiding model selection, and collaborating with product, data science, and engineering teams to ensure that our systems meet rigorous standards for accuracy, safety, responsiveness, and user satisfaction. Your contributions will fundamentally influence the development, assessment, and enhancement of agentic systems across Robinhood!This position is located in Bellevue, WA or Menlo Park, CA, with an expectation of in-office attendance at least three days a week.At Robinhood, we recognize the significance of in-person work in accelerating progress, igniting innovation, and fostering community. Our office environment is thoughtfully designed to be invigorating and fully supportive of high-performing teams.

Unity Technologies is seeking a Staff Machine Learning Engineer to focus on Offline Infrastructure in Bellevue, WA. This role centers on building and strengthening offline capabilities for machine learning systems, supporting users who depend on Unity’s technology without constant online connectivity. Key responsibilities Design and implement scalable infrastructure for offline machine learning workflows Collaborate with engineering, product, and cross-functional teams to deliver robust solutions Drive improvements and explore new approaches for machine learning at Unity Role focus This position emphasizes technical leadership in developing systems that function reliably without continuous internet access. The work directly impacts users who need Unity’s tools to perform seamlessly in offline scenarios.

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.

About the CompanyArmada is an innovative edge computing startup dedicated to providing robust computing infrastructure in remote regions where connectivity is sparse and cloud resources are limited. We focus on areas where local data processing is essential for real-time analytics and AI operations at the edge. Join us in our mission to eliminate the digital divide through advanced technology solutions that can be deployed swiftly anywhere. About the RoleWe are on the lookout for a passionate AI Intern to join our dynamic AI/ML team and assist in groundbreaking projects within the realms of artificial intelligence and machine learning.Location: This position is On-site at our Bellevue, Washington office.Key ResponsibilitiesAssist in the construction, training, and optimization of machine learning models.Research AI trends, tools, and methodologies.Engage with large datasets for preprocessing, cleaning, and feature engineering tasks.Optimize and assess model performance using various evaluation metrics.Support team members in deploying and integrating models into applications.Document scripts, workflows, and processes effectively.Collaborate with interdisciplinary teams, including data engineers and software developers.Stay abreast of the latest advancements in AI and relevant research publications.

Armada develops full-stack edge infrastructure to deliver compute, connectivity, and sovereign AI/ML capabilities in remote regions worldwide. The company’s technology is active in over 60 countries, serving clients in sectors such as energy and defense. With backing from Microsoft (M12), Founders Fund, and partners like Starlink, Skydio, and NVIDIA, Armada has raised over $200 million to advance its mission. The team emphasizes ownership, autonomy, and meaningful impact, focusing on bridging the digital divide for a global customer base. This AI Intern position is based on-site at Armada’s Bellevue, WA office within the Sunset Corporate Campus. The role is part of the AI/ML team and centers on hands-on projects in artificial intelligence and machine learning. What you will do Assist with developing, training, and fine-tuning machine learning models. Research current trends, tools, and methodologies in AI. Preprocess, clean, and engineer features from large datasets. Evaluate and optimize model performance using appropriate metrics. Work with the team to deploy and integrate models into real applications. Document scripts, workflows, and processes in a clear manner. Collaborate with data engineers, software developers, and other teams to support project goals.

Are you ready to transform the advertising landscape? At Cognitiv, we are more than just an AdTech company; we are pioneers reshaping media buying through our state-of-the-art Deep Learning Advertising Platform. Since 2015, we have leveraged advanced deep learning technology and data science to redefine how brands engage with their audiences. Our mission is to infuse intelligence into advertising, delivering unmatched precision, relevance, and impact at scale. With our innovative platform, advertisers benefit from exceptional flexibility, whether it’s activating Dynamic Deals via their chosen DSP, utilizing our managed service DSP, or engaging with our revolutionary ContextGPT product. Joining Cognitiv means you'll be at the helm of AI-driven advertising solutions, influencing change and fostering remarkable growth in this dynamic sector. We are expanding our team!The RoleWe are on the lookout for one of the industry's finest ML inference engineers—an individual eager to architect and scale a pioneering inference system that will serve as the backbone of Cognitiv’s ML-driven products.In this pivotal role, you will shape the concept of inference at Cognitiv and lead collaborative efforts across the organization to bring this vision to fruition. You will develop performance-critical systems facilitating real-time decision-making for some of the world’s leading brands while contributing to the future of AI in AdTech.This position is foundational and high-impact, presenting a unique opportunity to construct both the system and the team around one of the company’s most strategic technical pillars.What You’ll DoBuild Production AdTech Systems: Design and implement robust software and infrastructure that supports large-scale machine learning models in real-world production settings.Optimize for Performance at Scale: Enhance throughput and latency using a combination of industry-standard frameworks and bespoke solutions tailored to Cognitiv’s requirements.Set the Vision & Influence Execution: Establish the technical direction for inference projects, articulate a clear vision, and motivate teams across the company to align and execute accordingly.Bridge Research to Production: Identify long-term risks and emerging technical innovations, collaborating closely with Research, Product, and Engineering teams to translate ML capabilities into tangible business outcomes.

