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Experience Level
Experience
Qualifications
Proven experience in AI and machine learning frameworks. Strong programming skills in Python, R, or Java. Excellent problem-solving abilities with a focus on data-driven decision-making. Ability to work collaboratively in a fast-paced environment. Master's degree in Computer Science, Engineering, or a related field is preferred.
About the job
Amigo seeks an Applied AI Engineer in Amsterdam to help advance its products and services through artificial intelligence. This position centers on applying AI techniques to real-world challenges, aiming to enhance efficiency and outcomes for clients.
Role overview
This role involves working with AI-driven solutions to support product improvements. The focus is on practical applications that create measurable value for Amigo’s clients and internal teams.
Location
This position is based in Amsterdam.
About Amigo
Amigo is a pioneering company in the tech industry, dedicated to pushing the boundaries of innovation. We pride ourselves on our collaborative culture and commitment to using cutting-edge technology to solve real-world problems. Join us to be part of a dynamic team that values creativity and excellence.
Full-time|Remote|Amsterdam, Netherlands; London, United Kingdom; Remote - Europe
Join Nebius and Shape the Future of AINebius is pioneering a transformative approach to cloud computing, dedicated to empowering the global AI economy. Our mission is to provide the essential tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and the necessity of…
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|On-site|Amsterdam, Netherlands; London, United Kingdom
Why Join Nebius?At Nebius, we are at the forefront of revolutionizing cloud computing to empower the global AI economy. We provide innovative tools and resources that enable our clients to tackle real-world challenges and transform industries without incurring hefty infrastructure costs or needing extensive in-house AI/ML teams. Our workforce operates on the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and visionary 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 throughout Europe, North America, and Israel. Our team exceeds 1,400 talented professionals, including over 400 highly skilled engineers proficient in both hardware and software engineering, complemented by an in-house AI R&D division.The RoleIn an ever-evolving landscape, trust in AI hinges on AI agents being grounded in current, verified real-world data. Search is the cornerstone that enables this reliability. In this pivotal role, you will establish the standards for quality within a search system designed specifically for AI agents from the outset.Your ResponsibilitiesManage end-to-end search-related quality metrics: from their definition and computation to the evolution and transition to next-generation metrics.Design and conceptualize analytics architecture across the entire stack: runtime behavior → data pipelines → metrics → dashboards.Develop and sustain analytics pipelines and tools using Python.Convert product, user, and technical requirements into impactful, actionable metrics.Question existing quality assumptions and advocate for enhanced, more reliable measurements.Collaborate with product managers, engineers, and stakeholders to ensure analytics align with system behavior and business objectives.Diagnose metric anomalies, investigate quality regressions, and recommend data-driven improvements.
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.
About CuspAICuspAI is a pioneering AI company dedicated to unlocking breakthrough materials essential for advancing human progress. While nature has taken billions of years to refine molecules, we leverage the power of AI to achieve trillion-dollar material breakthroughs in mere months instead of millennia. Our founding team is recognized as the most cited globally, featuring elite researchers in AI, chemistry, and engineering.We tackle some of the most pressing and complex challenges, including energy solutions, clean water access, future computing technologies, and carbon capture. This is merely the beginning of what our innovative 'search engine' for next-generation materials can achieve.Join our diverse and forward-thinking team at the intersection of AI and materials science, where your contributions will foster impactful partnerships and drive innovation, scalability, and collaboration across industries. Your work is significant—let’s make it count.Be part of the on-demand materials revolution. Join us!
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.
Full-time|Remote|Amsterdam, Netherlands; London, United Kingdom; Remote - Europe
Why Join Nebius?Nebius is at the forefront of a transformative era in cloud computing, dedicated to empowering the global AI economy. We develop innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize industries without incurring hefty infrastructure costs or the necessity of extensive in-house AI/ML teams. Our team members are at the cutting edge of AI cloud infrastructure, collaborating with some of the most innovative leaders and engineers in the industry.Our Work EnvironmentWith our headquarters in Amsterdam and a listing on Nasdaq, Nebius boasts a global presence with research and development hubs across Europe, North America, and Israel. Our diverse team of over 1,400 professionals includes more than 400 highly skilled engineers with deep expertise in both hardware and software engineering, alongside a dedicated in-house AI research and development team.We are on the lookout for a Senior Applied Machine Learning Engineer to join our rapidly expanding team focused on creating an agent-native search platform for AI systems, which represents the next generation of web access for AI. In this pivotal role, you will design and deploy machine learning models that enhance retrieval, ranking, and indexing at scale, ensuring AI systems can access up-to-date and reliable information in real time. This is a high-impact position working on a production-level system utilized 24/7, addressing challenges similar to those found in large-scale web search.
