Systems Research Engineer Intern Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : At ZipRecruiter, we sit on a massive universe of data—over a billion archived job postings, tens of millions of dynamic job seekers, and billions of impressions, clicks, and application events. Connecting the right job seeker with the right employer in real time is a complex two-sided marketplace problem , where precision, scale, and latent intent prediction directly impact millions of lives. We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation Systems, you will be a core partner in shaping our multi-year ML roadmap, driving foundational algorithmic architecture, and translating complex machine learning research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers across the organization and establish best practices for how ML models are built, deployed, and evaluated at scale. Key Responsibilities & Strategic Impact Drive ML Strategy & Roadmap: Partner directly with Engineering and Product Leadership to define and execute the technical vision for core components in the marketplace, including but not limited to recommendation engines and matching alg

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 & Task : Plan, design, and analyze costs of network (wired and wireless), voice, data, and video infrastructure for mergers, acquisitions, and new/existing site construction or expansion. • Determine the needs of the site (bandwidth, network, etc.). • Research new equipment based on needs and end of life for the equipment based on the IT Roadmap. • Minimize the cost of new equipment within budget constraints. • Analyze, compare, and determine the cost of implementing new technology or services. • Participate in the project planning process. • Determine, recommend, and coordinate needed equipment (routers, circuits, concentrators, switches, servers, etc.). • Define the timeline for interaction with vendors, service providers, and business units for integration of services and systems. • Integrate the current design of previously existing network into the Micron enterprise network. • Coordinate and facilitate the integration and support for new equipment. • Optimize the performance of new equipment. • Determine equipment that needs to be retired and the replacement. • Work with the global network teams to incorporate Micron standards and best practices into local site network builds. • Collab

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s Design organization builds the product and brand experiences that millions of businesses and developers rely on. We’re a cross-functional, global organization of product designers, content designers, design researchers, design systems engineers, motion designers, and design program specialists. Our mission is to make economic infrastructure simple and accessible. Design plays a central role by making complex flows understandable, crafting clear product language, and building consistent systems that scale. The Design Operations team leads Design’s business operations, runs cross-organizational programs, and builds the systems that help teams collaborate and produce high-quality work. Design Program Managers guide complex programs through the design lifecycle and apply design thinking to our operating model. They prototype and iterate on how our team works. We’re looking for a Design Program Manager to partner with the Research team. This full-time role reports to the Head of Design Operations. What you’ll do Responsibilities Lead and build programs for the Research organization. Develop and implement processes and resources that support impactful research and scale the use of user insights across Stripe. Improve our operating model and processes, including automating tasks, improving workflows, and developing repeatable methodologies. Measure the impact of these changes. Prepare researchers to use agentic workflows, including des

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. Understand the LPDRAM state machine and develop the hardware models for DRAM features and the related validation test bench. Develop memory controller models, including request scheduling and address mapping to enable new DRAM features. Develop the automation test scripts using Python to improve the overall simulation methodologies. Develop new DRAM technology changes per the spec and the state machine and the validation test bench. Develop system engineering, software engineering, system integration, or distributed system architectures. Identify system data, hardware, or software components required to meet user needs. Communicate with staff or clients to understand specific system requirements. Research, test, or verify proper functioning of software patches and fixes. Provide advice on project costs, design concepts, or design changes. Communicate project information through presentations, technical reports, or white papers. Design and conduct hardware or software tests. Establish functional or system standards to address operational requirements, quality requirements, and design constraints. Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements. Employer will accept a Master's degree in Electronics Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field. Position requires: 1. C/C++ or Python; 2. Debugging interfaces, including GDB and PDB; 3. LPDRAM technology; 4. Computer Architecture; 5. Memory controller

About the Team We're building the foundation for a new kind of AI coworker: persistent agents that have their own environments, can meet people wherever they work, and continue making progress for as long as a task requires. Our goal is to help individuals, teams, and organizations delegate meaningful work to AI—not just ask questions or complete a single turn. Our work brings together product, agent, and infrastructure capabilities across OpenAI. Together, we are creating always-on virtual coworkers that can carry context across tasks, operate through the right tools and channels, and deliver reliable results in real workplace environments. About the Role We’re looking for a full stack product engineer to shape how people discover, direct, and collaborate with AI coworkers. You’ll own product experiences end to end, spending roughly equal time building intuitive frontend surfaces and the backend systems that make agentic workflows persistent, reliable, and useful. You’ll work at the intersection of product engineering, design, agent capabilities, and enterprise readiness—turning rapidly evolving model and platform capabilities into experiences customers can understand, trust, and use every day. In this role, you will: Design, build, and ship full stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers. Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on the work they produce. Build backend APIs, services, and data models that support persistent agent state, asynchronous execution, orchestration, and progress reporting. Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels. Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products. Build trust into the product through clear user controls, understanda

