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Artificial Intelligence Research Intern Jobs

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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 - Banking & FS 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 s

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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: We are looking for a Senior Applied Value Engineer, Healthcare & Life sciences —an industry expert who can bridge the gap between technical process mining and strategic business outcomes. You will act as an architect for critical work-streams within a major HLS account, translating complex operational data into clear value drivers. As a Senior Applied Value Engineer, you are a "go-to" execution expert within our HLS go-to-market organization. You will move beyond standard process optimization to link Celonis capabilities to key outcomes specific to fast-moving consumer goods operations. You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor, helping them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set and strong analytical skills at the forefront of one of the fastest-growing tech companie

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Sigma Computing
📍 United States• Full-time• $175K – $210K/yr
3mo ago

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

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Lyft
📍 Toronto• Full-time• From C$118.8K/yr
3mo ago

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. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see th

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Okta
📍 Sydney• Full-time
3mo ago

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. The Partner Marketing Manager is a business strategic thinker, executor, and leader in Partner + Marketing initiatives, often leading complex projects, cross-functional, and broader company-wide initiatives. Deep understanding of business value propositions and better together positioning with assigned focus partners. Owns, builds and drives the strategies and plans with specific assigned focus partners / partner types. Builds and executes Partner + Marketing initiatives, campaigns or programs leveraging templates and frameworks working closely with cross-functional teams. Experience: 8+ years of related experience in a professional role with a Bachelor’s degree; or 6+ years with a Master’s degree Core Responsibilities Partner Marketing Execution & Support: Joint Campaign Planning: Collaborate with partners to design and execute joint marketing campaigns, such as webinars, events, or digital advertising. Asset Creation: Develop co-branded materials like whitepapers, solution briefs, and social media content Funding Support: Manage Market Development Funds (MDF) to financially support partner-led marketing initiatives Work with the regional marketing team to identify opportunities to incorporate focus partners into existing Okta-led initiatives Coordinate with the APJ Strategic Partner Marketing Manager on logistical tasks related to GSI and CSP partners as directed. Relationship & Event Execution: Serve as a primary marketing contact for a set of fo

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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. Primary Responsibilities AI-Driven Process & Yield Innovation Initiate and lead new AI/data solutions to uncover process, test, and design improvement opportunities, with specialization including but not limited to: UE_ROW & all quality indices Front End-PTS integration High-value-bits (PG2+) yield Any yield improvement area spanning process, equipment, test, and design domains Develop AI-enabled modeling, monitoring, and benchmarking frameworks that push tool performance to best-in-class standards Champion process equipment prognostics and process integration optimization through machine learning and agentic AI frameworks Identify test optimization opportunities that directly translate into higher product grade yield Proactively discover and pursue new yield improvement vectors through data-driven insights and AI-assisted root cause analysis AI Agent Skill Development & Management Take end-to-end ownership of AI agent skill development — from requirements gathering and skill design to testing, deployment, and continuous improvement Architect and manage a portfolio of AI agents and skills tailored to semiconductor engineering use cases — including process monitoring, yield analysis, equipment diagnostics, and test optimization Prototype AI-assisted solution mock-ups, validate feasibility, and demonstrate measurable

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*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:0fbc0e63-7a29-4549-b136-67f3c3174a55-0" data-turn-id-container="request-WEB:0fbc0e63-7a29-4549-b136-67f3c3174a55-0" data-testid="conversation-turn-2" data-turn="assistant"> About the job Own verification that turns complex silicon architecture into reliable AI compute hardware. As a Silicon Verification Engineer, you will help ensure Graphcore RTL matches the architecture specification. Your work will protect silicon quality before designs move into physical implementation. You will sit where architecture, logical design and verification meet. You will directly influence how issues are found, understood and resolved before they become costly. You will plan verification, define coverage, generate tests and diagnose failures. You will also improve shared infrastructure that helps engineers move faster and identify problems earlier. The work is technically deep, with clear impact on our silicon. You will help build the discipline, pace and quality needed for ambitious AI compute programs at scale. The team and culture The verification team works closely with Architecture, Logical Design and Physical Design. Clear plans, coverage goals, test results and direct technical feedback shape the work. You will take ownership, follow evidence and keep communication open across sites. The team values people who speak up early and make complex problems easier to solve. Decisions are driven by technical reasoning, shared data and practical trade-offs. You will have room to lead through your expertise, not just your title. What we're looking for Verification experience in CPU, ASIC or closely related silicon environments Experience with UVM, SVA, assembly, compilers, Git or DRMS tools Ability to plan verification work and drive functional coverage to c