Full-time|On-site|Amsterdam, Netherlands; London, United Kingdom
Why Join NebiusNebius is at the forefront of a transformative era in cloud computing, dedicated to empowering the global AI economy. We develop innovative tools and resources that enable our customers to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure expenses and eliminating the need for extensive in-house AI/ML teams. Our workforce operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most skilled and visionary leaders and engineers in the domain.Our Work EnvironmentWith our headquarters in Amsterdam and publicly listed on Nasdaq, Nebius boasts a global presence with R&D facilities across Europe, North America, and Israel. Our diverse team of over 1,400 professionals includes more than 400 highly qualified engineers with profound expertise in both hardware and software engineering, complemented by an in-house AI R&D team. The ProductIn today’s fast-paced world, confidence in AI systems relies on AI agents being anchored in accurate, up-to-date real-world information. Search functionality is essential to achieve this.We are developing an agent-centric search platform tailored specifically for AI systems, rather than traditional human users. Our product offers programmatic, low-latency, and observable search APIs that AI agents utilize to access, filter, and reason over real-world data at scale.The RoleWe are seeking a Senior Software Engineer to contribute to the runtime systems of our innovative search engine designed for agentic AI applications.In this capacity, you will be responsible for developing low-latency, high-throughput systems that deliver search results in real-time. Your work will be pivotal in managing user-facing requests, where factors like performance, predictability, and efficiency directly influence product excellence. You will architect and manage systems capable of processing thousands of requests per second while adhering to strict latency requirements, optimizing every aspect from request handling to data retrieval and response generation.
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 and AI integration.
Join Celonis as a Senior Applied AI Solutions Consultant, where you will leverage your expertise in artificial intelligence to drive transformative solutions for our clients. In this role, you will collaborate with cross-functional teams to design and implement innovative AI strategies tailored to enhance operational efficiency and decision-making processes.As a pivotal member of our team, you will engage directly with clients to understand their unique challenges and develop customized AI solutions that deliver measurable results. Your insights will play a critical role in shaping the future of business intelligence and operational excellence.
Fever is a technology platform that brings culture and live entertainment closer to people worldwide. Each month, more than 300 million users across over 55 countries use Fever to discover new experiences. Event creators also rely on Fever’s tools and insights to reach wider audiences and grow their events. The company works with partners such as Netflix, F.C. Barcelona, and Primavera Sound, and is backed by global investors. Fever’s mission is to redefine how people connect with live events through technology and data. Role overview The AI Search Innovation Strategist will shape how Fever’s brand is found in the changing landscape of organic search. This position combines strategic thinking, creativity, and advanced technology. The strategist will work closely with Product, Engineering, Data, and Marketing teams, using advanced tools and data insights to achieve measurable results across major search engines and digital platforms. What you will do Test new tools, managed content platforms (MCPs), and search technologies to push Fever’s search strategy forward. Investigate how large language models (LLMs) generate responses, and develop methods to measure their influence. Go beyond traditional SEO, focusing on clear outcomes and strengthening brand authority in the next phase of search. Work with teams across the company to improve organic search visibility and engagement. Location This role is based in Amsterdam.
Amigo is looking for an Applied AI Engineer to join the team in Amsterdam. This role centers on developing and enhancing AI-powered features that support the company’s products and services. Key responsibilities Collaborate with colleagues from different departments to design, build, and optimize AI models. Use current AI technologies to address practical challenges faced by clients and stakeholders. Contribute to making sure AI solutions perform well, remain dependable, and support business objectives. Location This position is located at Amigo’s Amsterdam office.
Amigo seeks an Applied AI Engineer in Amsterdam to help advance its products and services through artificial intelligence. This position centers on applying AI techniques to real-world challenges, aiming to enhance efficiency and outcomes for clients. Role overview This role involves working with AI-driven solutions to support product improvements. The focus is on practical applications that create measurable value for Amigo’s clients and internal teams. Location This position is based in Amsterdam.
Join our innovative team at Devoteam as a Microsoft Agentic AI Developer. In this pivotal role, you will leverage your expertise in artificial intelligence to develop cutting-edge solutions that enhance user experience and drive business efficiency. Your contributions will directly influence our clients’ success by delivering high-quality AI applications that meet market demands.
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.
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.
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.
Internship|Remote|Amsterdam, Netherlands; Berlin, Germany; Remote - Europe; Remote - United States
Why Join Nebius?Nebius is at the forefront of a new era in cloud computing, specifically tailored to support the burgeoning global AI economy. We equip our clients with innovative tools and resources, enabling them to tackle real-world challenges and revolutionize industries without the burden of exorbitant infrastructure expenses or the need to develop extensive in-house AI/ML teams. Our workforce operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and visionary leaders and engineers in the industry.Our Work EnvironmentBased in Amsterdam and publicly listed on Nasdaq, Nebius boasts a global presence with research and development centers across Europe, North America, and Israel. Our team of over 1400 includes more than 400 highly qualified engineers with expertise in both hardware and software engineering, complemented by a dedicated in-house AI R&D team.The RoleWe are excited to announce a 3–6 month Early Career program within our AI R&D team. As an AI Researcher, you will collaborate with seasoned researchers to address challenges in large language models (LLMs), reinforcement learning, and agentic systems. We seek early-career talents to assist in research on:Reinforcement learning for agents and reasoning modelsDeveloping reinforcement learning environmentsEfficient model distillation and evaluationYour Responsibilities Will Include:Designing and executing experiments to train LLMs and related modelsAnalyzing experimental results and documenting findingsWriting and maintaining code for data mining, processing, and model evaluationCollaborating with team members to explore innovative solutions
Full-time|On-site|Amsterdam, North Holland, Netherlands
Join us as a Client Principal in our vibrant AI Consulting team, specializing in the Energy, Oil & Gas sectors. You will be responsible for leading client engagements, driving innovative AI strategies, and ensuring successful project delivery. Your expertise will shape the future of energy solutions through cutting-edge technology.
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
