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Experience Level
Experience
Qualifications
To succeed in this position, you should possess:A strong background in software engineering, preferably with experience in payment systems. Expertise in reconciliation processes and settlement methodologies. Proficiency in programming languages such as Java, Python, or similar. Excellent problem-solving skills and attention to detail. Ability to work effectively in a team-oriented environment.
About the job
Join our dynamic team at Adyen as a Staff Engineer specializing in Payments Settlement and Reconciliation. In this role, you will be responsible for ensuring accurate and timely settlement of payment transactions while enhancing our reconciliation processes. You will work closely with cross-functional teams to develop robust solutions and improve the overall customer experience.
We are looking for innovative thinkers who are passionate about technology and have a deep understanding of payment systems. If you thrive in a collaborative environment and are eager to take on challenges, we want to hear from you!
About Adyen
Adyen is a leading global payment company that provides a seamless payment experience for businesses of all sizes. Our innovative technology allows merchants to accept payments, protect against fraud, and manage transactions across multiple channels. We are committed to delivering outstanding service and solutions to our partners.
Join JetBrains as a Staff Research Engineer specializing in pre-training technologies. In this pivotal role, you will lead groundbreaking research initiatives aimed at enhancing our AI capabilities. Collaborate with a talented team of engineers and researchers to innovate and implement cutting-edge solutions that push the boundaries of software development a…
At JetBrains, we are passionate about code. Since our inception in 2000, we have dedicated ourselves to creating the most powerful and effective developer tools available. By automating routine checks and corrections, our tools accelerate production processes, allowing developers to innovate and create freely.We are seeking a Research Engineer to take ownership of the training stack and model architecture for our Mellum LLM family. This role is challenging yet rewarding: your mission is to enhance the speed, cost-efficiency, and stability of large-scale training. You will profile, design, and implement modifications to the training pipeline, from architecture to custom GPU kernels as necessary.As a valuable member of our team, you will:Enhance end-to-end performance for multi-node LLM pre-training and post-training pipelines.Identify performance bottlenecks using tools like Nsight Systems/Compute and resolve them through compute/communication overlap, kernel fusion, scheduling, etc.Design and assess architectural choices, including depth/width, attention variants such as GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing/load-balancing.Develop custom operations with Triton and/or CUDA, integrate with PyTorch extensions, and contribute upstream when feasible.Maximize memory/performance enhancements using FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, and NCCL tuning.Ensure robustness in large-scale runs by constructing elastic and fault-tolerant training setups, strengthening checkpointing, enhancing reproducibility, and improving resistance to preemption.Maintain a fast data path through streaming and sharded data loaders as well as tokenizer pipelines, while improving overall throughput and cache efficiency.Establish appropriate metrics, create dashboards, and consistently drive improvements.Efficiently run both pre-training and post-training processes (including SFT, RLHF, and GRPO-style methods) across substantial clusters.We’re excited to welcome you on board if you possess:Expertise in PyTorch and PyTorch Distributed, with experience running multi-node jobs using dozens to hundreds of GPUs.Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or substantial FSDP/ZeRO knowledge.Strong profiling skills (Nsight Systems/Compute, nvprof) and familiarity with NVTX-instrumented workflows.Proficiency in GPU programming with Triton and/or CUDA, including the ability to write, test, and debug kernels.A solid grasp of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and their implications in performance traces.
