Staff Research Engineer (Pre-training)

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.

About Software Improvement Group Software Improvement Group (SIG) helps organizations strengthen their software quality through detailed source code analysis and hands-on consultancy. Our Sigrid platform supports software portfolio governance, giving clients more control over their technology landscape. With guidance from experienced consultants, clients can turn software into a reliable asset instead of a risk factor. Role Overview: AI Research and Development Engineer Based in Amsterdam, this role sits within the CTO Office. The AI R&D Engineer will focus on designing and prototyping AI-driven solutions for software engineering challenges. The work blends experimentation, engineering, and applied research. What You Will Do Develop rapid prototypes and applications powered by AI Run internal experiments using large language models (LLMs), prompt engineering, and AI coding assistants Analyze data and contribute to machine learning projects, especially those related to software quality and development practices This position suits someone who enjoys quickly building and testing new ideas, especially in a team that values experimentation and innovation. Why Join SIG? Work in a small, innovation-focused team with room to experiment Influence SIG’s AI strategy and future product direction See your work shape client-facing solutions and the evolution of our offerings

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 our passion for coding. Since our inception in 2000, we have been dedicated to developing the most powerful and effective tools for developers worldwide. Our innovative solutions automate routine checks and corrections, accelerating the production process and empowering developers to innovate and create.Currently, we are in the process of building advanced services and intelligent tools designed to provide both AI coding agents and end users with profound insights into codebases. Our existing code retrieval service has already demonstrated significant enhancements in agent performance and task execution. We are eager to advance this further by extracting more comprehensive insights beyond mere snippets, across numerous repositories.We seek a talented AI Engineer to design and implement intelligent tools from the ground up, ensuring that coding with agents becomes smarter, quicker, and more dependable.

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 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 passionate AI Developer with experience in .NET and Azure AI Foundry? Join our innovative team at Devoteam in Amsterdam, where we harness cutting-edge technology to drive business transformation. As an AI Developer, you will be responsible for designing and implementing AI solutions that meet our clients' needs. Your expertise will help us deliver outstanding results in a fast-paced environment.

Mendix builds a low-code application development platform used by organizations worldwide to launch new ideas quickly. Since joining Siemens in 2018, Mendix has blended the scale of a global software company with the flexibility of a fast-growing team. The Solutions Engineer - Core AI position is available in several cities: London, Rotterdam, Amsterdam, Munich, Berlin, Erlangen, Frankfurt, or Stuttgart. This role centers on developing and scaling hybrid agentic workforces by combining low-code tools, AI, data, and system integrations. The goal is to help organizations efficiently create and orchestrate agents and applications. What you will do Design and build customer-facing prototypes and lighthouse projects to test and validate AI-driven integration scenarios. Lead strategic workshops and technical sessions with both customers and internal teams, focusing on agentic AI workflows and advanced integrations. Transform successful customer projects into reusable assets, such as reference architectures, blueprints, accelerators, and scalable patterns. Act as the technical lead for agentic system design, guiding tool selection, orchestration, and multi-agent strategies. Develop and manage complex integration architectures to ensure smooth operation across diverse platforms.

Join Reaktor's Award-Winning Tech Community as an AI Developer!At Reaktor, we are on the lookout for innovative AI Developers to enhance our team in Amsterdam. If you excel in utilizing advanced AI technologies, crafting applications powered by large language models (LLMs), and steering projects through the complete software development lifecycle, we want to hear from you! Immerse yourself in our collaborative, low-hierarchy environment where your insights and creativity can lead to significant outcomes.Role OverviewAs an AI Developer, you will be a key player in a wide range of AI-focused software development tasks, encompassing everything from front-end design to production deployment.Your Responsibilities:Crafting and executing end-to-end applications powered by LLMs, including backend architecture and user interfaces, while ensuring both scalability and maintainability.Integrating commercial and open-source LLMs (such as OpenAI, Anthropic, Meta Llama) into production systems, employing APIs or fine-tuning methods.Developing end-to-end retrieval-augmented generation (RAG) pipelines, incorporating embeddings, vector databases (e.g., PostgreSQL with pgvector, ChromaDB, Pinecone), and effective prompt engineering strategies.Creating evaluation pipelines for model performance benchmarking and safety assurance.Collaborating with diverse teams to develop AI applications that tackle complex business challenges.Engaging with clients' technological and business teams to identify appropriate solutions tailored to their requirements.Providing exceptional technical expertise to both clients and team members.Conducting other software development tasks, including architectural contributions, test automation, and debugging.Candidate ProfileWe seek a curious and proactive AI Developer who is adept in working with LLMs and is comfortable navigating both the backend and frontend aspects of applications. A solid understanding of infrastructure and the principles behind transformer-based models is essential.

At JetBrains, we are passionate about coding. Since our inception in 2000, our mission has been to develop the most powerful and efficient developer tools available. Our tools are designed to automate repetitive tasks, accelerating production and enabling developers to innovate and explore. The AI features integrated into JetBrains IDEs, crafted by the IntelliJ AI team, have swiftly become essential to a developer's workflow. We collaborate with various product teams across JetBrains to infuse cutting-edge AI capabilities that enhance developer efficiency and provide significant value to software engineers. We are excited to welcome a Senior Machine Learning Engineer to our team. In this pivotal role, you will play a key part in realizing our vision of AI assistance throughout the software development lifecycle within JetBrains IDEs. As a member of the ML subteam within IntelliJ AI, you will oversee the end-to-end development of our machine learning systems, defining evaluation metrics, orchestrating context, and customizing AI features to meet the unique needs of product teams.

