Cross Disciplinary Internship Jobs

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Why you should join the Adyen Account Management team At Adyen, the Account Management team is critical to the growth and success of our business, as well as expanding the Adyen brand across the globe. Being part of our Account Management team, you’ll manage relationships with innovative international merchants, covering multiple industries and channels. You’ll have the opportunity to work on cross-functional initiatives and projects in a fast-paced, highly entrepreneurial environment with high autonomy. You’ll become an expert in the global payments landscape and level up your skills through our AM Academy. We are looking for a proactive and adaptable Enterprise Account Manager to join our team in San Francisco. The ideal candidate is a strategic thinker with a hands-on mentality; someone who is eager to help the world’s biggest brands grow while changing an industry. You are excited to work with a global, multicultural team in a collaborative manner and help your team succeed. Your focus will be on delivering an outstanding customer experience, finding new opportunities, and driving mutual success for Adyen and our customers. Enterprise Account Manager As an Enterprise Account Manager, you will be responsible for developing strong relationships by earning trust with our customers, and providing impactful payments insig

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks,

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, w

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL,

As a Sales Development Representative (SDR), you will prospect, qualify, and generate customer leads to assist in Datadog’s overall business growth segment. By partnering with internal stakeholders, you will help IT and Technology innovators across markets recognize Datadog’s impact in their digital transformation and migration to the cloud. SDRs have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. 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: Collaborate cross-functionally with various Datadog teams Drive initial prospect qualification and schedule discovery meetings Develop, present, and implement strategies for acquiring new business Conduct outbound outreach by cold calling and emailing prospective customers Learn to follow a well-defined methodology to help identify a customer's unique needs Who You Are: Motivated by a career in sales Someone with an innate curiosity to learn Have a desire to succeed alongside teammates Proven in your written and verbal communication Comfortable with being able to learn from rejection Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we enc

RDQ126R35 About Databricks At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation. Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed. About the Role We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions. As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms. Your Impact Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers. Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem. Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities. Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing. Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals. Engage with open-source communities and advocate for best practi

Years of experience: 5+ years Tools: Microsoft Dynamics 365 F&O Technologies: F&O, Power BI, SQL, Azure Domain: Banking experience is a Must The ideal candidate should have a strong background in D365 Finance & Operations, with hands-on experience in both the technical and functional aspects. They should be proficient in configuring and customizing the system to meet our business needs and have a deep understanding of finance and HR processes. Key Responsibilities: Configure and customize D365 Finance & Operations to align with business requirements. Collaborate with the finance team to identify and implement process improvements. Provide technical support and troubleshooting for system issues. Develop and maintain system documentation and training materials. Ensure data integrity and security within the system. Required Skills: Proficiency in D365 Finance & Operations. Advanced proficiency in finance modules (General ledger, Account payable, Account receivable, Fixed assets cash & banks, procurement) Experience in MS Dynamics 365 F&O integration within a third part system. Proficiency in development of customization within D365 F&O Proficiency in Azure and DevOps Strong understanding of finance processes. Experience in system configuration and customization. Excellent problem-solving and analytical skills. Ability to work collaboratively with cross-functional teams. Strong communication and interpersonal skills. Principal understanding of project management and the ability to manage tasks. Identify project risks and mitigate or communicate as necessary.

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. As a Corporate Account Executive , you’ll play a key role in scaling our go-to-market motion by owning and closing complex SaaS deals with companies ranging from 300-2,500 employees. You’ll take a proactive, outbound-driven approach to building pipeline, identifying and engaging high-potential accounts, and running the full sales cycle from first touch through close. Success in this role requires strong prospecting skills, disciplined discovery, and the ability to navigate multi-threaded buying groups across both technical and non-technical stakeholders, with a focus on $50k+ ACV opportunities. You’ll partner closely with Solutions Engineers and cross-functional teams to deliver thoughtful, value-based sales motions tailored to each customer’s needs. As we continue to scale the Corporate segment, you’ll help establish repeatable outbound best practices, influence how we engage this market, and make a meaningful impact on the growth of both the team and the business. About the role Location: Remote-first (United States; BC, Canada). Must reside in Pacific or Mountain Time Zones This role will require an in-person onboarding session in San Francisco, CA Full-time Permanent Exempt Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. United States (all figures cited below in USD and pertain to workers in the United States) $195,000 - $230,000 Canada (All figures cited below in CAD and pertain to workers in ON, Canada) $225,500 -$265,000 For sales roles, the ranges provided are the role’s On Target

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation Research and integrate state-of-the-art technologies to optimize our ML system Ideally you’d have: Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills and the ability to operate in a cross functional team environment Nice to haves: Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the positi