Full-time|Remote|Amsterdam, North Holland, Netherlands
At Upbound, we are transforming the landscape of modern infrastructure for the Agentic AI Era. As the creators and primary maintainers of Crossplane, we are proud to introduce the Intelligent Control Plane—a pioneering platform layer that empowers infrastructure to be programmable, autonomous, and composable.Our mission is to enable the AI-native enterprise with a foundational platform layer that equips teams to provision, operate, and adapt infrastructure at scale—preparing platforms for both human and AI agents. We collaborate with leading cloud providers, ISVs, and open-source communities to facilitate rapid and confident organizational growth.Currently, Upbound supports Fortune 500 companies and platform engineers across over 100 countries. With more than 100M downloads, Crossplane is utilized by over 1,000 teams worldwide. As a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, we have successfully raised $69M to date. Explore more at upbound.io.In the role of Staff Solutions Engineer (SE) at Upbound, you will play a crucial role in our pre-sales team, supporting various pre-sales initiatives across the EMEA region. Once a lead is identified and qualified, you will engage directly with customers to comprehend their technical business challenges. Your goal will be to guide customers through understanding the value that Upbound's products and solutions can deliver. As a Solutions Engineer, you will cultivate credible technical relationships with our clients by actively listening and articulating the value proposition of our offerings in a manner that aligns with their unique requirements.Solutions Engineers possess an in-depth understanding of Upbound's product roadmap, allowing them to discern when to promote upcoming features versus focusing on existing solutions, based on the customer's medium and long-term vision. You are expected to have a deep insight into the key technical and economic buyer personas and understand what it takes to achieve successful outcomes.
Full-time|Hybrid|Amsterdam, North Holland, Netherlands
Join our innovative team at pinely as a Staff Research Scientist / Principal Deep Learning Scientist, where you'll spearhead groundbreaking AI research initiatives. In this prominent individual contributor role, you will be at the forefront of technical advancements, crafting research strategies that influence the entire team.We are looking for someone with a profound curiosity and a strong history of leadership in AI laboratories. You should possess hands-on experience with neural networks and applied AI research, ready to take the initiative and make tangible contributions to the development and deployment of advanced models.Key Responsibilities:Lead the creation of AI models that underpin all elements of our trading strategies across global markets.Address the ultimate challenge of forecasting the future by “solving” the complexities of financial markets, leveraging your understanding of deep neural networks amidst diverse, noisy, and ever-evolving dependencies.Guide the direction of research and enhance team capabilities through your deep expertise and insights.Participate in all phases of research, from concept generation to deployment, ensuring the seamless integration of new findings into production systems.Qualifications:Experience as a Senior/Staff/Principal Researcher at a prestigious AI lab or as a faculty member (Professor/Lecturer) at a renowned AI research institution (e.g., Stanford, Berkeley, CMU, MIT, Mila, ETH, UofT, Oxford, UCL, NYU, Princeton).Preferred expertise in competitive, application-driven AI domains such as LLMs, reasoning architectures, generative modalities (e.g., video), or mechanistic interpretability.A drive for impactful research depth with a focus on contributing meaningfully to both the team and the wider field.What We Offer:A unique opportunity to make significant contributions across the entirety of our trading portfolio.Competitive compensation with exceptional profit-sharing potential.A research-driven environment where your deep technical insights directly influence outcomes.Flexibility to work part-time alongside your academic lab commitments.A culture that fosters personal initiative, supports exploration of new ideas, and acknowledges outstanding performance.Flexible work options, with the choice of working from our Amsterdam office or fully remotely, along with potential business travel as needed.
Join Databricks as a Senior Solutions Engineer specializing in the Healthcare & Life Sciences sector. In this pivotal pre-sales role, you will collaborate with our sales team to craft exceptional solutions that meet the unique needs of our clients in the healthcare domain. Your expertise will help drive innovation and efficiency, ensuring our clients can harness the power of data to transform their operations.
Join Databricks as a Solutions Architect specializing in pre-sales engagements. In this role, you will leverage your technical expertise and client-facing skills to drive the adoption of our cutting-edge data and AI platform. Collaborate with sales teams to design solutions that meet customer needs, deliver compelling presentations, and assist in the creation of proposals. Your insights will help shape our product offerings and drive strategic initiatives.
At JetBrains, we are passionate about crafting exceptional developer tools. Since our inception in 2000, we have dedicated ourselves to creating the most effective and innovative solutions for developers around the globe. With the rise of AI-assisted technology, we are at the forefront of integrating these advancements into our integrated development environments (IDEs). Join our Agentic Models team as a Research Engineer, where you will play a pivotal role in developing multi-step coding agents capable of comprehending extensive codebases, strategizing modifications, utilizing tools, and engaging interactively with users. You will be responsible for designing models, training loops, and evaluation pipelines that drive these intelligent coding agents. Your work will involve merging supervised fine-tuning (SFT) techniques with reinforcement learning (RL) methodologies, coupled with product-oriented evaluations, leveraging our distributed GPU and MapReduce clusters to deploy models across JetBrains products.
