Machine Learning Intern Co Op Jobs

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We believe Plaid has the power to be the next-gen Credit Bureau - supporting large scale adoption of cash flow into the credit underwriting process. The Credit Decisioning platform team is responsible for building best-in-class cashflow based insights products that enable lenders to make more holistic lending decisions and empower broader access to Credit products for prospective borrowers. We own the systems and tooling that form the platform to build and serve these insights at huge scale, partnering with our Data partners to release new products yearly. You will be defining the future architecture of Credit insights products and executing against an ambitious product roadmap. You will partner with our Product, Data Science, and Machine Learning team to iterate on and productionize new insights that enable our customers to make more holistic lending decisions. Responsibilities: Leading technical architecture and execution across credit insights products: everything from data fetching and online feature serving for API requests, to offline production pipelines and tooling for model training. Scaling and evolving the architecture through an expected ~100x increase in load from det

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability Own research problems end to end, from framing the question through experimentation, model development, and evaluation Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling You have driven technically ambitious research at meanin

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. As a Lead, PCVD Equipment, you will lead a team of equipment engineers responsible for improving manufacturing capability through equipment performance, yield improvement, throughput optimization, and quality excellence. You will set strategic direction, develop team capabilities, and collaborate with manufacturing, facilities, technology development, and global partners to achieve business objectives. This is a great opportunity to influence fab performance at scale while building a high-performing engineering organization. Responsibilities: Lead and develop a team of equipment engineers to achieve manufacturing, quality, output, and cost objectives Define team strategy, establish performance goals, and allocate resources to support business priorities Drive equipment optimization initiatives to enhance yield, throughput, and operational efficiency <

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Manager at Micron Technology, Inc. in the Cloud Memory Business Unit (CMBU), you will be charged with driving execution of the products in high bandwidth memory (HBM) portfolio that will position Micron for success in growing the Artificial Intelligence (AI), Machine Learning (ML) and High-Performance Computing (HPC) business segments. You will be working on leading-edge technologies to enable next generation high bandwidth memory (HBM) products and drive customer focused innovation. You will lead a cross-functional team of key representatives from multiple engineering, marketing, and operations teams to ensure the execution of product is aligned to spec within a specific timeline and budget. You will assist the Product Management team in defining the strategy and vision of the product portfolio and drive the execution focused Stage Gates when necessary. Ideal candidates are ambitious leaders with a strong Business plus Engineering background and analytical skills who “own” all aspects of the execution and possess good communication skills to drive the cross functional team towards the business goals. Products managers in this role will be self-starters with a can-do attitude who can apply their critical thinking ability to drive the best possible outcome. Responsibilities: Develop and drive product strategy, roadmap planning, and requirements definition for next-generation HBM solutions targeting AI, HPC, and cloud infrastructure markets Partner with customers, hyperscal

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In the Technology - Advanced Modeling and AI Solutions (AMAIS) Group in Hyderabad, you will work in a multi-functional team of engineers highly skilled in the modeling of process, equipment, structures, and materials. This team’s primary responsibility is to support and enable solutions to Micron’s most significant challenges in Memory development and manufacturing. Your role will be to work on a project that directly supports one of our group’s critical programs. This project will involve materials or structure or process modeling. You are expected to work in a dynamic and fast-paced team environment developing models and reporting results to the AMAIS team and collaborating with them on next steps. This position seeks individuals that can code, implement, and utilize numerical models. You will interact with process engineers and development teams to identify questions and issues hindering the node development milestones. Additionally, you will create software programs, algorithms, and computational modeling tools to extract concrete insights from modeling and data. You will interpret and convey these insights and findings from models and experiments to engineering teams and leaders. You will be responsible for predictive structure modeling across multiple DRAM and NAND nodes. The modeling engineer will collaborate extensively with product design and process teams for structure model development, deployment, and providing solutions to be implemented on Silicon. Qualifica

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. What You’ll Do Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. Make internal developer systems accessible through APIs and build integrations enabling a

