Senior Machine Learning Engineer

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.

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.

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.

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!

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.

At JetBrains, we are passionate about code. Since our inception in 2000, we have been dedicated to creating the most effective developer tools available. By automating routine checks and corrections, our tools enhance productivity, allowing developers the freedom to innovate and create.The JetBrains Research team is at the forefront of exploring how machine learning techniques can revolutionize the software development process. Our mission is to translate cutting-edge academic research into practical applications that improve machine learning for code.We are seeking a talented Senior Machine Learning Engineer to engage in diverse projects, including code completion, AI agent development, and test generation. While we do not require expertise in every area, we are looking for a candidate who is eager to tackle challenges across a variety of contexts.

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.

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.

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.

Adyen is looking for a Senior Machine Learning Engineer to help shape the future of payment solutions. This position is based in Amsterdam and focuses on building and improving machine learning models that support a global client base. Role overview This role centers on developing and refining machine learning technologies for payment systems. The work involves applying advanced techniques to deliver solutions that address real-world challenges in the payments industry. What you will do Design, build, and optimize machine learning models for payment-related use cases Collaborate with a team focused on innovation in payment technology Contribute expertise to advance Adyen’s machine learning capabilities for global clients Location This position is based in Amsterdam.

At JetBrains, we live and breathe code. Since our inception in 2000, our mission has been to create the world's most powerful and efficient developer tools. By automating routine checks and corrections, our products accelerate development processes, empowering developers to innovate and create freely. JetBrains is transitioning from standalone developer tools to an integrated, AI-driven platform for software development. The role of AI has evolved from a simple assistant within the editor to a vital participant in the planning, building, reviewing, and operating of software across teams and organizations. This transformation presents new challenges that cannot be addressed at the individual tool level: governance, security, cost management, observability, and synchronized collaboration between humans and autonomous agents. Our ambition is to develop a platform that facilitates the adoption of AI in software development in a structured, scalable, and cost-effective manner, without confining companies to closed ecosystems. This platform will act as the execution and governance layer for AI-powered development, seamlessly integrated with developer tools while functioning across teams, products, and environments. We are in search of a seasoned ML leader who has a proven track record of developing products with an ML foundation, harmonizing research, technical excellence, and a strong focus on product.

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.

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.

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.

Join our dynamic team as a Senior Quantitative Researcher in our vibrant Amsterdam office. In this pivotal role, you will spearhead innovative research initiatives and take charge of mentoring and managing talented individuals.Key Responsibilities Leverage machine learning techniques to design and implement sophisticated statistical arbitrage strategies. Identify and evaluate new trading opportunities through in-depth analysis of market data. Craft features and models to forecast the behavior of numerous securities within a rapid timeframe of 10 seconds to 10 minutes. Collaborate with machine learning pipelines to enhance the strategy development process. Continuously optimize and refine existing models for better performance. Facilitate communication among internal teams to ensure cohesive strategy implementation. Provide mentorship and leadership to team members, fostering a culture of learning and growth. Requirements A minimum of 5 years of relevant experience in high-frequency trading (HFT) environments. Deep understanding and hands-on experience with machine learning models tailored for HFT strategies. Proficiency in managing ML pipelines across multiple exchanges, both independently and collaboratively. Demonstrated experience in developing complex statistical arbitrage strategies that capitalize on price discrepancies between multiple instruments. A strong desire to deepen your knowledge of high-frequency trading and apply it across numerous exchanges. Ability to manage the entire data pipeline from sampling and feature creation to production strategy deployment. Proficient in at least one programming language, with Python being the preferred choice. A confident, resilient, highly motivated, and proactive approach to work. A collaborative mindset, open to learning from colleagues with diverse backgrounds. Preferred QualificationsExperience in mentoring and managing interns or research teams.What We Offer Competitive base salary complemented by comprehensive social benefits. Generous bonus system and profit-sharing opportunities. We are open to discussing salary and employment conditions. Access to state-of-the-art hardware and software, coupled with a high level of technical expertise, enabling the implementation of innovative ideas and achieving exceptional results. Opportunity to engage in trading across a multitude of international exchanges. A flexible work environment that prioritizes efficiency over bureaucracy, with an adaptable work schedule. Tuition reimbursement and sponsorship for conferences and training.

At JetBrains, we are passionate about code. Since our inception in 2000, our mission has been to develop the most powerful and effective developer tools available. By automating routine checks and corrections, our tools accelerate production, allowing developers to explore, innovate, and create. As AI-driven support becomes integral to our IDEs, the ML Workflows Engineering team focuses on eliminating infrastructure challenges, optimizing machine learning operations (MLOps), and empowering teams to concentrate on their most impactful work—developing groundbreaking ML models and intelligent agents. In this role, you will significantly contribute to designing tools, automation, and pipelines that facilitate a seamless and intuitive machine learning development experience. By embracing advanced MLOps practices and engineering excellence, we strive to enhance productivity and simplify ML infrastructure, enabling our teams to push the limits of AI innovation.

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.

About the Role KPN is looking for a Senior Machine Learning Engineer in Amsterdam. This role focuses on designing and building advanced machine learning models that support and improve KPN’s telecommunications and IT services. What You Will Do Create and implement machine learning solutions tailored to business needs Work closely with teams across disciplines to analyze data and extract insights Help shape technology decisions and contribute to ongoing innovation at KPN Location This position is based in Amsterdam.

Join Sia as a Machine Learning Engineer and play a pivotal role in advancing our innovative technology solutions. You will collaborate with a talented team of data scientists and software developers to design, implement, and optimize machine learning models that drive our projects forward.In this position, you will have the opportunity to work on cutting-edge technologies and methodologies, contributing to impactful projects that enhance user experiences and improve operational efficiencies.