At JetBrains, we are driven by a passion for code. Since our inception in 2000, we've dedicated ourselves to crafting the most powerful and efficient developer tools available. As AI-driven coding agents become integral to Kotlin development, we are committed to ensuring these tools excel in their purpose. The Kotlin AI Value Stream team plays a pivotal role in how AI agents comprehend, generate, and enhance Kotlin code across diverse platforms, including Android, Kotlin Multiplatform, server-side, web, and desktop applications. We develop evaluation infrastructures, error analysis tools, and post-training pipelines that assess and enhance agent performance on actual Kotlin developer tasks. In your role as a Research Engineer with our team, you will take charge of the complete feedback loop: Analyze failures in Kotlin code generated by agents, devise evaluations to identify those failures, research and implement strategies for improvement, and measure the outcomes. Your contributions will significantly influence how millions of developers interact with Kotlin through AI coding agents.
Are you a visionary engineer who has successfully built agentic systems? Have you deployed LLM-powered features into production, distinguishing between impressive demos and scalable, functional solutions? If you find yourself bogged down by mundane CRUD operations, we have an exciting opportunity for you!Join us at Carv as an AI Native Staff Engineer. We are at the forefront of integrating agentic AI systems within the recruitment sector, and we're seeking a seasoned professional who has substantial experience in this domain to join our dynamic team.Key ResponsibilitiesDevelop AI-Driven Product SystemsCreate and implement comprehensive AI-powered product features from concept to deployment.Design architectures that seamlessly integrate LLMs, agents, and conventional software systems.Implement Retrieval-Augmented Generation (RAG) pipelines, structured reasoning flows, and tool-using agents.Enhance the reliability, latency, and cost-effectiveness of our solutions.Leverage AI for Engineering ExcellenceUtilize AI agents to enhance development speed, testing efficiency, and architectural decisions.Rapidly prototype and deliver production-ready systems.Establish internal AI tools to amplify team productivity.Pushing the limits of what current AI models can achieve.Drive Impactful SolutionsTransform product challenges into scalable AI-driven solutions.Evaluate real-world performance metrics like accuracy, business impact, and user experience.Prioritize production resilience over mere demo quality.Cultivate an AI-First Engineering CultureElevate our internal AI utilization standards.Set practical benchmarks for evaluation and iterative improvement.Mentor fellow engineers on AI-native methods and workflows.Contribute to the long-term technical strategy of the organization.Who You AreWe are looking for someone who:Incorporates LLMs into your daily work processes.Has experience creating agents, RAG systems, or AI-powered applications.Values practical reliability over theoretical perfection.Thinks in terms of orchestration beyond just prompts.Regularly experiments with new models and tools.We place less importance on:An academic background in ML.Publishing research papers.Training models from scratch.We value more:Your tangible outputs.Your ability to leverage AI for increased velocity.Your perspective on systems that incorporate AI components.Why Work With Us?At Carv, we are revolutionizing recruitment by placing AI at the center of our product development rather than as an afterthought.Join us, and you will:Collaborate with seasoned SaaS leaders with over 15 years of industry expertise.Gain significant ownership over architecture and AI strategy.Thrive in a high-velocity, high-impact environment.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
Are you a young academic talent in the STEM field ready to become one of the architects of the world’s most innovative simulation and training systems within military and civil aviation? Do you want to leverage your technical expertise to contribute to groundbreaking simulation technologies or master them? Join us in a collaborative environment with a multidisciplinary team of professionals in a cutting-edge high-tech setting. Here, you will not only have the opportunity for personal growth but also the resources to make a significant impact on our stakeholders! The success of aviation operations is no longer determined solely in the air but by the advanced simulations and training that precede them! – Achieve this with us.What Will You Do?As an R&D Engineer for Training Systems, you will focus on a broad development of knowledge regarding the latest simulation technologies, components, and architectures, and how to effectively and securely combine and integrate them into sustainable training system solutions for aviation. This role requires a solution-oriented and agile mindset to optimally align user requirements, desired and necessary functionality, and feasibility on technical, financial, and organizational levels. Collaborating with your colleagues, you will advocate for and connect the diverse interests of all involved stakeholders. Additionally, you will assist end-users in validating future and existing training systems, elevating these systems to a higher operational user level while ensuring compliance with aviation regulations. You will regularly collaborate with colleagues from other teams on various projects that deliver high-quality technological simulation and training solutions to end-users in aviation operations. Consider (inter)national networks with next-generation flight simulators for joint training of pilots and crew members in complex operational conditions, immersive XR environments for aircraft maintenance training, or AI-driven simulation systems supporting operational users of autonomous flying systems. Your role will also involve frequent contact and interactive working sessions with these users to develop groundbreaking comprehensive solutions. Your enthusiasm and willingness to enrich your understanding of the operational world of these users are essential. This will involve not only desk work but also on-site engagement with these operational users, along with regular collaboration with...