P-160 Who We Are Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems. We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems. What You’ll Do Full-Stack Development : Design, develop, and maintain both front-end and back-end components of our web applications. UI/UX Design : Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You’ll ensure the product provides a seamless experience from end to end. Backend API Development : Architect, design, and implement RESTful APIs and microservices to support the application. Collaboration & Mentorship : Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development. Product Sense : Contribute to product strategy by offering insights

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join a world-class team of engineers building the next generation of enterprise storage solutions. As a key contributor, you'll be at the forefront of innovation, developing and optimizing the Linux kernel to push the boundaries of performance and reliability. You'll play a vital role in shaping the future of our products, collaborating with a brilliant team to solve complex challenges and deliver groundbreaking results. WHAT YOU'LL DO Develop new features within the Linux kernel in support of Pure’s enterprise storage products. Maintain and patch existing code to resolve difficult problems, including customer issues. Optimize performance of the kernel within Pure’s arrays to meet customer requirements Work cross-functionally and with partners and vendors, to diagnose and resolve problems at the boundary of hardware and software Lead the architecture and development of software from initial concept to release, ensuring high-quality, resilient, and high-performance outcomes. Collaborate and share knowledge with peers, providing mentorship as necessary. Participate in code reviews and collaborate with cross-functional teams to define requirements for upcoming enterprise storage server projects. WHAT YOU BRING Deep, hands-on experience in Linux kernel and device driver development, with a proven ability to ship high-performance, resilient products. A strong foundation in computer architecture, operating s

P-375 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences. Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth. We are seeking exceptional technical leaders with a stellar track record to drive these transformative efforts. Your role will be crucial in: Complete ownership of multiple platforms: You will be responsible for defining and owning execution on a few dimensions of critical importance for the company: scalability, pjatformization, reliability. Platformize serving infrastructure : Design abstractions that can support a wide range of current as well as emerging use cases (such as AI), determine the right tradeoffs and build consensus across Databricks to create as well as scale seamless product experiences for customers. Drive cross org impact, collaborate and build consensus among different stakeholders across several functions. Re-architecting Platforms for scale : Redesign our existing systems to handle 10X to 100X increase in scale. Build amazing developer experience : Revolutionize platform onboarding to cut down time from weeks to mere hours, enhancing efficiency and

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Senior Data Scientist. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop best practices for instrumentation and experimentation and communicate

Key Responsibilities Enterprise Data Strategy & Client Engagement: Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives. Serve as a key technical advisor for clients, translating business requirements into innovative data solutions. Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles. Data Modeling, Design & Engineering: Design and optimize both logical and physical data models to support enterprise-wide systems. Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics. Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance. Technology Evaluation & Implementation: Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management. Team Leadership & Hands-On Management: Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects. Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues. Ensure project milestones are met through effective resource management and team coordination. Performance, Security & Best Practices: Optimize data storage, retrieval, and processing performance across various systems. Collaborate with security teams to enforce data governance, compliance, and privacy standards. Establish and promote best practices in data management, data engineering, and architecture design. Documentation & Reporting: Develop and maintain comprehensive documentation covering data architecture designs, data flows, integrati

Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in — direct Employer of Record (EOR), Agent of Record (AOR), payroll, and compliance capabilities backed by a decade of practitioner-led expertise. Recognized as a category Leader by NelsonHall and Everest Group, Atlas HXM builds Human Experience Management into everything we do, guided by our "For People, by People" principle. The future of work is borderless, and so are we. Our people are located around the globe — in the U.S., the UK, India, Colombia, China, and beyond. Diversity and belonging are not just values; they are who we are. We are also committed to making a positive impact. Through our Environment, Social, and Governance (ESG) impact initiative, we are addressing our environmental footprint and promoting social responsibility. Our impact program is central to our vision and culture, focusing on employee wellness, diversity, charitable work, and ethical corporate governance. The Account Executive will drive new business growth by independently sourcing, managing, and closing high-value strategic opportunities in the Employer of Record (EOR) space, with a consistent focus on winning deals and expanding market presence. Key Attributes EOR Experience Deep understanding of the EOR landscape, global employment compliance, cross-border hiring, onboarding, and workforce solutions. Has previously sold EOR solutions or worked in a provider, demonstrating an ability to speak credibly to HR, legal, and finance stakeholders. Hunter Mentality Self-motivated and tenacious; thrives in outbound-focused environments. Actively sources new leads via cold outreach, networking, social selling, and strategic prospecting. Builds a strong personal pipeline without reliance on inbound marketing. Proven Closer Exceptional track record of closing complex, high-value B2B deals with a win rate