Data Scientist - Experimentation

Join our innovative team at pinely as a Staff Research Scientist / Principal Deep Learning Scientist, where you'll spearhead groundbreaking AI research initiatives. In this prominent individual contributor role, you will be at the forefront of technical advancements, crafting research strategies that influence the entire team.We are looking for someone with a profound curiosity and a strong history of leadership in AI laboratories. You should possess hands-on experience with neural networks and applied AI research, ready to take the initiative and make tangible contributions to the development and deployment of advanced models.Key Responsibilities:Lead the creation of AI models that underpin all elements of our trading strategies across global markets.Address the ultimate challenge of forecasting the future by “solving” the complexities of financial markets, leveraging your understanding of deep neural networks amidst diverse, noisy, and ever-evolving dependencies.Guide the direction of research and enhance team capabilities through your deep expertise and insights.Participate in all phases of research, from concept generation to deployment, ensuring the seamless integration of new findings into production systems.Qualifications:Experience as a Senior/Staff/Principal Researcher at a prestigious AI lab or as a faculty member (Professor/Lecturer) at a renowned AI research institution (e.g., Stanford, Berkeley, CMU, MIT, Mila, ETH, UofT, Oxford, UCL, NYU, Princeton).Preferred expertise in competitive, application-driven AI domains such as LLMs, reasoning architectures, generative modalities (e.g., video), or mechanistic interpretability.A drive for impactful research depth with a focus on contributing meaningfully to both the team and the wider field.What We Offer:A unique opportunity to make significant contributions across the entirety of our trading portfolio.Competitive compensation with exceptional profit-sharing potential.A research-driven environment where your deep technical insights directly influence outcomes.Flexibility to work part-time alongside your academic lab commitments.A culture that fosters personal initiative, supports exploration of new ideas, and acknowledges outstanding performance.Flexible work options, with the choice of working from our Amsterdam office or fully remotely, along with potential business travel as needed.

Join 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.

Join Pinely, an innovative algorithmic trading firm located in Amsterdam, where high-frequency trading meets cutting-edge research.Our team excels in crafting resilient and adaptive trading strategies across diverse financial instruments and exchanges. We actively support the Olympiad movement, with many of our team members being distinguished mathematicians, researchers, and engineers.As a Junior Deep Learning Researcher at Pinely, you will thrive in a dynamic HFT environment where your research will have an immediate impact. Our dedicated infrastructure team ensures seamless deployment and reliable experimentation at scale.We foster a flat organizational structure that promotes autonomy, creativity, and a sense of ownership. Our informal, idea-driven culture celebrates innovation, valuing every contribution.

Join our dynamic team at Adyen as a Machine Learning Scientist. In this role, you'll be at the forefront of developing innovative machine learning algorithms that enhance our payment solutions. Collaborate with cross-functional teams to translate complex data into actionable insights and drive decision-making processes across the organization.

At IMC Trading, we recognize that technology is the cornerstone of our competitive advantage, and machine learning plays a pivotal role in our trading strategies. In recent years, we have diligently enhanced our machine learning capabilities by building robust infrastructure, expanding our in-house GPU cluster, deploying models into production, and collaborating closely with quantitative researchers and traders to create significant impact. As we continue to grow, we are looking to expand our team, enhance our systems, and accelerate the integration of deep learning into our research and execution workflows.We are seeking a Lead Principal Machine Learning Engineer to guide the next evolution of our platform — influencing architecture, promoting best practices, and addressing high-impact challenges. You will collaborate with researchers and technologists to design systems that facilitate experimentation, training, and deployment of machine learning models, while also helping to define the future approach to machine learning at IMC as we scale. If you have experience building machine learning infrastructure at scale and want to play a key role in shaping our firm's trajectory, we invite you to connect with us.

