Research Intern in United States

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As a Senior Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: Fine-grained authorization for users, service accounts, and agentic workloads SSO and SCIM support, allowing customers to centralize and automate access to Baseten Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend In-product management and enforcement of customer compliance requirements like data residency and HIPAA Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions Allowing customers to run Baseten inside their own VPC, on-pr

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: Overview of the product so far Training docs overview Story of the Training product Research we've done RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) Partner closely with developers and research engineers to translate complex training requirements into technical solutions Design and architect a global training scheduler Design and architect reinforcement learning systems and continuous learning pipelines Drive long-term improvements to improve reliability of systems and velocity of development Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure Make critical architectural decisions balancing performance with system reliability Lead technical discussions and mentor junior engineers on infrastructure best practices Contribute to long-term technical strateg

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at 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: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

We’re looking for someone to join the Datadog Procurement team and help expand the Strategic Sourcing group. Make an impact by being a trusted analyst in several buying categories and continue to prove the value that Strategic Sourcing brings to the organization. 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: Leverage AI tools (e.g., Claude, ChatGPT) to enhance market research, accelerate data analysis, and improve efficiency in sourcing workflows Identify opportunities to incorporate automation and AI into procurement processes to drive scalability and smarter decision-making Support and execute sourcing strategies directed by sourcing managers with a specific focus in G&A categories (People Team, Finance, Legal, Real Estate) Develop strong relationships with stakeholders and assist teams to independently evaluate their best practices and adopt a value-driven mindset when purchasing on behalf of the organization Lead and execute Sourcing events (RFx) Negotiate pricing and other business terms with vendors on net-new purchases and renewals Manage the renewals list for designated categories and ensure accuracy of information and proactive communication Analyze spend data and identify potential cost savings opportunities Create pricing models based on vendor proposals to quantify various buying scenarios Build license forecast models and utilization analyses for enterprise software renewals to help uncover usage and savings opportunities Collaboratively align with adjacent functions like FP&A on utilization and forecast models Operate effectively in ambiguous or evolving problem spaces, helping bring structure, clarity, and forward momentum to loosely defined sourcing initiatives Monitor market trends that impact spend categories and

Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at 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: Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. Hiring : Assis

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our Product Marketing Managers imagine the ideal experience for our community and work backwards, creating innovative products that delight our guests and Hosts. They deeply understand the needs of our users and translate these into a strategy that combines strong product thinking and deep research. They partner with talented cross-functional team members across engineering, design, operations, data science, and more, leading teams to execute a shared vision. They are incredibly detail-oriented and hands on. The Difference You Will Make: You will be part of the team responsible for product roadmaps and launches at Airbnb. You will drive specific features that are part of every launch and determine how they are communicated to the external world. You are responsible for the success of Airbnb products throughout their life cycle — from concept to release and ongoing iteration. And their cross-functional work ensures a consistent product voice across all the products being developed at Airbnb. In this position you will be the owner of the roadmap for discounts and promotions and how they work within our broader set of pricing tools for the millions of hosts in our community. Working closely with your cross-functional partners across the business and guest experience teams, you will own the roadmap for both evergreen discounts and targeted promotions that help hosts increase their earnings through more competitive prices and increased guest visibility. In addition, you will be working closely with our data science and analytics teams to develop the targeting and business strategy using

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our Product Marketing & Management leaders imagine the ideal experience for our community and work backwards, creating innovative products that delight our guests and hosts — and crafting the narratives that bring those products to the world. They deeply understand the needs of our users and translate these into a strategy that combines strong product thinking, deep research, and compelling go-to-market storytelling. They partner with talented cross-functional team members across engineering, design, operations, data science, marketing, and communications, leading teams to execute a shared vision. They are incredibly detail-oriented and hands on. The Difference You Will Make: You will be part of the team responsible for product roadmaps and launches at Airbnb. You will drive specific features that are part of every launch and determine how they are positioned and communicated to the external world. You are responsible for the success of Airbnb products throughout their life cycle — from concept to release to growth. And your cross-functional work ensures a consistent product voice across the experiences being built at Airbnb. We are seeking a Product Marketing & Management leader to join our Tickets team. Tickets is a new and fast-growing business spanning attractions, tours, and live events, and you'll be at the forefront of defining the category for Airbnb — shaping a product guests love, building the supply that powers it, and telling the story that brings it to market. This is an exciting opportunity to stand up a business from the ground up and leave a lasting impact on

