Research Engineer - Agentic Models

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.

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!

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 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.

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.

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.

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.

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.

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.

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 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.

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.

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

Join our dynamic team at Pinely as a Mid-Level Quantitative Researcher, based in our Amsterdam and Cyprus offices. In this pivotal role, you will collaborate with our trading teams to conduct in-depth market analysis and develop profitable trading strategies that optimize our trading performance.ResponsibilitiesEnhance and innovate trading algorithms through advanced statistical models and machine learning methodologies;Evaluate high-frequency trading strategies and market microstructure to pinpoint lucrative trading opportunities;Work closely with developers and fellow researchers to effectively implement and fine-tune trading strategies;Support the refinement of existing trading strategies while aiding senior researchers in the design of quantitative strategies.RequirementsMaster's or Bachelor's degree in Mathematics, Physics, Computer Science, or a related quantitative discipline;Proven experience in solving complex analytical problems;Exceptional achievements in mathematical competitions or coding challenges are a significant plus, though not mandatory;Demonstrable experience in deploying machine learning algorithms.

Join our innovative team at Pinely as a Senior Deep Learning Researcher, where your expertise will drive advancements in artificial intelligence and machine learning. We are looking for a passionate individual who thrives in a research-driven environment and is ready to take on the challenge of contributing to the high-frequency trading (HFT) sector. You will work independently on pioneering research projects that push the boundaries of technology.Key ResponsibilitiesEngage in groundbreaking research within the realms of artificial intelligence, machine learning, and associated quantitative disciplines.Design and implement state-of-the-art deep learning models and architectures.Conduct thorough analyses of extensive, unstructured, and noisy datasets to derive valuable insights.Investigate emerging methodologies and technologies to continuously improve research outcomes.QualificationsDemonstrated research experience, including publications in prestigious journals and conferences, or a PhD/MD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.Robust foundation in machine learning and mathematical statistics with a proven track record of analyzing large, unstructured datasets.Hands-on experience and deep understanding of contemporary deep learning architectures, particularly transformers and their variants.Strong programming skills in any language, preferably Python.Experience in executing high-quality research projects.What We OfferAttractive base salary and comprehensive social benefits.Generous bonus structure with flexibility in salary and employment terms.Access to cutting-edge hardware and software, enabling you to implement innovative solutions that drive tangible results.Opportunities to trade on numerous international exchanges.Flexible work environment with minimal bureaucracy and pressure.Tuition reimbursement and sponsorship for conferences and training programs.

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.

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.

JetBrains is seeking a Senior Machine Learning Researcher to focus on Spectrum. This position centers on applying machine learning expertise to improve product features and contribute to ongoing research efforts. Role overview This role involves working with a team dedicated to advancing the capabilities of Spectrum. The Senior Machine Learning Researcher will use their knowledge to influence product direction and participate in research projects that drive innovation. Key responsibilities Apply machine learning methods to enhance Spectrum's technology. Contribute to research initiatives that inform future product development. Share insights and provide leadership within the research team. Locations This position is available in Amsterdam, Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.