We are thrilled to present an exciting internship opportunity for a Machine Learning Research Intern to become part of our dynamic team in Amsterdam. In this role, you will engage in pioneering projects aimed at developing and enhancing high-frequency trading (HFT) strategies utilizing machine learning (ML), deep learning (DL), and reinforcement learning (RL) techniques. You will collaborate closely with seasoned researchers and engineers, gaining valuable hands-on experience in deploying advanced ML methodologies on real-world financial datasets. This internship provides a unique chance to delve into the intersection of artificial intelligence and quantitative finance, contributing to our ongoing mission to automate and optimize trading strategies within a rapidly evolving market landscape.The internship duration ranges from 3 to 6 months, adaptable based on team needs and intern availability. Successful interns may receive an offer for a full-time position at Pinely.ResponsibilitiesEngage in innovative research and development of high-frequency trading (HFT) strategies;Analyze HFT strategies and market microstructures to discover new trading opportunities;Collaborate with developers and fellow researchers to implement and enhance trading strategies;Contribute to the refinement of existing trading strategies and assist researchers in the design of quantitative strategies.RequirementsA strong passion for research;In-depth understanding of probability theory and mathematical statistics;Experience with machine learning methodologies;Proficiency in Python programming.Preferred QualificationsParticipation in ML competitions, hackathons, or mathematical/programming Olympiads;Experience with big data processing technologies (MapReduce, Hadoop, Apache Spark);Demonstrated excellence in competitive programming contests;Engagement with ML conferences.What We OfferA team of exceptional individuals, including Kaggle Grandmasters, ACM ICPC World Finalists, and contributors to A* conferences;A robust and adaptable infrastructure to support your strategies and innovations, enabling daily testing of ideas on a real-time production leaderboard, fostering an environment ripe for experimentation and iteration;A modern, fully equipped office designed for productivity and comfort;A friendly workplace that values and prioritizes a healthy work-life balance to support the well-being of our team;Engaging corporate and team events.

Welcome to Adyen Adyen is a leading financial technology platform that provides comprehensive payment, data, and financial solutions to high-profile clients including Meta, Uber, H&M, and Microsoft. We are committed to engineering success and empowering our team members to achieve their professional ambitions. We cultivate a dynamic environment that fosters growth, collaboration, and innovation. Our motivated teams work together to tackle complex technical challenges and deliver cutting-edge, ethical solutions that help businesses reach their goals more efficiently. About the Role We are on the lookout for a seasoned Data Scientist to join our Experimentation Platform team in Amsterdam. In this role, you will leverage your extensive knowledge of statistical hypothesis testing, experimental design, and quantitative research methodologies to enhance the scope of experimentation at Adyen. Your expertise will contribute to implementing advanced statistical approaches that drive experimentation at an unparalleled scale. Your Responsibilities Research and implement state-of-the-art statistical methods to deliver robust signals across diverse business contexts, optimizing for timeliness and experimental quality. Deepen your understanding of Adyen’s unique domain to prioritize methodologies that maximize business value. Stay current with the latest advancements in statistical hypothesis testing. Collaborate with a multidisciplinary team of backend, frontend, and data engineers to define requirements for new platform features, ensuring proper integration of statistical methods. Work alongside data scientists across Adyen to explore innovative applications of statistical and data science techniques to solve challenging problems. Engage with platform users to provide support and promote a culture of experimentation and data-driven product development.

At bunq, we are not merely developing a banking app; we are revolutionizing the way individuals globally achieve financial freedom. We are seeking a Data Scientist to join our marketing division, becoming the analytical powerhouse that drives our growth. You will not only analyze historical data but also create predictive models and dashboards that illuminate our future, enabling our teams to act swiftly and confidently.Embrace ResponsibilityIn your role as a Data Scientist, you will transform strategic ambiguity into analytical precision. You will manage the comprehensive data lifecycle and emerge as a trusted ally who translates intricate data into actionable marketing strategies.Develop and oversee our predictive marketing models and impactful Looker dashboards, delivering the forward-thinking insights and tools essential for our teams to make proactive, data-driven choices.Lead end-to-end analytics pipelines using SQL and Python, encompassing data cleaning, feature engineering, and model development, to provide clear, actionable insights that shape our marketing approach.Collaborate closely with product, marketing, and engineering teams, translating complex analytical results into practical recommendations and establishing yourself as the go-to advisor for data-driven marketing.