Since its inception in 2018, Bitvavo has been at the forefront of revolutionizing digital asset trading, seamlessly connecting traditional currencies with innovative digital assets. Our platform boasts transparent fees, an extensive asset range, and a user-friendly interface, making the future of currency accessible to everyone.In just two years, Bitvavo has emerged as the market leader in the Netherlands and ranks among the largest in Europe, with a thriving community of over one million users exchanging tens of billions in digital assets annually.We are actively seeking driven and talented individuals to join our Amsterdam team in making digital assets universally available.About the RoleWe are in search of a Senior Staff Engineer, Frontend to redefine how Bitvavo enhances customer experiences across all frontend products.Given that most user interactions occur through our app, this role emphasizes mobile development, with a significant impact across all user-facing interfaces. You will be pivotal in defining our approach to product development, ensuring our engineering teams can deliver swiftly, confidently, and with outstanding quality.This position holds considerable influence across departments, allowing you to shape engineering practices at Bitvavo, establishing principles and systems that guarantee our products remain reliable, fast, and enjoyable for users.Your ResponsibilitiesDefine the technical strategy for all of Bitvavo’s frontend systems.Influence product development processes to deliver fast and seamless user experiences.Collaborate with product and design teams to create intuitive and consistent user interfaces.Lead initiatives focused on enhancing performance, accessibility, and developer productivity.Ensure our products efficiently manage low-latency data interactions at scale.Mentor fellow engineers and foster technical leadership across the organization.Contribute to the operational framework of engineering as Bitvavo continues to scale.QualificationsOver 10 years of experience in developing large-scale, user-facing applications, with a strong emphasis on mobile technologies.Expertise in React Native, React, along with familiarity in iOS and Android native development.Demonstrated success in leading projects that significantly enhance technical quality and user experience.Experience with low-latency or real-time data systems.
Join us at Carv as we revolutionize the recruitment landscape with cutting-edge AI technology. As an AI Native Staff Engineer, you will leverage your experience in building autonomous systems to develop and deploy LLM-powered features that work seamlessly at scale.Your role will go beyond mere CRUD operations; you will architect innovative AI-driven solutions that transform product challenges into scalable success. Your expertise will help shape our AI engineering culture and influence the future direction of our technology.Key ResponsibilitiesDevelop Advanced AI Product SystemsDesign and launch AI-enhanced product features from concept to delivery.Architect systems that integrate LLMs, AI agents, and traditional software components effectively.Implement RAG pipelines, structured reasoning flows, and agent-based tools.Continuously enhance system reliability, response times, and cost-effectiveness.Maximize AI Engineering EfficiencyUtilize AI agents to expedite development processes, testing, and architectural decisions.Rapidly prototype and deliver production-quality systems.Establish internal AI tools that amplify team productivity.Pioneer new possibilities with state-of-the-art AI models.Deliver Impactful SolutionsConvert product challenges into efficient AI-enabled solutions.Assess real-world effectiveness through metrics like accuracy, business outcome, and user experience.Focus on production reliability over mere demo quality.Cultivate an AI-Driven Engineering CultureSet high standards for AI usage within the team.Develop practical evaluation and iterative processes.Mentor fellow engineers on AI-focused workflows.Contribute to the long-term technical vision.
