Systems Research Engineer Intern in Amsterdam

About BlockTech BlockTech is a fast-paced algorithmic market maker facilitating global derivatives and spot trading, originating from crypto markets and expanding into new markets. We trade our own capital on systems that run 24/7 and have to be fast and correct without exception. Our systems run on Linux and are written in Rust and Python. For the Summer of 2027, we're looking for Software Engineer Interns to join our engineering team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a project from design to deployment guided by experienced software engineers. Work with production-level data and systems Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year studying computer science or a related discipline at a top university in Europe Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting with 5th of July Proficiency in a systems language (ideally Rust and/orC++) and working knowledge of Python A solid grasp of data structures, algorithms, and what actually makes code fast A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time software engineers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading using state-of-the-art technology, in an envi

About the Role We're looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage its full lifecycle — turning racks of GPUs into running inference clusters without a human touching a runbook. The Research and Inference team is your customer: today they file tickets and wait; the target state is that they issue a single API call to stand up, scale, or tear down a cluster, and the system takes care of the rest. The platform is manifest-driven such that teams declare the desired state of a cluster or host — shape, topology, software stack — and the system is responsible for reconciling reality to that manifest, continuously, through every stage of its lifecycle. You will design the engines that manifest the schema, the engines that execute against it, and the workflows that carry a piece of hardware or a cluster from one state to the next—taking it from bare metal to a fully functioning AI cluster for training or inference. You'll write production code which is typed, tested, versioned, and deployed through CI/CD that models infrastructure state and reconciles it, the same way a Kubernetes controller reconciles a cluster's desired state. Success looks like eliminating manual provisioning work, not documenting it better. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions. Build the self-service API: design declarative

AI Engineer - FDE (AI Forward Deployed Engineer) Req ID: CSQ427R333 Location: Location: Amsterdam, Netherlands - Candidates to be based in the Netherlands region only (no remote working available from any other country) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTo

About BlockTech BlockTech is a fast-paced algorithmic market maker at the frontier of cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance. For the Summer of 2027, we're looking for a Quantitative Research Intern to join our option pricing team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a research project from design to deployment guided by experienced Quantitative Researchers. Understand how technology and research enable our trading, market data, and infrastructure systems Collaborate with fellow researchers and software engineers to bring your project to success Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year and enrolled in, or planning to pursue, at least a Master’s degree in a quantitative field at a top European university. Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting on the 5th of July Working knowledge of Python A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time quantitative researchers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading, in an environment that embraces AI to both ac

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. We’re looking for a Product Designer for our Customs & Trade Services team. In this role, you’ll design the tools that enable users to navigate customs, compliance, and ever-changing regulations across global shipments. You’ll drive design decisions, simplify highly complex customs processes, and help shape how technology transforms an industry undergoing significant modernisation. Your work will set a high standard for design quality, support global trade compliance, and influence the direction of products with broad impact for both customers and internal teams. You Will: Apply a systems-thinking mindset to design decisions, proactively addressing edge cases to deliver robust, high-impact solutions. Conduct user research and gather insights. Leverage AI and emerging technologies to drive efficiency and elevate design outcomes. Collaborate across functions to define and execute the design vision and strategy in a complex, rapidly evolving environment. Give and solicit feedback from other designers to continually raise our bar for quality. Build prototypes to share and test concepts. Translate deep user research into actionable requirements that champion u

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. Engineering Manager: Data Delivery Platform The Data Delivery Platform team owns how data reaches our customers, not what the data means. We own the mechanics of every surface: file generation and transfer, the reporting framework, the dashboard shell, and the backend that runs it. We bridge complex backend financial data with intuitive, merchant-facing workflows, building critical systems like our Reconciliation Experience, where merchants can seamlessly inspect, manage, and reconcile their numbers with absolute accuracy. As Engineering Manager for Reporting Platform you lead a cross-functional team. Our team operates at the intersection of innovation and scale. We act as an experimental hub, doing active research on emerging technologies, while ensuring we build a high standard, scalable, and sustainable platform that supports global enterprise merchants. What You Will Do People and Team Leadership: Act as a dedicated mentor and coach to grow engineering talent. Handle extensive people management, headcounts or hiring, talent development, and navigate complex team dynamics or conflict resolution with empathy and clarity. Balancing Innovation and Scalability: Lead an experimental, forward thinking team while ensuring solutions are robust, elegant, simple, and scalable for millions of global merchant interactions. Merchant facing Ar