Create meaningful change. Embrace humanity. Keep exploring.About UsAt Rewire, we are at the forefront of the AI revolution, harnessing the power of data to drive transformative solutions. As the volume of data expands exponentially, the demand for intelligent, impact-driven professionals is at an all-time high. We don't merely follow trends in Data and AI; we actively shape them.If you thrive on addressing real-world challenges and delivering tangible results, this opportunity is tailor-made for you! Your innovative mindset and expertise will empower you to significantly influence Rewire's trajectory, utilizing data and AI to craft pioneering solutions.We are on a bold mission to exponentially grow Rewire's business, and we need a Data Scientist to help us achieve our ambitions. You will have the unique opportunity to engage in impactful data and AI projects, collaborate intimately with clients, and facilitate significant outcomes for our esteemed clientele. Your role will be dynamic! You will support the everyday execution of transformation projects, while simultaneously enhancing your own skills and contributing to Rewire's thought leadership within the industry.Join a vibrant team of data and AI experts who tackle substantial challenges, create intelligent solutions, and enjoy the journey together. Ready to embark on this adventure?Your ContributionsAdvance data and AI initiatives – analyze datasets, construct models, and deliver insights that foster genuine business impact.Utilize state-of-the-art machine learning methods – address intricate, real-world issues with creative solutions.Create algorithmic solutions – take charge of your projects and help revolutionize critical business processes.Facilitate organizational transformation – implement data and AI innovations backed by our GAIN® certified education and training portfolio.Leverage your technical skills and communication abilities – develop scalable data and AI solutions that generate value throughout the organization.Team up with cross-functional teams from both the client and Rewire – make contributions from day one while gaining insights from seasoned leaders.Why Choose Us?Be part of groundbreaking innovation in the data and AI landscape.

Adyen is looking for a Senior Machine Learning Scientist in Amsterdam to advance payment technology through data-driven solutions. This position centers on developing and deploying advanced machine learning models to strengthen the platform’s features and performance. Role overview This role involves close collaboration with colleagues from different teams. The main focus is on turning complex data into practical insights that support strategic decisions across the business. What you will do Design and implement machine learning models tailored to payment technology challenges Work with cross-functional teams to identify opportunities for data-driven improvements Translate large, complex datasets into clear, actionable insights Contribute to decisions that shape the direction of Adyen’s platform Location This position is based in Amsterdam.

Welcome to Cradle BioAt Cradle Bio, we recognize that proteins serve as the essential molecular machinery of life, facilitating a diverse range of therapeutic, diagnostic, chemical, agricultural, and food applications. The intricate process of designing and optimizing proteins necessitates extensive expert knowledge and meticulous manual effort, utilizing bespoke computational and biological tools.With the advent of machine learning, we are witnessing a transformative revolution in this domain, allowing for the creation of highly accurate protein models. Cradle offers a cutting-edge software platform that empowers AI-guided discovery and optimization of proteins, enabling biologists to design proteins more rapidly and at scale. Our innovative platform is already trusted by a variety of clients across biopharma, biotech, agri-tech, food-tech, and academic sectors.Our team comprises approximately 75 experienced professionals who have successfully developed numerous products in the past and possess sufficient funding to sustain operations for several years. With primary offices located in Zurich and Amsterdam, we prioritize cultivating an exceptional team culture.We provide our employees with a highly competitive salary package, a generous equity stake in the company, and a comprehensive array of benefits and opportunities for career advancement.

Your Journey at Polarsteps - Data ScienceFor the last decade, Polarsteps has experienced remarkable growth, primarily driven by word-of-mouth referrals, thanks to our dedicated product and tech teams who have crafted an outstanding user experience for travelers.As a Data Scientist within the Growth & Marketing department, you will play a pivotal role in shaping our growth strategy by analyzing constraints, developing predictive models, and assessing the impact of various product and business initiatives. Collaborating closely with the Head of Growth, you'll convert data into actionable strategies that prioritize new initiatives and enhance insights for our product teams. Your role will involve working alongside cross-functional teams in product, marketing, and design to disseminate insights and promote sustainable growth.With over 20 million users and impressive app store ratings of 4.8 and 4.7, alongside features in multiple showcases by Google and Apple, we have a strong legacy. However, we are even more excited about the future, and you will be instrumental in our mission to reach over 100 million users worldwide.

MOC 't Kabouterhuis in Amsterdam South offers an internship for students in orthopedagogy or psychology who want to support families and young children. This role places interns at the heart of daily care, working closely with both children and their families. What You Will Do Work alongside experienced lead practitioners, receiving guidance from a generalist orthopedagogue or clinical psychologist. Learn how behavioral scientists coordinate outpatient care and group therapies. Observe and participate in the full diagnostic and treatment process: collecting information from multiple disciplines, building a complete clinical picture, and supporting treatment decisions. Take part in intake and evaluation meetings with parents and other professionals. Conduct behavioral observations and help administer diagnostic tests and questionnaires. Assist in developing treatment plans and co-write research reports. Join multidisciplinary meetings, gaining insight into collaborative care for young children. Shadow professionals from different disciplines for a broad view of the care provided at 't Kabouterhuis. Apply the IMH (Infant Mental Health) vision in practice and reflect on your development as a trainee behavioral scientist. Work towards completing your diagnostic annotation (BAD/BAPD), if relevant to your studies. Who This Internship Suits This internship is designed for students in orthopedagogy or psychology who are interested in early childhood development and want hands-on experience with families in vulnerable situations. Curiosity, empathy, and a willingness to learn from a multidisciplinary team are important qualities. Location This position is based in Amsterdam South, Noord-Holland, Nederland.

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.

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 our innovative team at Pinely as a Machine Learning Performance Engineer. We are on a mission to accelerate large-scale model training by optimizing our internal infrastructure and computing stack. In this pivotal role, you will engage with the entire training pipeline—from GPU kernels to system-wide throughput—utilizing profiling, CUDA-level tuning, and advanced distributed systems methodologies. Your contributions will be vital in minimizing training durations, enhancing iteration speeds, and maximizing computational efficiency.As a key member of our growing team, you will help cultivate deep technical expertise in ML training systems.Responsibilities:Enhance our model training pipeline to increase speed and reliability, facilitating quicker and more effective experimentation.Utilize GPU optimization techniques via tools like JAX, Triton, and low-level CUDA to elevate training performance and efficiency at scale.Diagnose and rectify performance bottlenecks throughout the ML pipeline—from data loading and preprocessing to CUDA kernels.Develop tools and expand our internal infrastructure to enable scalable, reproducible, and high-performance training workflows.Guide and mentor engineers and researchers in implementing performance best practices across the team.Assist in enhancing the team's capabilities in GPU and systems-level expertise, contributing to a culture of engineering excellence and rapid experimentation.Requirements:Proven experience optimizing neural network training in production or large-scale research environments, such as reducing training time, enhancing hardware utilization, or expediting feedback cycles for ML researchers.Extensive hands-on experience with ML frameworks like PyTorch or JAX.Practical experience training and optimizing deep learning architectures, including LSTM and Transformer-based models with various attention mechanisms.Familiarity with CUDA, Triton, or other low-level GPU technologies for performance tuning.Expertise in profiling and debugging training pipelines using tools like Nsight, cprofiler, CUDA, gdb, or torch profiler.Comprehension of distributed training concepts including data/model/tensor/sequence/pipeline/context parallelism and memory-compute trade-offs.A collaborative and proactive approach, coupled with strong communication skills and the ability to mentor team members effectively.Strong proficiency in Python for developing infrastructure-level tools, debugging training systems, and integrating with ML frameworks and profiling tools.What We Offer:Competitive salary and comprehensive social benefits.Attractive bonus structure; we are flexible in discussions regarding salary and employment conditions.Access to state-of-the-art hardware and software in production, alongside a highly skilled technical team.

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, our unwavering passion for code drives us. Since our inception in 2000, we've dedicated ourselves to minimizing mundane tasks so developers can focus on innovation and delivery. The JetBrains Research team is at the forefront of exploring machine learning methodologies and agent-based strategies for software development. Our mission is to pioneer the next generation of machine learning capabilities for code functionalities. We invite a talented researcher to enhance and develop training methodologies for models designed to tackle challenges in code generation, code editing, and empowering AI agents. While expertise in every area isn't a prerequisite, comfort in navigating diverse topics and producing publishable outcomes is essential. Key Responsibilities: Train and scale neural networks for analyzing and processing source code. Innovate and refine techniques for code generation, code editing, and agent-based workflows. Guide and mentor colleagues on machine learning subjects. Qualifications: Proven experience in natural language processing or code modeling. Hands-on experience with distributed training and scaling neural networks. Familiarity with contemporary training techniques and architectures, such as Mixture of Experts (MoE). Published research in leading machine learning conferences. Strong programming skills across relevant languages. Preferred Qualifications: Practical experience with post-training techniques. Background in multimodal or low-data training methodologies. Knowledge of large-scale model training processes.