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join Our Product Managers imagine the ideal experience for our community and work backwards, creating innovative products that delight guests. They deeply understand user needs and translate these into strategies that combine strong product thinking with deep research. They partner with talented cross-functional teams across Engineering, Design, Analytics, Data Science, Finance, and Payments, leading teams to execute a shared vision. Critically, they work alongside platform product teams who build the underlying capabilities — knowing when to own, when to collaborate, and when to hand off. You will be joining the Wallet team, working closely with Payments, Design, Engineering, Finance, Analytics, Trust & Safety, and our broader Guest Experience organization to build the financial home for every Airbnb guest. The Difference You Will Make We are seeking an exceptional product marketing leader to define and build Wallet — Airbnb's new financial hub for guests. Wallet will transform how guests manage their financial relationship with Airbnb, bringing together payment methods, stored value, credits, and spending features into one trusted, engaging place that guests return to between trips — not just at checkout. You will drive the product vision and roadmap for Wallet end-to-end: from the core financial hub experience through to its integration with Payments and Checkout. The ideal candidate brings deep experience building consumer financial products, understands the payments ecosystem, and has the checkout and conversion instincts to reduce friction at the moment of booking. Success in th

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations. Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals. The Difference You Will Make You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are hig

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are looking for an expert leader to join our community as the Staff Payments Advanced Analytics. In this capacity, you will be a vital driver in executing the strategic vision for Airbnb's global Payments operations. As a key data thought partner, you will streamline integrated, data-informed decision-making across the Payments Platform, Product, and Operations teams. Our organization is dedicated to achieving operational excellence and enhancing the Guest and Host experience through a rigorous culture of problem-solving fueled by data and research. You will embed quantitative measurement into our user journeys and product processes, establishing objective indicators for success. Collaborating with a cross-functional team of engineers and finance partners, you will oversee the technical details of fund processing, including collection, reconciliation, and settlement systems. Your expertise in building relationships and framing narratives will be essential as you influence stakeholders at every level to drive global process improvements and optimize our payments data landscape. The Difference You Will Make: Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization. Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem. Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving. Solve complex domain cha

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world. We're looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation. What You'll Be Doing Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns. Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation. Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures. Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse. Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools. What you should have 2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent. 4+ years of experience working in a Trust & Safety dom

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for an exceptionally experienced, hands-on full-stack engineer to define and build the next generation of AI-powered enterprise workflows. You will take on the hardest and most ambiguous problems in the Technology vertical: translating real customer needs into product direction, designing the systems behind the experience, and personally writing and shipping production-quality code across the stack. You will own the technical direction and end-to-end delivery of products spanning ChatGPT Work surfaces, backend services, plugins, connectors, enterprise data, permissions, and evaluations. You will make foundational architecture and product tradeoffs; establish patterns other engineers can build on; and hold these experiences to a high bar for reliability, security, observability, and customer value. This is an individual-contributor role for an engineer who leads through technical judgment, direct execution, and influence—not people management. You should be equally comfortable working directly with customers, setting direction with senior cro

About the Team OpenAI’s Network Engineering team within IT and Security advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient network services. We build and operate the connectivity that supports OpenAI’s offices, labs, campuses, cloud environments, people, and devices. By combining strong network fundamentals with security, reliability, automation, and user-centered design, we enable impactful AI research, corporate operations, and product innovation. About the Role As a Network Engineer at OpenAI, you will design, operate, and continuously improve the global networks that connect our offices, labs, campuses, PoPs, cloud environments, people, and devices. The role spans strategic platform engineering and responsive production operations: you will shape architecture, standards, roadmaps, lifecycle plans, and automation while supporting incidents, escalations, and time-sensitive delivery. Operational signals will inform what we stabilize, simplify, standardize, or automate next. We work backward from user needs, investigate root causes, own outcomes end-to-end, and move quickly without compromising security. We are looking for a versatile engineer who can make pragmatic reliability and security tradeoffs, communicate clearly, and turn recurring operational work into durable platforms, tooling, and standards. You will partner across IT, Security, AppEng, Research, Applied, workplace teams, carriers, and vendors. In this role, you will: Design, implement, and operate secure, scalable enterprise networks across offices, labs, campuses, PoPs, cloud connectivity, and hybrid environments. Set strategic direction for network services through architecture, standards, roadmaps, lifecycle planning, capacity strategy, and measurable reliability outcomes. Own production operations, including on-call, incident response, escalations, and time-sensitive delivery, while protecting user experience,

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout. In this role, you will: Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. Turn customer a