Interns 2027 I Jobs

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better. Position Summary: The National Accounts Consulting Internship experience is an 11-week full-time opportunity that starts on May 24th, 2027, and concludes on August 4th, 2027. This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in the Hartford, CT office location. The other 2 days each week will be working remotely from home, office, or another location of your choice. CVS Health's hybrid work model provides office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. Relocation assistance may be provided for candidates that qualify. As a CVS Health Corporate Intern you will participate in: • Projects that contribute to the success of our business • Community service activities • Professional development workshops • Mentorship and networking opportunities • Interaction with senior leaders The hourly rate is $26/hr with 40 hours/week, no work on July 4th (company holiday), and two days of paid leave. Additionally, our corporate interns have an increased likelihood to receive an offer for a future role with CVS Health. Sponsorship: Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs. About this Business Area: Aetna Student Health combines university-specific solutions, national provider access, student-fa

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our merchants, dashers, and consumers. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. We believe interns are essential to our mission of attracting and retaining top talent. During our 12-week Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers. The 2026 internship program will be hosted in onsite at the DoorDash office in Toronto, ON You’re excited about this opportunity because you will… Develop, maintain and ship technical elements with the support of your mentor, manager, and team members Act on feedback, coaching, and mentorship from your mentor and team members Actively learn about the elements to which you contribute Make a direct impact on our business by collaborating with your team to solve problems for our customers Participate in intern programming - Leadership Speaker series, social events – virtually and in-person Present your summer learnings during a final presentation at the end of the internship You are excited about an in person summer work experience Here are some examples of past intern projects: Collection of Summer 2024 Intern Projects Summer 2024 Intern Projects Cont. We’re excited about you because… You are pursuing a B.S. or M.S. Degree in Computer

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

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 Ever wondered what it's actually like to intern at a company millions of developers rely on? Software Engineering Interns at Sentry write real code on real projects that ship to production. No fetch-the-coffee. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK and a faster AWS Lambda extension — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay and Symbolicator ) that process millions of events every minute. This is a 12+ week hybrid technical internship that treats you like a full-time Sentry engineer — not just "an intern." You'll be paired with a manager and a dedicated team mentor, get access to social events, and wrap up the program with a final presentation to the Sentry team. Don't just take our word for it — hear it from the people who lived it. Our intern blog is full of stories from past Sentaurs about the features they shipped and the teams they joined, and more than a few of them liked it enough to come back as full-time new grads. In this role you will Be matched with one of our SDKs , Product or Ingest teams, based on your interests and experience Design, develop, and ship a programming solution that drives real values to customers Receive meaningful feedback, coaching, and mentorship from yo

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. 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: Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field You have experience building machine learning models through coursework, research, internships, or personal projects You have strong programming skills and are eager to lear

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2027 full-time start date Demonstrate strong computer science fundamentals, including data str

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software

Datadog is seeking curious, driven interns to join our Product Management team and help build products that improve how engineers monitor and understand their systems. As a Product Management Intern, you’ll work alongside Engineering, Design, and Product Marketing throughout the product development lifecycle, contributing to meaningful initiatives and real product decisions. You’ll gain hands-on experience building for highly technical customers while developing your product thinking, technical communication, and cross-functional collaboration skills. With Datadog’s platform processing over 100 trillion events per day across 30,000+ customers in a multi-cloud environment, you’ll gain direct exposure to large-scale, real-time systems built by engineers, for engineers. 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: Conduct customer discovery conversations and gather feedback to better understand user needs Drive product initiatives from concept through launch alongside Engineering, Design, and Product Marketing teams Translate customer and business needs into clear product requirements and engineering priorities Analyze customer feedback, product data, and market insights to help inform product decisions Prepare and deliver technical product demonstrations and communication materials Develop technical understanding of Datadog’s observability platform and cloud infrastructure products Who You Are: Targeting a 2027 full-time graduation Pursuing a degree in Computer Science, Software Engineering, or a related technical field Prior internship, project, or academic experience in product management, software engineering, or another product-focused technical role Exposure to B2B software product development and ability to communicate technical conc

We are looking for research interns to join our Quantitative Equity team for 4 to 8 months starting in January or May 2027. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades. As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. As an intern, you will work on a real investment research project that requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices. Y our work will have a direct impact on investment outcomes. You will own your research project from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition

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. The Innovation, Technology & Products (ITP) organization develops next-generation memory technologies and enables future Micron products. At Albany Nanotech, Micron is expanding its advanced research and development capabilities with a focus on leading-edge lithography, materials innovation, technology pathfinding, and strategic semiconductor ecosystem partnerships. This location plays a critical role in accelerating semiconductor technology development through collaboration with industry leaders, research institutions, and equipment partners. Micron is seeking highly motivated Master's or PhD students to join the Summer 2027 Semiconductor Technology Development Internship Program in Albany, New York. Interns will contribute to advanced semiconductor research projects supporting future memory technologies and process innovations. This internship provides hands-on experience working alongside engineers and researchers in a world-class semiconductor R&D environment. Interns will analyze technical challenges, develop innovative solutions, and present project outcomes to technical leadership at the conclusion of the program. Responsibilities Support semiconductor research and development activities by designing experiments, collecting data, and evaluating results to advance future technology capabilities. Analyze technical and process data using statistical methods to identify trends, solve engineering problems, and develop actionable recommendations. Collaborate with multi-func

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 Ever wondered what it's actually like to build a career at a company millions of developers rely on? Software Engineers at Sentry write real code on real projects that ship to production. No busywork, no "prove yourself first" purgatory. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK and a faster AWS Lambda extension — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay and Symbolicator ) that process millions of events every minute. New grad hires are rad hires. Our onboarding is built to set you up for long-term success from day one — comprehensive training, dedicated mentorship, social events, and a built-in community of peers who started right alongside you. (There are also snacks. The good kind.) Many of our new grads started out as interns here first — read the stories from Sentaurs who liked it enough to come back full-time. In this role you will Be matched with one of our SDKs , Product or Ingest teams, based on your interests and experience Design, develop, and ship features and systems that drive real value to customers Own projects end-to-end, from design through production Receive ongoing feedback, coaching, and mentorship from your manager and teammates You'll love this job if you Want to be

JOB RESPONSIBILITIES A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact. You will gain exposure to a variety of activities, which may include: Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application. Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. Analyzing very large data sets to extract features useful for predictive models. Providing research assistance to the team. Helping improve the team’s research infrastructure. DESIRABLE CANDIDATES Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines. Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets. Strong analytical and quantitative skills, and detail-oriented mindset. Proficient in Python or C++, and Linux environment. Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment. Willing to take ownership of his/her work, working both independently and within a collaborative team. Prior experience in the financial services industry is not required. Commitment to the highest ethical standards. The annual base salary range is $120000.00-$180000.00&n

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. Join the Institutional Operations Solutions (IOS) team within the Institutional group as a Institutional Operations Intern. This team manages risk and delivers operational solutions across Coinbase’s Institutional organization, supporting a broad range of teams and functions that help scale the institutional business. You'll work cross-functionally with internal stakeholders and institutional clients, tackling real operational challenges. What you'll do: Support day-to-day IOS operations while identifying and managing operational risk across compliance and regulatory requirements Identify opportunities to improve existing processes and risk management capabilities, recommending solutions backed by data analysis Partner with Product, Engineering, and other cross-functional stakeholders to build technology solutions that support institutional operations at scale Analyze data sets and deliver recommendations grounded in sound quantitative reasoning Collaborate with fellow interns on a group project solving a real business problem, presenting findings and solutions to the leadership team Required Skills and Experience: Currently pursuing a degree or certificate in business, management, finance, accounting, or a related discipline Demonstrated problem-solving ability with capacity to identify second-order effects and

About BlockTech BlockTech is a fast-paced algorithmic market maker facilitating global derivatives and spot trading, originating from crypto markets and expanding into new markets. We trade our own capital on systems that run 24/7 and have to be fast and correct without exception. Our systems run on Linux and are written in Rust and Python. For the Summer of 2027, we're looking for Software Engineer Interns to join our engineering team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a project from design to deployment guided by experienced software engineers. Work with production-level data and systems Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year studying computer science or a related discipline at a top university in Europe Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting with 5th of July Proficiency in a systems language (ideally Rust and/orC++) and working knowledge of Python A solid grasp of data structures, algorithms, and what actually makes code fast A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time software engineers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading using state-of-the-art technology, in an envi