Perplexity is looking for a Design Engineer to help turn perplexity.com into a real growth engine, not a pile of one-off pages. You'll sit shoulder to shoulder with brand designers, PMMs, growth, and content teams, shipping product launch pages, campaign landing pages, and the components and tooling that let those teams move fast without lowering the bar. This is a hands-on role for someone with real taste, sharp attention to detail, and the speed to turn a Figma file, a Slack thread, or a rough sketch into a polished, shipped page quickly. Tech stack: React, TypeScript, Tailwind CSS, Sanity What you'll do Ship product launch pages and evergreen marketing pages for products like Comet, Computer, Deep Research, Search, and Hub. Own the work from Figma handoff to production. Partner with brand designers to build interactive experiences that make the site feel alive and drive engagement. Maintain and extend our brand design system and component library, keeping Figma and production in sync so brand and creative can scaffold pages with guardrails. Work closely with the paid ads and growth teams to run A/B tests on landing pages, popups, and upsell modules. Read the results, then iterate. Migrate the leftover Framer collections to Sanity, model schemas that non-engineers can actually use, and help ship new content types like changelog, customer stories, and academy pages. Design and unblock yourself when design resources are constrained. You can take a rough direction and turn it into something worth shipping. Improve the tools around the work: CMS workflows, i18n, SEO, experimentation, and internal tooling for marketing self-serve. If a manual process is slowing the team down, you should want to fix it. What you need 3+ years of experience as a front-end or design engineer, ideally on a marketing or growth site. A portfolio site that shows your previous work on marketing sites and design work. Strong skills in React, CSS, and modern frameworks. Deep understanding of res

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Red Team team’s mission is to proactively identify and simulate real-world threats against Robinhood’s platforms, properties, and people. Through red teaming and adversarial simulations, the team evaluates security controls, uncovers vulnerabilities, and helps continuously strengthen Robinhood’s overall security posture in close partnership with Detection & Response, Physical Security, and Engineering. As a Staff Offensive Security Engineer, you will take a hands-on role in designing and executing stealthy adversarial simulations to validate assumptions and uncover gaps in detection and response. You’ll leverage threat modeling, penetration testing, and research-driven techniques to emulate sophisticated attackers, while collaborating cross-functionally to improve defenses and shape more secure systems. This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You'll work closely with several teams of engineers and PMs to shape products used by Stripe employees across engineering, operations, finance, and beyond. This is a high-impact role for a designer who finds as much satisfaction in untangling complex workflows and dense information architectures as in crafting polished interfaces. What you'll do You'll take ownership of two spaces within our internal tooling portfolio—Developer Productivity, focused on ensuring every engineer at Stripe has the tools to be productive, and Collaboration, focused on knowledge discovery and communication at scale. You'll pair with an existing designer on the team to bring design quality and consistency to surfaces that are critical to how Stripe operates internally. Responsibilities Own end-to-end design for a portfolio of internal tools—from discovery and problem framing through interaction design, prototyping, and implementation support Partner with engineering and product managers to define product requirements and translate them into clear, usable, and well-considered design solutions Conduct lightweight research and usability sessions with internal users to validate decisions and surface unmet needs Contribute to a consistent design language across our internal tools suite, working in close coordination with the Sail Design team and the Stripe design system Make design trade-offs confidently, knowing when to go deep on craft and when to ship a pragmatic sol

P-1591 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org including: The impact you will have: Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few. Improve reliability, latency, and efficiency of distributed AI workloads Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences Shape how developers and data scientists build and interact with AI on Databricks What we look for: 5+ years of experience in backend or infrastructure engineering Strong programming skills in Scala, Go, or Python Experience with distributed systems, scalable APIs, or cloud-native infrastructure Familiarity with service-oriented a

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: Design and write high-performant and scalable software for training. Improve our training setup from an infrastructure and codebase performance standpoint. Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and wor

About the team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role The stakes of securing OpenAI increases as our internal coding and research becomes increasingly driven by autonomous AI agents. Compromising these agents could allow a cyber threat actor to compromise many other parts of the company. In this role, you would lead Preparedness work defending the security of our internal AI agents against insiders, Advanced Persistent Threats (APTs), or powerful AI agents. We’re looking for a strong hands-on technical executor with experience working directly with advanced cyber threat actors. In this role, you will: Develop and maintain threat models via which advanced attackers could compromise our coding assistants and automated security systems. Identify security investments that are especially critical to make in advance; for example, prioritizing by implementation lead-times, costs, and benefit. Partner with Security, Infrastructure, Research, Legal, and Preparedness to align on implementation plans and tradeoffs. Lead technical execution directly when needed, including prototyping controls, writing and reviewing software, and coordinating engineers across teams. Work with penetration testers to close gaps in defenses. You might thrive in this role if you: Are an exceptional hands-on technical executor. Have worked with advanced

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Some of our world's grand challenges, from resolving long-open problems in mathematics to designing medicines for neglected diseases, require deep expert judgment that today's AI still lacks. We're working toward an AI scientist, a system capable of the long-horizon reasoning and experimental judgment needed to push the frontier on problems like these. We believe frontier AI, developed safely, can meaningfully accelerate progress across science and engineering. Getting there requires close collaboration with people who have spent years at the frontier of their fields. The Anthropic STEM Fellows Program brings researchers and experts from across science and engineering into Anthropic for four months to take on the grand challenges of their fields with Claude. Working in small pods of Fellows from related fields, you will pair deep domain expertise with our frontier models and internal tooling to define the hardest open problems in your discipline, build the datasets and simulations that let us test and train Claude on them, and find exactly where it falls short. We're looking for Fellows across science and engineering. Prior machine learning experience is helpful but not required. Scientific judgment and a willingness to learn quickly matter more. Our first cohort of more than 20 STEM Fellows across mathematics, physics, the life sciences, and engineering, ran from June to September 2026. The problems they built now feed Claude's training and one of our internal science evaluations. What to Expect: A place in a small pod of Fellows working on related problems in your domain. Your pod meets weekly with Anthropic researc

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. Access to frontier Claude models and internal evaluation tooling. A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude’s strengths and weaknesses in tackling them. Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Cla