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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.
JetBrains is a leading software development company known for creating intelligent tools that enhance productivity for developers. With a commitment to innovation and quality, JetBrains provides an environment where creativity and technology intersect.
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JetBrains s.r.o.
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 environ…
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!
NLR - Netherlands Aerospace Centre
Embark on a pioneering PhD journey in aircraft noise modeling and contribute to the future of silent, eco-friendly flight! OverviewAs urban air mobility (UAM) evolves, introducing air taxis and delivery drones to densely populated cities, understanding the human impact of these new noise sources is essential. The complexity of urban structures and the presence of existing noise sources necessitate scientific inquiry into their effects on residents.Current knowledge gaps stem from the inadequacy of existing models to accurately represent UAM noise in urban settings. Traditional noise studies focus on high-exposure areas, such as near runways or flight paths, and fail to account for urban influences on sound propagation. The intricate nature of urban environments requires advanced modeling techniques to analyze how noise from UAM vehicles affects inhabitants.An improved model will enhance our understanding of urban noise perception and guide strategies for noise reduction, whether by optimizing aircraft design, adjusting operational conditions, or utilizing innovative urban materials and landscaping.Project ScopeThe selected candidate will concentrate on urban environments, crafting a model to predict frequency-dependent noise levels generated by UAM vehicles. This model will analyze sound intensity, frequency spectrum, and phase differences, closely mimicking real-world urban acoustics. The outcome will yield both monaural sound levels for noise impact assessments and binaural time signals for applications in virtual reality, such as NLR's Virtual Community Noise Simulator (VCNS). This model will serve both perception studies and evaluations of how aircraft noise propagates within urban areas.A validation study of this model is crucial, incorporating both objective and subjective assessments to refine its accuracy.
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 extensive in-house AI/ML teams. Our talented workforce operates at the forefront of AI cloud infrastructure, collaborating with some of the most innovative and experienced leaders and engineers in the industry.Our Work EnvironmentLocated 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, comprising over 1,400 employees, includes more than 400 highly skilled engineers, equipped with deep expertise in both hardware and software engineering, as well as an in-house AI R&D team.We are on the lookout for a Staff or Principal Applied AI Researcher to join our rapidly expanding team, focused on developing an agent-native search platform—the vital web access layer for AI systems.Unlike traditional search methodologies, we are innovating how AI agents—not humans—access, retrieve, and reason over information available on the internet. As AI increasingly becomes the primary interface for web interaction, this pivotal layer is set to transform the function of conventional search engines.This role involves tackling retrieval and search challenges within entirely new access patterns and scales.Depending on your experience and the responsibilities you take on, this position can be classified at either the Staff or Principal level, granting you ownership over vital aspects of our applied AI research trajectory.You will lead applied research initiatives that directly enhance how AI systems retrieve, ground, and utilize real-world information in production, ensuring that research is closely linked to large-scale deployment.Your ResponsibilitiesEngage in projects at the intersection of search, retrieval, and LLM-based systems, shaping how AI agents engage with the web. This includes designing agent-native retrieval systems (distinct from human search UX), developing systems where LLMs actively query, iterate, and reason over results, and collaborating with cross-functional teams to foster innovation.
JetBrains s.r.o.
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.
JetBrains s.r.o.
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.
JetBrains s.r.o.
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.
Adyen N.V.
Join Adyen as a Model Risk Specialist and play a key role in our commitment to maintaining robust risk management frameworks. You will be responsible for assessing, validating, and monitoring the performance of various models utilized across our financial operations. Your insights will contribute to strategic decisions, ensuring regulatory compliance and enhancing our risk management capabilities.
WPP Media
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 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.
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
Join our innovative team at Pinely as a Quantitative Research Intern in Amsterdam! This internship provides a unique opportunity to delve into high-frequency trading (HFT) strategies, where you will collaborate with seasoned researchers and engineers. You will gain invaluable practical experience in applying advanced methodologies to real financial datasets. During this internship, you will engage in groundbreaking projects aimed at automating and enhancing trading strategies within a dynamic market environment. The duration of the internship ranges from 3 to 6 months, allowing for flexibility based on your availability. Successful candidates may receive a full-time job offer upon completion of the internship.Key ResponsibilitiesContribute to the research and development of innovative high-frequency trading strategies.Analyze existing HFT strategies and market microstructures to uncover new trading opportunities.Collaborate with developers and fellow researchers to implement and fine-tune trading strategies.Assist in refining current trading strategies and supporting quantitative strategy design efforts.QualificationsA strong passion for research and quantitative analysis.Solid understanding of probability theory and mathematical statistics.Proficient in Python and C++ programming languages.Familiarity with machine learning techniques is a plus.Exceptional performance in mathematical competitions or competitive programming contests.What We OfferWork alongside brilliant minds, including Kaggle Grandmasters and ACM ICPC World Finalists.Access to robust infrastructure for supporting your strategies and daily testing of ideas on a real-time production leaderboard.A modern, well-equipped workspace designed for productivity and comfort.A supportive work environment that prioritizes a healthy work-life balance.Participation in corporate and team events.
