Artificial Intelligence Research Intern Jobs

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role We’re looking for a Middle Full-Stack Engineer (.NET) to join the Integra team. In this role, you’ll help build and improve payment-related experiences and supporting systems, with a stronger emphasis on frontend development and meaningful backend contribution where needed for integrations and service collaboration. This is a hands-on engineering role for someone with solid production experience who is comfortable working across the stack, writing automated tests, and contributing in an iterative team environment. You’ll work on important product and platform capabilities connected to payments, integrations, and user experience improvements. What You’ll Do Design, build, and improve frontend experiences that support payment flows and customer interactions (React). Contribute to backend development for integrations, service coordination, and enhancements across existing systems using C# and .NET. Write, maintain, and improve automated tests to support reliable, scalable delivery. Work with internal systems and third-party providers to implement and support payment-related integrations. Collaborate with engineers and cross-functional partners in an iterative development environment to deliver product and platform improvements. Work with complex SQL queries and data flows in a high-load environment where quality and performance matter. Help identify and implement technical improvem

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Software Engineer, Security Engineering Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. We are looking for a Senior Software Engineer that will join the Auth0 Security Engineering organization. In this role, you will join a team of Software Engineers dedicated to building and managing services that secure the platform that Auth0 runs on. You will be instrumental in expanding our platform security controls and architecting custom workflows in a scalable, reliable manner. What You Will Do Service Development: Build, maintain, and operate platform security services and controls using Python, Node.js, or Golang. Security Automation: Build and contribute to our security automation initiatives for custom tooling. Container Security: Provide technical support and engineering solutions for securing Kubernetes (K8s) and containerized workloads, including runtime security, network policies, and admissio

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr Financial Manager, Partnerships. About the job As Sr. Manager of GTM Finance for Global Partnerships, you will serve as the primary strategic co-pilot to the VP of Global Partnerships. You will design economic models driving our ecosystem strategy across Cloud Marketplaces (AWS, GCP, Azure), Global Systems Integrators (GSIs), and ISVs—ensuring partner incentive investments accelerate usage-based revenue while achieving profitability goals. Responsibilities In this role, you’ll: Serve as the primary, trusted financial and strategic advisor to the VP of Global Partnerships and his global leadership team Marketplace Strategy (AWS, GCP, Azure): partner with the marketplace and other cross functional teams in R&D, Marketing, GTM to optimize Twilio’s business through cloud marketplaces Ecosystem Monetization: design revenue-share frameworks and co-sell incentives tailored to Twilio’s business Program &

At Lyft, our purpose is to serve and connect. Lyft’s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services. As a Senior Software Engineer on the Foundational Infrastructure & Networking team , you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale. Responsibilities Architect & Scale Core Networking: Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS. Optimize High-Throughput Control Planes: Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes. Drive Systems Reliability & Observability: Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR). Hands-on Production Debugging: Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols. Technical Leadership & Mentorship: Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org. Experience 6+ Years of Production Systems Experience: Proven track record building and operating massive-scale cloud infrastructure and networking platforms. Expertise in Cloud Networking & Protocols: Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking a

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeli

About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. Implement API and EDI partner inte

Senior: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role About the job Build quality foundations for Kubernetes systems that power next-generation AI compute. As a Senior QA Engineer , you will validate the workload management stack for new AI accelerator hardware. You will help ensure that Kubernetes integrations are reliable, scalable and ready for production use. Your work will support how accelerators are scheduled, orchestrated and used across distributed environments. You will test systems that make complex AI compute infrastructure dependable for real users. You will design and develop automated test suites, build system and integration tests, and contribute to improving CI/CD quality practices. You will also investigate and debug issues across Kubernetes, infrastructure and application layers. This role is for someone who enjoys hands-on technical testing, automation and working close to complex distributed systems. This is a hybrid position, with at least three days each week in our Gdańsk office. The team and culture You will join the Workload Management team, working closely with software engineers, infrastructure specialists and other QA engineers. The work is practical, systems-focused and based on strong technical ownership. Quality is built early here, not checked only at the end. You will contribute to test strategy, validation planning and automation practices throughout the development lifecycle. The team works through open technical discussion and evidence-based decisions. You will be encouraged to speak up on quality risks, improve test coverage and help turn complex systems into reliable products. As a senior member of the QA team, you will also support less experienced engineers through technical guidance, code reviews and sharing good testing practices. What we’re looking for Strong Python programming experience, with a focus on automation and test engineering Hands-on experience with Robot Framework or

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 Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise. As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron. You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies, cloud-native architectures, and AI-assisted software development practices. Responsibilities Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures. Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications. Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions. Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency. Research, evaluate, and prototype emerging AI techn

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 Architecture Modeling team develops software, modeling platforms, and analytical tools that enable the evaluation and optimization of next-generation storage system architectures. By combining simulation, data analytics, automation, and AI-enabled engineering practices, the team helps accelerate architectural decision-making and improve engineering productivity across product development organizations. As an Architecture Modeling Intern, you will develop software tools and automation solutions that support architecture modeling, simulation analysis, and performance characterization efforts. You will collaborate with architects, firmware engineers, and systems engineers to analyze complex datasets, identify performance bottlenecks, improve engineering workflows, and leverage AI technologies to enhance productivity and technical decision-making. Responsibilities Develop software tools and automation solutions for architecture modeling, simulation analysis, and performance characterization activities. Create workflows to process, analyze, visualize, and report on large engineering datasets to improve insight generation and decision-making. Design dashboards, reporting tools, and analytics solutions that improve engineering productivity and identify performance trends or anomalies. Apply AI-assisted development techniques, automation frameworks, and intelligent analytics to accelerate software development and engineering workflows. Collaborate with cross-functional engineering teams to so

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. Key Responsibilities GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval. LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support. Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions. Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments. Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders. Innovation Leadership: Identify and drive high-impact o

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, but not limited to Install, upgrade database systems, apply patches and implement changes when required. Diagnose and resolve database errors ensuring high availability of database systems. Manage databases access, backups and ensure compliance with database and security standards. Perform changes to critical databases related to manufacturing and engineering. Support incident, request, change, and problem management tasks associated with database operations. Ensure SLA for incidents and service requests are met with high quality of work. Ensure critical metrics, such as breach case target, MTTR and first level resolution target are met. Provide oncall support, including outside of office hours. Perform business continuity planning and capacity forecast for database systems Plan, execute, and validate disaster recovery exercises, failover testing, and recovery procedures to ensure business continuity readiness. Collaborate with site customers on new database requirements, problem resolution and data flow requests. Performance tuning of databases to ensure high performance and availability. Monitor database performance proactively and perform analysis of cases to

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a member of the IP Protection team, you will build and operate data protection solutions that safeguard Micron's intellectual property throughout its lifecycle. You will partner with team members across all of Micron's business areas to identify and reduce data exposure risks, improve data governance, and enable secure collaboration both inside and outside the company. Responsibilities: Serve as the enterprise DLP authority, developing and managing data loss prevention policies spanning devices, electronic messaging, internet activities, cloud applications, and storage platforms. Develop and optimize advanced detection capabilities for source code, hardware designs, algorithms, product roadmaps, and other intellectual property using regex, fingerprints, EDM/IDM, and ML-based classifiers. Continuously tune DLP policies to reduce false positives and negatives while implementing automated remediation and tiered response workflows. Monitor and protect against data ex-filtration across key egress channels, including USB devices, email, SaaS applications, personal webmail, messaging platforms, generative AI tools, and cloud sync services. Develop detections for anomalous access and ex-filtration activities, such as bulk downloads, repository mirroring, and unusual after-hours behavior. Author and maintain information protection standards, DLP governance, runbooks, exception processes, and data points to measure program health an

Customer Success Architect (CSA) team provides technical expertise for the post-sales customer experience. Customer Success Architects are responsible for making sure that our customers are meeting their objectives. They are a vital component of our company’s success, working with customers, partners, and product teams to deliver success for our valued customers. CSA supports multiple post-sales roles including GTM, Support, & Product. What You Will Be Doing Sigma champion and product expert, customers will look to you for advice and expertise Advisor to our customers on technical best practices including Sigma best practices and patterns Performance and tuning Security including SSO, team organization, and row-level security Embedded and API access Related data products like CDW, ETL, and catalog tools Capture product feedback from customers and engage with the product team to improve our product roadmap Identify new use cases to grow accounts and find areas where Sigma can provide the most value to ensure renewals Cultivate customer references for the marketing team Design and develop software solutions for Business Intelligence and analytics products while providing technical expertise for post-sales customer success. Working directly with customers to understand business and technical requirements and implementing tailored analytics solutions in customer environments; advising customers on best practices for implementation, performance, security, embedded analytics, and API access; collaborating with Product Managers and Engineering teams to deliver and improve customer solutions; Documenting software and technical implementations; monitoring deployed solutions and troubleshooting complex technical issues; and learning product capabilities, release processes, and maintenance procedures to ensure successful customer outcomes. Qualifications We Need Minimum 10 years of business intelligence experien

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . ML Platform & Infrastructure Team The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production MLOps and cutting-edge GenAI enablement. As our AI footprint expands rapidly, our priority is evolving our robust MLOps foundations into a scalable, high-performance LLM serving and routing platform. We build self-serve systems that allow Data Scientists and Engineers to host open-source LLMs reliably, optimize inference latencies, manage GPU infrastructure, and benchmark model performance safely in production. The Role We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique challenges of LLM inference and infrastructure . In this role, you will bridge the gap between traditional MLOps (model lifecycles, pipeline orchestration, serving infrastructure) and modern GenAI stack requirements (vLLM, GPU cluster management, intelligent model routing, and automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems company-wide. In this role, you will have the opportunity to: Turn MLOps expertise to GenAI: Transition traditiona

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 Role: As an Applied Value Engineer, you are pushing the envelope, solving business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. The work you’ll do: Discovery & AI Solutioning: Translate domain expertise, product knowledge, and specific customer requirements into flawless project execution. You will execute technical discovery, allowing you to prototype and build bespoke, state-of-the-art AI solutions that precisely target nuanced, industry-specific operational pain points. AI Solution Development: Drive the end-to-end execution of business-critical Proof-of-Value (PoV) projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks. Value Selling & Realization: Maintain active technical and advisory involvement with strategic accounts, e