Be part of our mission to create innovative digital solutionsAt Riverflex, we are dedicated to engineering impactful digital products that are efficient, scalable, and centered around user needs. As a Full Stack/Product Engineer, you will be an integral member of our dynamic engineering team, tasked with developing high-performance software solutions that facilitate business transformation across various sectors. Your work will involve creating client-facing products, internal tools, and prototypes utilizing contemporary web frameworks, cloud technologies, and data-centric architectures.We seek a curious and proactive engineer who flourishes in agile settings and adopts a user-first approach to tackle technical challenges. If you have a passion for writing clean code, mentoring others, and harnessing technology to deliver meaningful results, we would love to hear from you.Your RoleYou will play a crucial role in designing, developing, and delivering comprehensive digital products, spanning from front-end user interfaces to back-end systems and cloud services. We are particularly interested in candidates with hands-on experience implementing LLM APIs and building RAG applications, including work with embeddings and vector searches.

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.

Role overview airapps is looking for an AI/ML Engineer to join the team in Amsterdam. The main focus of this position is to build and deploy machine learning algorithms that enhance product features and improve user experiences. Working alongside a collaborative group, this role helps shape technical solutions and takes projects from initial idea through to implementation. What you will do Design and implement machine learning models for practical, real-world use cases Work closely with colleagues to develop algorithms that strengthen airapps services Apply AI and ML expertise to support the company’s technology goals Location This role is based in Amsterdam and requires on-site presence.

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!

This position is open to candidates of all nationalities who possess the legal right to work in the Netherlands. Please be aware that we cannot provide sponsorship.Why This Role Is ImportantAs an AI Developer at Laterite, you will be a vital member of our Analytics team. Your responsibilities will include the design and execution of AI-driven applications and software solutions aimed at creating a positive social impact. Projects may involve the creation and integration of knowledge graphs using Retrieval-Augmented Generation (RAG), the implementation of generative data augmentation through large language model (LLM) pipelines, the construction of models utilizing Google Earth Engine, and the development of AI models for automated analysis of quantitative and qualitative data to improve decision-making in socio-economic development.A significant aspect of Laterite's mission is working with survey and geospatial data. You will harness this data to construct AI models and embed them into user-friendly applications, enhancing the accuracy and efficacy of our research outputs. Additionally, you will focus on innovative, client-centered AI solutions within the international development sector.About LateriteLaterite is a leading data, research, and analytics firm dedicated to helping clients navigate and analyze complex challenges in international development. We specialize in delivering high-quality research services with a focus on five key sectors: education, public health, agriculture, youth & livelihoods, and urbanization & migration. Our expertise includes tested data collection systems, a skilled research and analytics team, and a deep understanding of local contexts. This unique combination empowers us to conduct comprehensive research projects from design through data collection and analysis.We collaborate with universities, think tanks, international NGOs, multilateral donor organizations, foundations, and government ministries and agencies. Our network of offices spans the Netherlands, Rwanda, Ethiopia, Kenya, Uganda, Tanzania, Sierra Leone, and Peru. Our diverse team comprises over 90 full-time local and international staff and 1,500 enumerators in various countries, fostering a vibrant and inclusive work environment.To learn more about Laterite, visit our website: www.laterite.com.Project OpportunitiesYou may engage in a variety of exciting projects, including:Developing intelligent knowledge hubs to create chatbots for social impact data. This includes improving data retrieval processes by integrating automated data curation pipelines with knowledge graphs, RAG, and LLM agents, as well as curating unstructured data and establishing relationships within knowledge graphs.

Join our dynamic team at Pinely as a Deep Learning Research Group Lead, where you will spearhead innovative AI research initiatives and take full charge of one of our key subgroups. This pivotal role is essential to our organization as our deep learning strategies increasingly drive our business growth each year. The team you lead will have a significant impact across various markets and asset classes.Your Responsibilities:Lead the development of advanced AI models, particularly foundational models for market data, to accurately forecast prices of financial instruments in diverse and rapidly changing markets.Define and steer the research agenda: formulate hypotheses, design experiments, and thoroughly validate findings.Mentor and guide researchers, focusing on recruitment, motivation, development, and retention of top talent.Streamline the research process to ensure it is efficient, transparent, and value-centric.Consolidate results from various researchers into a cohesive, functional product.Engage in coding and strategy development, not merely oversight.Gradually broaden your responsibilities within the deep learning division.Candidate Profile:A passionate and adaptable deep learning researcher with a strong background in technical leadership.Preferably with expertise in competitive, application-driven AI fields such as large language models, reasoning systems, and generative models (e.g., video).Motivated by depth of research and real-world impact, eager to contribute meaningfully to both the team and the broader field.A supportive leader who maintains a high-performance pace while nurturing a positive team environment.While prior trading experience is beneficial, it is not mandatory; we value a first-principles mindset and a readiness to innovate within quantitative markets.What We Offer:Significant influence on a core aspect of the company—deep learning is vital for our growth.Immediate effect on real profit and loss: streamlined processes, rapid feedback loops, and direct evaluation of your contributions.A unique setting for data-driven research, complete with extensive datasets, reproducible experiments, and results substantiated by billions of observations.Robust engineering support and access to a Data Center equipped with H200s, doubling in capacity each year.Engagement with complex challenges in a highly competitive environment characterized by low signal-to-noise ratios and vast amounts of loosely correlated data that demand innovative, rigorous, and advanced solutions.The chance to create foundational models for finance, shaping the future of the quantitative industry.The freedom to experiment, delve into extensive research, and establish your vision for model and strategy development.A top-tier team based in Amsterdam, with strong offline collaboration and a streamlined hierarchy.

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.

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