Be a Part of the Financial Revolution.At Robinhood, our mission is to democratize finance for everyone. With an anticipated transfer of $124 trillion in assets to younger generations over the next 20 years, we are positioned at the forefront of this monumental opportunity. If you are eager to contribute to this transformative shift in culture and finance, we want to hear from you.About the Team and RoleWe are assembling an exceptional team dedicated to tackling the most significant challenges in the financial sector using cutting-edge technologies. We seek innovative thinkers, adept problem-solvers, and proactive builders who are motivated to drive meaningful change. Robinhood is not a place for the complacent; it's where ambitious individuals achieve extraordinary results in their careers. Our team operates with high performance in mind, guided by strong ethical principles. The standards are elevated, and so are the rewards.The Agentic team at Robinhood is focused on developing and deploying advanced AI agents that will power the next generation of financial products. Our goal is to swiftly construct, assess, and implement high-functioning AI agents on robust production infrastructures, incorporating thorough evaluations and continuous optimization.This position is based in our Menlo Park, CA and Bellevue, WA offices, with a requirement for in-person attendance at least three days per week.

The Trade Desk is a pioneering global technology company dedicated to enhancing the internet through principled and intelligent advertising. Our platform processes over 1 trillion queries daily, operating at an unparalleled scale. We've cultivated an award-winning culture rooted in trust, ownership, empathy, and collaboration. We celebrate the unique experiences and perspectives of each individual at The Trade Desk and are committed to creating inclusive environments where everyone can be their authentic selves. Are you passionate about tackling complex problems at scale? Do you want to join a vibrant, globally-connected team where your contributions will significantly impact the media ecosystem? Discover why Fortune magazine consistently ranks The Trade Desk among the best small to medium-sized workplaces worldwide. As a Senior Software Engineer, you will take ownership of the end-to-end development process, engaging in various aspects of designing, building, and delivering data-driven products for our stakeholders. At The Trade Desk, we emphasize quality in building the back-end infrastructure of our platform. Whether we’re developing components for client-facing applications, crafting internal solutions for our teams, or creating model pipelines for bidding optimizations, we ensure that our infrastructure, tools, and development practices are top-notch and efficient. Our systems operate continuously, managing global traffic. We thrive in a collaborative environment, utilizing a diverse range of technologies. Our back-end engineers focus on solving algorithmic, optimization, and scalability challenges in all our endeavors.

For over two decades, Smartsheet has empowered teams and individuals to achieve remarkable outcomes. Our innovative solutions enhance work management and provide scalable tools that facilitate automation, insight generation, and efficient scaling. We are committed to fostering an environment that encourages bold thinking, decisive actions, and focuses on impactful work. At Smartsheet, we believe that the intersection of challenge and purpose, paired with passion, creates transformative results, and we strive to embody this ethos every day.The UX Research (UXR) Team at Smartsheet spearheads essential research initiatives to equip our Product Design partners with valuable insights that guide informed design decisions. Our work extends beyond project-specific findings, informing cross-functional product development and alignment. We are a driven, detail-oriented team passionate about enhancing products, understanding people, and uncovering overarching insights.Our researchers come from a wide array of both traditional and unconventional backgrounds, employing diverse methodologies, human-centered design principles, and cognitive understanding to craft engaging, intuitive, and valuable user experiences. As a vital member of the User Experience team, you will play a crucial role in shaping the future of work.

At The Trade Desk (TTD), our data scientists are integral to the entire product lifecycle, collaborating closely with engineering teams from the initial ideation phase through to production and ongoing monitoring. As end-to-end owners of our projects, you will engage in all facets of designing, researching, building, and delivering innovative data-driven solutions for our clients and traders.We are in search of a Senior Data Scientist who will spearhead the design, development, and scaling of data solutions that will enhance our forecasting, pacing, and recommendation systems across emerging channels. You will create advanced machine learning and deep learning models that significantly impact planning, allocation, and performance within our platform.Your key responsibilities will include:Developing forecasting models using statistical methods, machine learning, and deep learning techniques.Building and optimizing pacing algorithms that effectively balance immediate performance with long-term goals and constraints.Creating custom solutions tailored to our unique environment, where standard models may not provide effective scalability.Collaborating with product teams to align business objectives with actionable data science initiatives.Working hand-in-hand with engineering teams to transition models from prototype to production, ensuring seamless integration with our products.Defining success metrics, conducting offline evaluations, and running online experiments (A/B testing) to assess business impact.Clearly communicating technical results and trade-offs to both technical and non-technical stakeholders.

Join StemXpert as a Senior Business Intelligence Project Manager, where you will lead transformative projects that drive data-driven decision-making across the organization. You will collaborate with cross-functional teams to ensure successful project delivery while maximizing the potential of our business intelligence tools.

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.