Software Improvement Group
Join the Software Improvement Group (SIG) as a Master's Research Intern and be at the forefront of advancing software quality assessment methodologies. This internship focuses on estimating the risk and value of software qualities, providing a unique opportunity to investigate the critical factors that influence software engineering success.Research Problem:In the realm of software engineering, three main elements govern decision-making: technology, people/process, and economics. As software quality increasingly dictates the success or failure of systems, it is essential for development organizations to grasp the potential risks and benefits, alongside the costs associated with enhancing software quality. Unfortunately, an integrated methodology to address various software qualities is currently lacking.At SIG, we utilize the Cost Estimation Model (Nuhogro 2011) to evaluate the effect of maintainability on development efforts, which serves as a vital tool for reporting and decision-making. However, we are in need of similar assessments for other software quality characteristics.The FAIR methodology (FAIR, Open-FAIR, Freund 2015) offers a structured approach for quantifying risks, particularly in the context of cybersecurity. This methodology combines multiple risk factors to assess overall risk and provides outcome ranges.Research Question:This research aims to explore whether the FAIR approach, or a similar alternative, can be adapted for various quality models (such as maintainability, security, architecture quality, etc.), resulting in a comprehensive cost estimation model for multiple software qualities. Furthermore, the research will investigate if risk models for these qualities can converge into a unified software economics model.If this is not feasible, can the FAIR methodology be applied to software security, leveraging results from SIG’s Sigrid platform?Tentative Approach:The research is expected to unfold in several stages, although not all stages need to be completed within a single thesis project.
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.
Pinely
Pinely is seeking a dedicated and skilled Senior Research Analyst to enhance our intricate production systems utilizing advanced analytics and machine learning techniques. In this role, you will tackle complex challenges in an agile environment, applying your proficiency in statistical analysis and uplift modeling.Key Responsibilities Establish and execute performance metrics to track project success; Identify operational bottlenecks and opportunities for expanding market share; Refine trading constraints and assess the impact of proposed changes; Conduct A/B testing and rigorously analyze results; Break down strategies into quantifiable metrics; Detect anomalies and scrutinize performance discrepancies; Facilitate quicker decision-making processes by developing analytical dashboards; Enhance simulation reliability through the training of dynamic parametric models. Qualifications Proficient in Python, with hands-on experience in libraries such as pandas, numpy, and PyTorch; Strong foundation in probability and mathematical statistics; Demonstrated experience in data analysis and machine learning methodologies; Expertise in statistical testing and A/B experiment design; Familiarity with machine learning system architecture; A fervent interest in exploring complex, open-ended questions through data; Aiming to enhance decision-making processes based on probabilistic analysis; Passionate about optimizing metric sensitivity and statistical power. What We Offer Competitive base salary with attractive social benefits; Robust bonus structure with flexibility in salary discussions; Access to state-of-the-art hardware and software, along with high-caliber technical expertise, facilitating the implementation of innovative ideas and achieving outstanding results; Opportunities to trade across numerous international exchanges; Flexible working environment with minimal bureaucracy and management oversight; Tuition reimbursement and sponsorship for conferences and training programs.
roadsurfer GmbH
About roadsurfer GmbH roadsurfer GmbH is hiring a Camper Rental Agent (m/f/d) in Amsterdam. The team values collaboration, open communication, and a supportive atmosphere. What Makes roadsurfer Stand Out Team spirit and events: Work alongside colleagues who enjoy regular team activities, from sports and BBQs to after-work gatherings. Camper budget: Receive an annual complimentary camper rental to experience the roadsurfer lifestyle yourself. Discounts and benefits: Access a corporate perks platform, the Travel Industry Card, and special rates for family and friends. What You Will Do Welcome customers with a friendly attitude during camper pick-up and return, making each interaction memorable. Walk customers through a detailed handover, explaining how to use the camper and answering questions. Take part in cleaning and maintaining campers, keeping them spotless inside and out. Support the station team with daily tasks to help travelers start their holidays smoothly.
Role Overview As a Senior Data Analytics Engineer based in Amsterdam, you will transform raw data into a strategic asset for the company. While the DataOps team builds the core infrastructure, this role focuses on developing the analytical framework that supports financial reporting, product forecasting, and go-to-market planning. The position connects technical infrastructure with business leadership, ensuring every department has reliable, self-service access to the data needed for quick decision-making. Your First Year First 3 months: Get to know the current technology stack (GCP, BigQuery, Airbyte, dbt), core business data models, and any data flow challenges. Deliver and refine initial high-priority models for product usage and financial reporting. Work closely with the Data Engineer to align on the new infrastructure roadmap. By 6 months: Build a semantic layer to standardize KPIs across the company. Lay the groundwork for AI-readiness and enable advanced natural language querying. After 1 year: Take full ownership of the company’s data modeling architecture. Ensure it supports AI and machine learning applications. Advise department heads by using data to shape long-term growth and forecasting strategies, while maintaining a governed data environment that gives business users confidence to explore data on their own. Key Responsibilities Data Product Ownership: Manage the full lifecycle of internal data products. Work with stakeholders to turn business questions into technical solutions, choosing the right tools to keep reporting scalable and accessible. Analytics Engineering: Design, build, and maintain core data models using dbt Labs. Develop the logic for critical datasets, including those used for financial reporting, churn forecasting, and reverse-ETL processes that sync warehouse data with business tools like Planhat and HubSpot. Data Governance and Semantic Layering: Uphold data integrity by implementing governance standards and developing the semantic layer to ensure consistent metrics across the company. Data Enablement: Partner with RevOps to create training and documentation that helps teams in Finance, Product, and GTM work independently with data products.
Software Improvement Group
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
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.
The Senior Transfer Agent Officer at Iqeq in Amsterdam manages client accounts and ensures records remain accurate and up to date. This position supports the smooth processing of transactions and contributes to reliable service delivery. Key responsibilities Oversee client accounts and maintain detailed records Support the processing of transactions with accuracy and efficiency Help uphold standards for client service and regulatory compliance Role focus This role centers on both operational accuracy and client satisfaction. Attention to detail and a strong sense of responsibility are important in meeting regulatory and service expectations.
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