Senior Machine Learning Engineer - IntelliJ AI

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.

About the Role checkout.com is hiring an MLOps Engineer I in Amsterdam. This role focuses on improving how machine learning models are deployed and managed across the platform. The team works to make machine learning operations more efficient and reliable. What You Will Do Support the deployment and monitoring of machine learning models Help streamline processes for managing models in production Work with modern tools and technologies to improve platform performance

Role Overview KPN is looking for a Senior Machine Learning Engineer to join the team in Amsterdam. This role focuses on building and refining machine learning models that shape both internal operations and customer-facing services. What You Will Do Design, develop, and implement advanced machine learning algorithms Work closely with colleagues to create AI solutions that improve KPN’s offerings Contribute expertise to projects that directly influence customer experience and business processes 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.

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 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.

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.

Join Bloom & Wild as a Machine Learning Engineer and contribute to our mission of transforming the gifting experience. As part of a dynamic data science team, you will leverage cutting-edge technologies to develop machine learning models that enhance our customer offerings. You will work collaboratively with data engineering, product teams, and business intelligence to explore innovative data-driven solutions. Your expertise in Python and AWS will be vital in maintaining and optimizing our existing models while exploring new opportunities for growth.

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.

As an Azure Machine Learning Engineer, you will be at the forefront of our AI and Machine Learning practice in the Netherlands. You will lead the way in the Azure AI domain and play a key role in shaping our AI strategy, both internally and for our clients. Your ability to merge technical depth with a pragmatic approach will enable you to successfully bring AI solutions into production.You will serve as a vital partner to both consultants and clients, helping them maximize the power of AI within the Microsoft ecosystem. Your expertise will encompass Azure Machine Learning, Azure OpenAI, Cognitive Services, Fabric, Databricks, and MLOps solutions in Azure.Your contributions will advance our AI knowledge within the team, collaborate with international colleagues, and support our commercial teams in designing innovative AI and ML projects. You will work on end-to-end solutions: from use case discovery and model development to deployment, monitoring, and optimization.Your role is crucial for our growth in the AI domain, helping position Devoteam as a thought leader in Azure AI and contributing to projects that deliver genuine business impact.

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.

At IMC, technology is the foundation of our operations. Our cutting-edge proprietary software drives millions of trading decisions every day, allowing us to stay ahead of the competition through rapid and efficient decision-making. In 2023, IMC expanded its capabilities by acquiring Altas Technologies, a dynamic algorithmic trading firm dedicated to developing the most advanced trading stack for the future. This strategic acquisition combines Altas's sophisticated trading strategies with IMC's robust execution and scaling capabilities, reinforcing our market position and paving the way for sustained stability and growth. The Role You will join a dedicated team of engineers collaborating closely with a larger group of researchers. This structure is intentional — it drives us to create high-quality, efficient systems. With limited personnel, we must ensure the reliability of our systems. You will take full ownership of what you build: from design, through implementation, to maintenance. The role encompasses a wide range of responsibilities: real-time ML inference powering trading strategies, the large-scale data infrastructure that supports it, and the research platform that enables quantitative researchers to discover alpha. If you prefer to specialize in just one area and delegate the rest, this may not be the position for you. We delve deeply into every aspect of our work, which presents exciting challenges and continuous learning opportunities. How We Work Competence is our standard, not our distinguishing factor. While individual performance is important, what truly differentiates us is the caliber of our ideas and our collaborative spirit — we value discussion and mutual respect, leaving egos at the door. Responsibilities Develop and refine the real-time inference system — delivering ML predictions with sub-millisecond latency as part of a live trading system. Construct and sustain petabyte-scale data and ML infrastructure — ensuring high-throughput ingestion into our data lake, orchestrating end-to-end ML pipelines, and managing everything in between. Facilitate alpha research and transition it to production — create the research platform that researchers rely on daily: ensuring rapid loading of TB-scale datasets, providing horizontally scalable compute for experiments, conducting feature engineering, and performing backtesting. Collaborate with researchers to rapidly implement their concepts into production without compromising quality. What We Expect From You You should be proficient in a systems programming language — preferably Rust or C++ — along with Python. Mastery of both is essential for navigating the entire stack.

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.

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.

Join our innovative team at dev2 as a Site Reliability Engineer, where you'll play a pivotal role in enhancing our cutting-edge Machine Learning Platform. You will be responsible for ensuring the reliability, availability, and performance of our systems while collaborating with cross-functional teams to implement best practices in software engineering and operations.

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 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.