Iterative Health advances clinical research with a focus on therapies for gastrointestinal and liver-related conditions. With a network of more than 80 research sites across the US and Europe, the company supports partner locations through technology-driven services, clinical trial expertise, and AI tools. The goal: help bring new treatments to patients and improve outcomes. Role overview The Clinical Research Coordinator I is a full-time, onsite position in Bellevue, WA. This role supports the daily operations of clinical trials, helping to keep studies organized and on track. Coordinators play a key part in ensuring research activities meet all requirements for successful execution. What you will do Manage and organize daily clinical trial activities at the site Coordinate study logistics and provide support to research staff Help maintain compliance with study protocols and regulatory guidelines Assist with documentation and data collection required for each study Location This position is based in Bellevue, WA.

Join UiPath as a Principal Applied Scientist - AIAt UiPath, we are champions of automation, revolutionizing the way businesses operate through innovative enterprise software solutions. Our team's passion for curiosity, generosity, and authenticity drives us forward in this dynamic environment.Are you ready to make a significant impact?As a Principal Applied Scientist at UiPath, you will spearhead advancements in machine learning, laying the groundwork for groundbreaking product developments. This pivotal leadership role melds applied research, engineering, and strategic insight, allowing you to shape the trajectory of our cutting-edge ML projects.We are on the lookout for a scientist who has demonstrated success in leading influential research and implementing pioneering machine learning systems at scale. A deep curiosity about AI and ML, a commitment to innovation, and a passion for addressing real-world automation challenges are essential for this role.The ideal candidate should possess extensive experience in designing and executing sophisticated experiments, developing high-performance ML systems, and mentoring teams. We highly value collaboration, humility, technical excellence, and a proactive approach to problem-solving.Background:This position is within the UiPath advanced machine learning research group, focused on creating large multi-modal models that mimic human software interaction. Our goal is to expand the horizons of AI in the quest for effective general intelligence for enterprise automation.Your Responsibilities:Direct the design and implementation of state-of-the-art machine learning and deep learning systems for practical applications.Drive innovation in NLP, NLU, NLG, computer vision, and multi-modal learning to achieve significant advancements in software automation.Define and guide the strategy for scalable ML infrastructure and the transition from research to production.Design experiments, perform comprehensive benchmarking, and analyze large datasets to assess and enhance model performance.Collaborate extensively with engineering, product, and research teams to effectively integrate ML solutions into UiPath offerings.

Join our dynamic team at Stemxpert1, where we are dedicated to delivering top-notch solutions in the telecommunications sector. We are seeking a detail-oriented Quality Assurance (QA) Tester specializing in ETL (Extract, Transform, Load) and Business Intelligence (BI) to ensure the highest quality in our data processes and analytics. In this role, you will be responsible for testing and validating ETL processes, conducting thorough data quality assessments, and collaborating with cross-functional teams to enhance our BI solutions.

Join Sono Bello as an IT Helpdesk Intern, where you will play a crucial role in supporting our technology infrastructure. As a key member of our IT team, you will assist in troubleshooting technical issues, providing exceptional customer service, and maintaining our systems. This is a fantastic opportunity to gain hands-on experience in IT support while working in a dynamic environment.

Join our dynamic team at dstaff as a Senior Internal Auditor. In this pivotal role, you will lead audits that assess risk, ensure compliance, and enhance internal controls. Collaborate with cross-functional teams to provide insights that drive operational excellence.

Join Sonobello as a People Operations Intern and gain invaluable experience in the field of human resources. This internship offers a unique opportunity to work closely with our People Operations team, assisting in various HR functions and gaining insight into our company culture.You will be involved in supporting recruitment efforts, onboarding new team members, and contributing to employee engagement initiatives. This role is perfect for someone eager to learn and grow in a dynamic environment.

Join UiPath: Pioneers in AutomationAt UiPath, we harness the transformative potential of automation to redefine the way the world operates. Our commitment lies in developing industry-leading enterprise software that unleashes this potential.We seek individuals who are inquisitive, driven, collaborative, and authentic—those who thrive in a dynamic, rapidly evolving environment and are passionate about our mission.Are you one of them?As a Principal Applied Scientist, you will spearhead the design, research, and implementation of cutting-edge Machine Learning systems, seamlessly integrating deep research with large-scale deployment to shape the future of enterprise automation.Key Responsibilities• Develop and drive the technical vision for agent-based automation, focusing on how autonomous agents utilize LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to enhance the UiPath platform.• Design, prototype, and implement advanced ML and AI systems, including LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems.• Oversee the development and execution of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems.• Collaborate extensively with product, engineering, design, and go-to-market teams to translate innovative research into customer-facing solutions.• Investigate leading-edge techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, applying them to automation workflows.• Establish best practices, frameworks, and metrics for evaluating agentic systems, encompassing offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and analyses of cost, latency, and quality.• Act as a technical leader and mentor across ML engineering, data science, and software engineering, promoting a culture of experimentation, reproducibility, version control, and thorough evaluation.• Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academic and ecosystem partners.