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As AI reshapes how consumers search, discover, and choose brands, Trustpilot’s unique dataset of authentic human sentiment is becoming increasingly critical. We are uniquely positioned to define how trust and reputation function in an AI-driven digital economy and we’re building an inclusive environment where curious, ambitious people can do the best work of their careers. To support Trustpilot’s rapid expansion, we’re looking for a Student Assistant to join our BENELUX Sales Team in Amsterdam. With us you’ll have the opportunity to try new things and figure out where you want to take your career. We hope we’ve grabbed your attention so far, please keep on reading for more details about the role. What you’ll be doing: In this role you will be supporting the sales team with both low and high tasks such as: Research and identify potential leads Use lead generation tools to gather contact information Qualify leads based on specific criteria Maintain accurate lead records in the CRM system Collaborate with the sales team for correct lead handoff and knowledge sharing Coordinate customer-facing materials, including documents, presentations, design and other sales collateral Support event planning and coordination, including lead management before and after events, and run email cadences and outreach activities on behalf of the sales team We’d like you to be able to work approximately 10-20 hours per week, but we are of course flexible depending on what your study schedule looks like. Who you are: You have a positive, proactive mindset and are eager to learn You’re interested in commercial organizations and how they operate You have a strong motivation

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. About the Role We are looking for a GTM Systems Manager to join our Revenue Operations team. In this role, you will own a portfolio of commercial technologies and be responsible for their strategy, roadmap, performance, and continuous improvement. You will work closely with commercial teams to understand their needs, identify opportunities, prioritize investments, and ensure the tools you own deliver measurable value. A key part of the role is also preparing our commercial technology stack for AI and automation. You will use agentic software tools and AI coding assistants to build custom workflows, integrations, and solutions that improve how our GTM teams operate. What are your responsibilities? Own the roadmap: Define and maintain the roadmap for the tools in your portfolio, balancing business priorities, user needs, technical opportunities, and platform capabilities. Optimize the tech stack: Improve how existing tools are configured and used, drive adoption of new capabilities, and identify opportunities to consolidate or replace technology. Build AI & automation solutions: Use agentic development tools and AI coding assistants to build workflows, integrations, scripts, and applications that solve GTM challenges. Evaluate & implement tools: Assess new platforms, lead implementations, and ensure new technology fits our bro

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 You'll be the technical lead for one or two enterprise Account Executives covering [Health / Finance / MSPs / Public Sector] accounts in the Netherlands. You own the technical win: understanding what the customer is actually trying to do, designing the right data platform for it, proving it works, and getting it signed off. You'll spend most of your week with customers and partners, not in internal meetings. We've moved from all-flash arrays to the Enterprise Data Cloud — a single platform for block, file and object, on-prem and in the public cloud, with Portworx for Kubernetes workloads. In the Netherlands we sell through a strong partner channel and directly to some of the country's largest organisations, and the team is growing. WHAT YOU'LL DO.. Partner with your AE(s) on account strategy: which opportunities to pursue, how to position against the incumbent, what the customer's real decision criteria are Run discovery with infrastructure, platform and application teams; translate business requirements into architectures that hold up in production Design and present solutions across FlashArray, FlashBlade, Portworx, Evergreen and Pure Fusion — and know when something outside our portfolio is the right answer Own proofs of concept, benchmarks and competitive evaluations end to end Work alongside our Dutch partners (resellers, MSPs, system integrators) so the customer gets one coherent proposal, not two Lead techn

About the Role Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability Manage, develop and coach the SRE Team. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI’s infrastructure Requirements 7+ years of professional SRE or related experience Ideally 2 years as a Lead SRE Bachelor's degree in Computer Science or a related field or equivalent work experience Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Advanced knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tu

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Hybrid at our office in Amsterdam or Remote in the UK. Responsibilites Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinkin