Artificial Intelligence Research Intern Jobs

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Location: Madrid for an onboarding period of 2 years and a possible relocation to Munich after. Customer base will be in Germany/DACH area, involving travel to meet clients in person. Role Description As an (AI) Solution Consultant you are pushing the envelope in solving business-critical problems for our customers. You are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. Launch Your Enterprise Software Career -

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. In This Role, You Will: Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. Develop and manage test coverage for: ICT / structural test FCT / board-level functional test Tray-level functional and integration test System-level manufacturing and bring-up test Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. Translate engineering requirements into practical, scalable manufacturing test plans that

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The UK Value Engineering team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis data & AI platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers by owning their end-to-end value journey. You are their trusted technology & business advisor, helping organisations achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, helping organisations understand where Celonis fits into their IT landscape and AI strategy, building specifi

We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations wi

We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations wi

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The UK Value Engineering team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis data & AI platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers by owning their end-to-end value journey. You are their trusted technology & business advisor, helping organisations achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, helping organisations understand where Celonis fits into their IT landscape and AI strategy, building specifi

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The UK Value Engineering team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis data & AI platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers by owning their end-to-end value journey. You are their trusted technology & business advisor, helping organisations achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, helping organisations understand where Celonis fits into their IT landscape and AI strategy, building specifi

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA. This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation. In this role you will: Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components. Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality. Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction. Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries. Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization. Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities. Work with external vendors where needed to integrate technologies and drive issues to resolution. Contribute across the systems sof

Solution Architect Sigma Computing The SA role has evolved. Here’s the version we’re hiring for. The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up. 1. Use AI every day to do the job better. If you are not using Claude, ChatGPT, Cursor, or equivalents to accelerate your account prep, architecture diagramming, prototype builds, RFP responses, and discovery synthesis, you are getting outworked by SAs who are. We expect this hire to treat AI tooling as default infrastructure, not novelty. Come with a point of view on what you run, why, and how you use it to compress weeks of work into days. 2. Sell AI into the account. Buyers want to talk about agents, MCP, A2A, context engineering, and which model is powering what. You have to be fluent. You know Sigma’s AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, and warehouse-native agent patterns. You can architect Sigma agents and warehouse agents into a customer’s stack and explain the tradeoffs to a head of data and a CISO in the same call. You also speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs. 3. Sell against AI. Every enterprise deal has AI competition in it. Sometimes it is Databricks Genie. Sometimes it is Snowflake Cortex Analyst. Sometimes it is a systems integrator pitching a bespoke agent built over the weekend. You know where each of these breaks at scale, where Sigma’s warehouse-native architecture wins on governance, freshness, and cost, and how to draw the line for a skeptical CDO without hand-waving. You can defend that position in an architecture review, on a security questionnaire, and across three follow-up calls. About Sigma Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, an

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Lead the design and operation of a single, auditable security automation pipeline where security controls are authored, reviewed, validated, and deployed Build drift reconciliation and validation engines that detect and remediate divergence across endpoint, identity, cloud, and vulnerability management domains Replace manual console operations with version-controlled, auditable automation built on infrastructure-as-code and configuration management platforms Implement and scale infrastructure-as-code deployment patterns and reusable automation components that accelerate delivery of security controls across teams Build and maintain continuous integration and continuous deployment pipelines with automated linting, policy-as-code checks, pre-deployment validation gates, and promotion workflows Design observability and monitoring pipelines that surface drift, control failures, and deployment health across environments and enable rapid incident detection

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. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A

Sigma has surpassed $200M in overall revenue and is scaling rapidly. We're looking for a Revenue Operations Manager to sit at the centre of a ~$40M ARR business within Sigma that is doubling year on year. You will work directly alongside our Area VP of Sales - embedded in the business, not observing it from the outside. This is a role built on trust, proximity, and the ability to shape decisions before they get made. Think less ops coordinator, more trusted advisor with a bias for action and a sharp analytical mind. Someone who has outgrown execution and wants to shape strategy. Someone who gets uncomfortable when they are the last to see a problem coming. Someone who would rather design the system than run the report. What you will own The operating rhythm of a high-growth sales organisation - QBRs, planning cycles, leadership offsites, and the cadences that keep a fast-moving team aligned. Annual planning, built from the ground up with sales leadership rather than handed down from on high. You will own the process, the timeline, and the room. Strategic diagnostics - surfacing the leading indicators, structural risks, and pipeline dynamics that tell us where we are headed before the quarter tells us itself. AI-native workflows that eliminate grunt work and free up our talent bench to spend time on decisions, not dashboards. A direct line to senior leadership within the company, with the credibility to challenge as well as advise. You will be expected to have a view, and to defend it. What we are looking for Around a decade of experience in Sales Strategy, Revenue Operations, or a Chief of Staff function inside a high-growth B2B SaaS business. Deep familiarity with the operational workings of a high-performance GTM engine - pipeline hygiene, territory management, coverage models, operating rhythms, and annual planning. Strong written and verbal communication skills. The ability to take a complex situation, translate it for the right audience, and land

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization. As a Senior St

At AutoScout24, we’re excited to be hiring for our Canadian company, Trader Corporation — a key part of our international family. As the Canadian arm of Europe’s largest online car marketplace, Trader Corporation plays a vital role in transforming how people buy, sell, and finance vehicles. With well-known brands like AutoTrader.ca , AutoSync, and Dealertrack Canada , Trader Corporation is driving digital innovation in the automotive industry — now reaching over 25 million Canadians every month. This role will be within the Dealertrack Canada team, the country’s leading automotive financing portal, processing over 6.5 million credit applications annually. --- We’re looking for a Senior Software Engineer who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to modernizing our platform so we can better detect fraud, assess risk, and move faster as a business. You’ll help shape architecture, influence technical direction, and own what you build—from design to production. The software you’ll build directly influences financial trust, fraud prevention, and risk decisions across Canada’s automotive ecosystem. Your work will have real impact at scale—and you’ll have the autonomy and responsibility to shape how it’s done. If you’re motivated by ownership, technical challenges, and building systems that truly matter, you’ll feel at home here. What You’ll Do: Build & Evolve Critical Systems Improve and extend a large, production-grade codebase with a strong bias for clean code, testing, and long-term maintainability . Design and implement scalable, resilient solutions using modern architecture principles (modularity, clear boundaries, observability). Modernize legacy components to unlock ne