Join Adyen as a Staff Engineer, Monetization! At Adyen, we empower businesses through innovative payment solutions. Trusted by major brands like Meta, Uber, H&M, and Microsoft, we are the preferred financial technology platform that engineers ambition into success. We foster an environment where our teams can thrive, providing the support and culture necessary for personal and professional growth. Our motivated individuals tackle unique technical challenges collaboratively, delivering ethical solutions that help businesses accelerate their aspirations. As a Staff Engineer for Monetization, you will serve as the technical guide for how Adyen’s systems generate revenue at scale. This pivotal domain influences pricing, billing, and accounting processes for all Adyen products, making it one of the most significant areas within our organization. Your focus will be on the long-term evolution of our architectural framework, anticipating challenges and identifying opportunities to ensure robust technical foundations for future revenue systems. Rather than executing every line of code, you will collaborate closely with Tech Leads and Senior Engineers, providing coaching, guidance, and alignment towards scalable solutions that maintain system integrity. You will have the freedom to innovate and make impactful technical decisions that will shape Adyen's monetization strategies for years to come.
Join our team at Scaleway as a Pre-Sales Architect in Amsterdam! In this role, you will leverage your technical expertise and sales acumen to engage with clients, understand their needs, and provide tailored solutions that help them succeed. You will be a key player in our pre-sales process, collaborating with sales teams to present compelling proposals and demonstrate the value of our cloud services.
Join our dynamic team at Adyen as a Staff Engineer specializing in Payments Settlement and Reconciliation. In this role, you will be responsible for ensuring accurate and timely settlement of payment transactions while enhancing our reconciliation processes. You will work closely with cross-functional teams to develop robust solutions and improve the overall customer experience.We are looking for innovative thinkers who are passionate about technology and have a deep understanding of payment systems. If you thrive in a collaborative environment and are eager to take on challenges, we want to hear from you!
Join WPP Media as a Research Intern and immerse yourself in an innovative environment where creativity meets data-driven insights. As part of our dynamic team, you will assist in conducting comprehensive research that drives strategic decisions and enhances our client offerings. This is a unique opportunity for individuals eager to grow their skills in a fast-paced media landscape.
Why Join Nebius?Nebius is at the forefront of a transformative wave in cloud computing, dedicated to empowering the global AI economy. We provide innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and eliminating the need for extensive in-house AI/ML teams. By joining our team, you'll collaborate with some of the most skilled and visionary leaders in AI cloud infrastructure.Our Work EnvironmentWith headquarters in Amsterdam and a presence on Nasdaq, Nebius boasts a global reach with R&D hubs in Europe, North America, and Israel. Our workforce of over 1,400 includes more than 400 highly skilled engineers specializing in both hardware and software, alongside an in-house AI R&D team.The OpportunityNebius is seeking a Senior Software Engineer to join our Hardware Infrastructure team, based in our Amsterdam office.The Hardware Infrastructure team is responsible for designing, developing, and supporting systems integral to the data center lifecycle.Your Responsibilities:Develop and design services that automate operations across a large server fleet.Qualifications:5+ years of software engineering experience.Strong proficiency in Python or Golang, or a willingness to quickly adapt to these languages.Proven ability to write reliable code and troubleshoot complex issues.Genuine interest in DevOps processes.Fluency in English.Preferred Qualifications:Experience with cloud infrastructure.Familiarity with container orchestration systems.