ABOUT CAPCO Capco, a Wipro company, is a global management and technology consultancy specialising in driving digital transformation across the financial services industry. Operating at the intersection of business and technology, Capco combines innovative thinking with unrivalled industry knowledge to fast-track initiatives for banking and payments, capital markets, wealth and asset management, and insurance. Our ingenuity is brought to life through our Innovation Labs, award-winning Be Yourself at Work culture, and a diverse, talented team across more than 30 offices worldwide. ROLE DESCRIPTION Every consequential moment in financial services — approving a policy, extending credit, flagging a transaction, recommending a portfolio — is a decision. The best financial institutions do not leave those decisions to chance, intuition, or inconsistent human judgement. They engineer them: combining predictive analytics, business rules, and optimisation into decision services that are fast, consistent, auditable, and continuously improving. That discipline is Enterprise Decision Management. As an AI Specialist in Enterprise Decision Management, you will lead the design and delivery of intelligent decision automation solutions for Capco's financial services clients across Asia. You will help clients move beyond point-in-time analytics and disconnected AI engines toward closed-loop decision systems: where predictive models inform rules, rules govern actions, outcomes are measured, and both models and rules are continuously refined as a result. This role demands genuine depth across the full AI and decision management spectrum — from classical techniques such as expert systems, case-based reasoning, and scorecards, through to modern machine learning, optimisation, and large language model integration. We are not looking for generalists who discovered AI in the last few years. We are looking for practitioners who have spent a career building, deploying, and improving intelligen

Become a part of our caring community Humana is seeking a self-driven and collaborative Lead Engineer to join our Interactive Voice Response (IVR) team. In this role, you will deliver innovative IVR solutions and develop robust omnichannel APIs for our enterprise platforms. You will have the opportunity to drive the success of a high-impact, customer-facing application within a Fortune 50 company, working closely with multiple teams throughout the software development lifecycle (SDLC). Lead Engineer –Omnichannel Humana is seeking a self-driven and collaborative Lead Engineer to join our Omnichannel team. In this role, you will design, develop, secure, and enhance enterprise APIs that support high-impact, member facing, applications across Humana's digital and voice channels. This role offers the opportunity to modernize and strengthen existing API capabilities while helping deliver resilient, scalable, and secure omnichannel solutions within a Fortune 50 organization. Key Responsibilities Design, develop, and maintain scalable Omnichannel APIs that support enterprise applications and customer-facing capabilities. Enhance the security, resiliency, performance, and reliability of existing APIs through modernization, improved architecture, observability, testing, and operational controls. Apply AI and AI-assisted engineering practices to accelerate development, improve quality, automate testing, enhance documentation, and identify opportunities for optimization. Partner with architecture, security, cloud, product, engineering, and operations teams to deliver secure, resilient, and enterprise-aligned API solutions. Collaborate with agile teams to plan, track, and deliver API enhancements, platform improvements, and cloud-based capabilities. Develop proofs of

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking experienced engineers for Principal, MTS, and SMTS roles. The level at which candidates are hired will be determined by their years of experience, demonstrated technical depth, and overall qualifications Principal Photonics Integration Engineer The Advanced Packaging Technology Development (APTD) team is shaping the future of memory, storage, and photonics technologies that power AI, high-performance computing, and next-generation data infrastructure. We collaborate across research, device, process, packaging, and manufacturing organizations to develop innovative solutions that move quickly from concept to production. Join a team where technical challenges are complex, innovation is constant, and your work will directly influence Micron's technology roadmap. As a Principal Photonics Integration Engineer, you will lead the development and integration of silicon photonics and heterogeneous integration technologies that enable high-performance optical connectivity solutions. This role combines process integration, advanced packaging, device development, and program leadership to bring new technologies from concept through manufacturing readiness. You will work across multidisciplinary teams to solve complex technical challenges while employing AI-enabled engineering tools to accelerate development and improve decision-making. Responsibilities: Develop an

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. For more than 47 years, Micron Technology, Inc. has redefined innovation with the world’s most advanced memory and semiconductor technologies. We’re an international team of visionaries and scientists, developing groundbreaking technologies that are transforming how the world uses information to enrich life for all. Become an Engineer CAD at Micron Technology in Guadalajara. Chip in to innovative memory designs impacting HBM, DRAM, and new technologies. Responsibilities: Provide day-to-day support for CAD tools, flows, and collateral, ensuring they meet the needs of HBM design teams at the Guadalajara Design Center. Collaborate closely with HBM design, layout, and verification methodology teams to propose and co-develop sophisticated capabilities, ensuring the deployment of outstanding practices and methodologies. Support all aspects of mixed-signal, transistor-level custom IC design, including logical design, custom layout, parameterized cells, automated place and route tools, physical design verification, ERC, Layout Parasitic Extraction, pre and post layout netlisting and simulation, digital and analog circuit simulation, timing and power analysis, reliability simulation and analysis, tape out, and mask generation. Minimum Qualifications: Bachelor’s or preferably a Master’s/PhD in Computer Engineering, Computer Science, or Electrical Engineering. 5&#43; years of direct CAD or Design experience in mixed-signal, custom IC design flows. Proven experience w

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Overview As a Staff/Senior Process Development Engineer within PDE-CEM, you will leverage advanced semiconductor process characterization, failure analysis, yield analytics, and process integration expertise to accelerate product and technology development. The role focuses on developing robust assembly processes, improving yield and reliability, supporting New Product Introduction (NPI), and utilizing data-driven methodologies to optimize manufacturing performance. The ideal candidate combines strong semiconductor physics knowledge, advanced characterization skills, yield improvement experience, and cross-functional leadership capability to drive continuous process innovation and manufacturing excellence. Key Responsibilities Process Development & Characterization Develop and optimize Process of Record (POR) for assembly and packaging technologies. Establish process windows, process capability targets, and characterization strategies. Apply statistical methodologies including DOE, SPC, JMP, and Six Sigma to characterize and optimize manufacturing processes. Drive early process learning through advanced characterization and failure analysis techniques. Yield Improvement & Problem Solving</

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The CVD Central Process and Equipment Engineering (CPEE) High Volume Manufacturing organization is seeking a highly motivated engineer to drive manufacturing excellence, equipment performance, and network-wide productivity across Micron's global semiconductor fabrication facilities. This role is responsible for developing and executing manufacturing strategies that improve equipment capability, factory output, cost competitiveness, and technology readiness while leveraging advanced analytics, digital manufacturing solutions, and AI-enabled tools to accelerate decision making and operational improvements. The successful candidate will work closely with global manufacturing teams, technology development organizations, and strategic equipment suppliers to define long-term equipment and manufacturing roadmaps, identify future capability requirements, and accelerate deployment of innovative solutions across the Micron network. This position provides a unique opportunity to influence manufacturing strategy, shape supplier development priorities, and drive competitive advantage through advanced equipment and manufacturing solutions. Strategic Manufacturing & Supplier Leadership •Develop and drive long-term manufacturing and equipment capability roadmaps to support future

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: Own the development, qualification, and deployment of advanced metrology applications for 3D NAND process development, with primary emphasis on Focused Ion Beam (FIB) and one or more of the following: Atomic Force Microscopy (AFM) Optical interferometry or White Light Interferometry (WLI) Scanning Electron Microscopy (SEM) Semiconductor electrical or non-contact characterization methods Develop and implement innovative metrology solutions utilizing FIB, AFM, SEM, and related characterization techniques to close inline detection gaps and accelerate process learning. Lead the evaluation, qualification, and deployment of next-generation metrology systems and First-of-a-Kind (FOAK) technologies, including assessment of measurement capability, accuracy, repeatability, throughput, automation, and manufacturing readiness across FIB, AFM, SEM, and other advanced metrology platforms. Establish and drive technology roadmaps, ensuring alignment with future NAND technology requirements while fostering strong technical partnerships with equipment suppliers and industry collaborators. Identify and develop modeling opportunities using metrology, defect detection, artificial intelligence (AI), and machine learn