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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. About the Role As an AI Transformation Engineer within the Frontend Central Product Integration Engineering (CPIE) team at Micron Technology, Inc., you will drive the convergence of artificial intelligence and semiconductor manufacturing excellence. You will lead AI-powered innovation across process capability, yield optimization, and quality improvement. In this role, you will take ownership of AI agent skill development and lifecycle management — designing, building, deploying, and governing intelligent agents that automate complex engineering workflows and augment human decision-making across Micron's global manufacturing ecosystem - serving as both a technical leader and AI evangelist who inspires and influences multi-functional teams to think and work differently. Primary Responsibilities AI-Driven Process & Yield Innovation Initiate and lead new AI/data solutions to uncover process, test, and design improvement opportunities, with specialization including but not limited to: UE_ROW & all quality indices Front End-PTS integration High-value-bits (PG2+

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Okta
📍 Toronto• Full-time• C$160K – C$220K/yr
3mo ago

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. Get to know the team The Developer Platform team at Auth0 (an Okta company) owns the surfaces developers use to build with Auth0 - APIs, SDKs, CLIs, and the tooling that shapes how developers experience identity. Software is increasingly built by developers working alongside AI agents, and that shift raises the bar on every interface we ship: APIs have to be consumable by agents, tools have to be discoverable, and our platform has to hold up when an agent - not just a person, is the one calling it. We're looking for an engineer who already builds with those skills. We move fast, we own problems end-to-end, and we care deeply about the developer experience we put in front of people. The opportunity We're hiring a Staff Software Engineer to build the platform surfaces that developers and AI agents use to configure, extend, and interact with Auth0. You'll work at the intersection of API platform design, developer tooling, and emerging standards like MCP (Model Context Protocol). You'll take on ambiguous, high-leverage problems alongside a group of strong senior and staff engineers, and you'll have real influence over how our platform is built for a world where agents are first-class consumers. What you'll be doing Design and build developer-facing platform surfaces - APIs, MCP tools, CLI integrations, that hold up whether the caller is a developer or an agent Own technical direction for key platform surfaces that make Auth0 consumable by agents Drive cross-cut

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About the job Build the cloud platform that powers Graphcore’s next generation AI systems. As a Principal Cloud Engineer, you will help develop, deploy and operate cloud services across Graphcore’s AI infrastructure. You will work on private and public cloud systems used by internal teams and customers. Your work will shape how high-performance AI systems are integrated, validated, benchmarked and optimised. You will help keep complex infrastructure reliable, observable and ready for demanding workloads. You will own significant technical initiatives, from OpenStack-based services to Infrastructure-as-Code automation. You will also mentor engineers and turn user needs into services that perform at scale. This role puts you close to pre-release hardware, advanced systems and real product challenges. The Team and Culture The Cloud Platform Team sits within Software Platform and works closely with Software Platform, Datacentre Operations and Product Development. The team builds systems for internal users and customers, often using new components before they are proven. Work moves through practical engineering, clear ownership and fast feedback from users. You will be expected to take responsibility, speak up early and lead critical infrastructure work without close oversight. Decisions are grounded in evidence from benchmarks, observability data and operational performance. The team values engineers who can think big, act fast and bring others with them. What we’re looking for Bachelor's degree or equivalent practical experience in a relevant subject. Strong infrastructure or IT background, with private-cloud or on-premises cloud experience. Expert Linux system administration and scripting skills, including bash and Python. Hands-on experience with Infrastructure-as-Code tools such as Terraform/OpenTofu, Ansible or Packer. Experience with CI or testing pipelines, version control and cloud service deployment. Strong communication skills, with the judgement

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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. Role Description As an Associate Value Engineer 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 Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and differ

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Micron
📍 Singapore• Full-time
3mo ago

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 and Tasks Work with PEE, PIE and Planning team to enable short to mid-term capacity and cycle time planning for the area to meet Business Plan Identify area constraints, establish and implement best known method to resolve them Work with relevant cross functional teams in building the infrastructure and fan out to the shift team to run the area more effectively, i.e manufacturing system deployment, enhancement, and training Drive productivity and quality improvement projects, such as cycle time reduction, RPT improvement, operations simplification, man model optimization, etc Participate in resolving gaps in actual vs modeled performance Set up and maintain automated systems to disposition product Define and streamline business processes at Probe to improve coordination across multiple teams Improve robustness of Probe systems and operations Perform system setup to support new NAND devices at Probe All team members are required to complete their learning items within the stipulated time frame

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Sigma Computing
📍 United States• Full-time• $160K – $185K/yr
3mo ago

About the role Every enterprise is racing to build AI-powered apps and agents but speed without the right runtime creates chaos, not transformation. Sigma is the AI Runtime Environment that makes those apps governable, scalable, and real, and the Sr. PMM, Sigma Apps will play a critical role in developing and executing the go-to-market narrative and strategy for Sigma Apps. This role requires someone who understands both sides of the enterprise software conversation: the IT leaders and data engineers who evaluate and govern application infrastructure, and the line-of-business owners who care about outcomes, speed, and usability. You'll translate Sigma's application development capabilities into stories that resonate with both and create the materials the sales team needs to tell those stories in the field. What you'll do Develop and maintain positioning and messaging for Sigma Apps including no-code app building, AI-assisted workflow automation, embedded analytics, and apps built with external coding agents working closely with the Director of Product Marketing, Apps and the Product team. Support new feature launches and capability expansions, coordinating across product, design, marketing, and sales to bring new capabilities to market clearly and effectively. Work closely with Product and Engineering to deeply understand and influence the Sigma Apps roadmap bringing market, customer, and competitive insights that help shape and prioritize it. Partner with sales reps and the Enablement team to understand what's working in the field and use those insights to sharpen messaging, update battlecards, and improve enablement materials. Partner with the Enablement team to build and maintain sales enablement content solution briefs, pitch decks, use case guides, competitive comparisons, and discovery question frameworks that help the field confidently sell Sigma Apps Build and maintain competitive analysis and battlecards for the no-code/low-code, embedded anal

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Sigma Computing
📍 United States• Full-time• $235K – $270K/yr
3mo ago

About the role AI and coding agents have made building enterprise apps nearly effortless and exposed a massive gap in the infrastructure to run them. Sigma is emerging as the AI Runtime Environment that makes enterprise AI actually work, and this role will tell that story to the market, why it matters, and help define and create this new category. As Director of Product Marketing for AI, you will own the positioning and go-to-market strategy for Sigma's overall AI narrative and its specific capabilities, including: natural language exploration, agentic workflows, and AI-powered application building (both internal and using external coding agents). This is a high-visibility, high-impact role that sits at the intersection of product, sales, and the market. You'll translate a rapidly evolving AI roadmap into sharp, differentiated messaging that resonates with data teams, business leaders, and the enterprise IT buyers who evaluate and approve AI investments. You will be a key voice in helping Sigma win the category. What you'll do Define and own Sigma's AI product positioning and messaging from core value propositions to competitive differentiation and persona-specific narratives. Partner with Product and Engineering to understand and influence Sigma's AI capabilities and roadmap. Lead product launches for AI features and capabilities, coordinating across marketing, sales, customer success, and partnerships. Partner with sales leadership and frontline reps to understand AI deal dynamics, competitive objections, and messaging gaps and incorporate learnings into improved positioning, content, and enablement. Partner with the Enablement team, build and maintain sales enablement materials pitch decks, battlecards, demos, objection-handling guides that help the field win competitive AI deals. Develop thought leadership content and market education programs that shape how the industry thinks about building with AI on enterprise data. Conduct ongoing

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About the job Build the test systems that help deliver AI hardware at production scale. As a Staff Hardware System Test Engineer, you'll develop manufacturing test solutions for complex compute systems. Your work will help ensure products reach customers with the quality and reliability expected from Graphcore. You'll shape how hardware is tested across Host Processor Modules, server blades, and multi-node racks. The tools, test content, and diagnostics you create will directly influence manufacturing efficiency and product quality. You'll develop test software, design test approaches, and solve challenging hardware issues. You'll work closely with hardware, firmware, software, and manufacturing teams to improve test coverage and diagnose problems quickly. This role offers broad technical scope across silicon, boards, systems, software, and manufacturing. You'll have the opportunity to influence engineering decisions and raise technical standards across the organisation. The team and culture The Product Test and Diagnosis team owns the strategy for finding and diagnosing hardware defects throughout the product lifecycle. The team works across silicon, boards, servers, and rack-scale systems. Day to day, engineers work closely with design, firmware, software, quality, and manufacturing teams. Problems are solved through data, technical debate, and hands-on investigation. You'll join a global engineering group spanning the UK, Taiwan, India, and the United States. People are trusted to take ownership, make decisions, and drive improvements that deliver measurable results. What we're looking for Essential: Significant experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Strong technical leadership as an individual contributor, with experience owning substantial technical workstreams and collab

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