Please note that this opportunity requires relocation to our Milan office.About SatispaySatispay is on a mission to transform everyday payments, making them straightforward, equitable, and accessible for everyone. Our vision extends beyond payments; we aspire to redefine the future of finance. As a movement, we're empowering millions, united by a common goal of addressing significant challenges in the financial landscape. We're just at the beginning of this exciting journey.We thrive on agility, bold thinking, and a culture of trust where we challenge the status quo, fostering learning and growth at every step. If you seek more than just another job, if you're eager to create something significant alongside a talented team, you’ve found your place!Your RoleAs a Staff Software Engineer within the Consumer Wealth team, you will take on a pivotal and strategic role in shaping how our users cultivate and manage their savings and investments. As the primary technical authority in the Consumer domain, you’ll lead initiatives that empower millions to enhance their financial well-being through our innovative savings products and investment solutions.Daily Responsibilities:Define Technical Strategy: Craft the technical strategy for the Consumer Wealth sector, architecting intricate subsystems that facilitate savings and investment features while considering cross-product impacts, leading efficient initiatives that benefit multiple teams.Advance Architecture: Design and implement scalable, high-performance systems that address complex financial engineering challenges, streamlining sophisticated back-end systems for savings and wealth management.Technical Thought Leadership: Establish cross-departmental relationships to ensure technical coherence, articulating the technical vision both internally and externally, while keeping abreast of emerging trends in FinTech and wealth management.Develop Talent: Nurture the next generation of technical leaders and advocate for a culture of top-tier engineering and continuous enhancement.Generate Impact: Contribute significantly to helping users grow their wealth and achieve their financial aspirations through your work on the Consumer Wealth back-end infrastructure, directly supporting Satispay's mission.Prepare for challenges, collaboration, and the opportunity to realize your ideas. Our tech stack includes a variety of advanced technologies.
About Flexport Flexport works to simplify international trade, aiming to make it more accessible and efficient for businesses worldwide. Each year, the company helps move over $19 billion in goods across 112 countries. Backed by leading investors, Flexport uses technology and a skilled team to address challenges in global supply chains, impacting business operations, society, and the environment. Role Overview: Staff Software Engineer – Applied AI Flexport’s Applied AI team is building AI agents that anticipate issues, optimize shipment routes, and keep goods moving efficiently. These systems are designed to automate logistics while involving experts at key decision points. Early results show strong promise, and the team is focused on creating supply chains that run with greater autonomy. This position is for those who want to shape the future of global logistics through technology. This role goes beyond standard engineering work. The Staff Software Engineer will identify high-impact problems, design creative solutions, and implement them for freight operators working across 112 countries. What You Will Do Develop and launch end-to-end AI agents that handle real-world logistics tasks, including customs compliance, document processing, and exception management. Work closely with teams across the company to understand challenges, align stakeholders, and drive solutions independently. Move quickly from idea to production, treating each deployment as a learning opportunity. Engage with operators, subject matter experts, and leadership to turn complex, ambiguous problems into practical solutions. Location Amsterdam, Netherlands
Full-time|Remote|Amsterdam, Netherlands; Israel; Remote - Europe; United Kingdom
Why Join Nebius?Nebius is at the forefront of revolutionizing cloud computing to empower the global AI economy. We develop cutting-edge tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and reducing the necessity for large in-house AI/ML teams. Our workforce operates at the forefront of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the industry.Our Work EnvironmentBased in Amsterdam and publicly listed on Nasdaq, Nebius boasts a global presence with R&D centers across Europe, North America, and Israel. Our diverse team of over 1400 professionals includes more than 400 highly skilled engineers excelling in both hardware and software development, complemented by an in-house AI R&D team.The RoleThis opportunity is part of Nebius AI R&D, a team dedicated to applied research in AI. Recent applied research published by our team includes:Applying reinforcement learning for agent training in long-context multi-turn scenariosDramatically scaling task data collection to enhance reinforcement learning for software engineering (SWE) agentsDeveloping a decontaminated evaluation system for SWE agents that is consistently updatedInvestigating test-time guided search methods to create more powerful agentsThe outcomes of our research frequently pave the way for collaboration with adjacent teams, allowing practical applications of our findings.We are currently seeking experienced ML engineers at the senior and staff levels to engage in research projects that include:Guided search and reinforcement learning for agentic systemsReinforcement learning applications for reasoning modelsWeb-scale data collection for agent trainingEfficient model distillation techniquesKey Responsibilities:Conducting experiments to identify effective methods for training large language models based on interaction traces with various environmentsExploring guided generation and search methodologies within trajectory spacesDevising innovative strategies for mining relevant data at web scale
