Research Engineer - Kotlin AI Value Stream

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.

Join us as a seasoned software developer to contribute to the evolution of the Kotlin ecosystem.Your Role:Develop and sustain essential libraries for Kotlin core primitives utilized by a vast community of developers.Deepen your expertise in specialized areas of computer science and software engineering.Collaborate within a design committee to shape the future of the Kotlin API.Engage in the development of standard Kotlin tools, specifications, and language features.Preferred Qualifications:Experience with JVM development, including insights into the Java standard library's implementation.Strong grasp of the domains you've previously worked in.Capability to articulate design documents for intricate systems, detailing the rationale behind each trade-off and technical decision.Background in performance engineering or API design.If you find joy in deciphering Unicode standards, examining how various languages convert strings to bytes, and tackling complex timezone adjustments in Kotlin, our team is the perfect fit for you.

JetBrains has developed tools for software teams since 2000. By automating routine checks and corrections, JetBrains products help developers focus on building and shipping software. The goal: make development more productive and creative. Role overview This Backend Customer Success Engineer role centers on supporting engineering teams as they adopt Kotlin for backend development. The position focuses on helping organizations successfully bring Kotlin into production environments. What you will do Guide organizations through the process of moving from Java to Kotlin, assisting with migration, integration, and scaling. Troubleshoot technical challenges that arise during the transition and support teams as they progress from initial experimentation to stable production use. Work with potential users to clarify how Kotlin adoption works and help design migration plans that fit their specific needs. Locations Amsterdam, Netherlands Berlin, Germany Munich, Germany Prague, Czech Republic Remote, Germany

JetBrains s.r.o. creates tools that help developers automate repetitive tasks so they can focus on writing quality code. Since 2000, the company has aimed to make software development more productive and enjoyable for engineers worldwide. Role overview The Customer Success Engineer - Kotlin Multiplatform (KMP) supports engineering teams as they adopt KMP in real-world projects. This role guides organizations from their first evaluation through to successful deployment. Along the way, it gathers feedback and collaborates closely with JetBrains product teams to help shape the future of KMP. What you will do Work directly with organizations at various stages of KMP adoption, from initial exploration to production rollout. Assist teams in migrating, integrating, and scaling shared codebases using Kotlin Multiplatform. Support teams moving from experimentation to production and help address technical challenges as they arise. Reach out to potential users who could benefit from adopting KMP. Identify each customer’s technical needs, use cases, and any barriers to adoption. Advise on architecture, feasibility, and strategies for implementing KMP. Collect structured feedback and insights from clients. Collaborate with JetBrains product and engineering teams to influence the KMP roadmap and improve available tooling. Common questions you'll help solve What is the safest way to migrate a large Android app to shared logic? How much code sharing is practical or advisable? How can teams address resistance from iOS developers working with Kotlin APIs? What’s the best way to organize a codebase for collaboration across teams? How can teams resolve slower build times after introducing KMP? How success is measured Organizations deliver Kotlin Multiplatform in production environments. Teams increase their use of shared code over time. KMP adoption continues beyond initial trials. User feedback results in tangible improvements to KMP and its tooling. Requirements Experience working with Kotlin, either for Android or backend development. Understanding of mobile architectures on both Android and iOS, especially with Kotlin. Strong communication skills and a knack for problem solving. Background with cloud technologies and CI/CD pipelines. Ability to collaborate effectively within a team-driven environment. Location This position is available in Amsterdam (Netherlands), Berlin or Munich (Germany), or remote within Germany.

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.

About UsAt Vandebron, we are revolutionizing the energy sector by prioritizing sustainability and creating a transparent platform that connects consumers directly with local green energy producers. Since our inception in 2014, we have been committed to fostering a sustainable energy future.As we enter Chapter 2 of our journey, our mission is to guarantee 100% availability of green energy - 100% of the time. We are implementing innovative solutions such as flexible wind and solar energy utilization, Smart EV Charging, and advanced energy storage systems, ensuring a proactive approach to shaping a green future.Join us in creating smart energy solutions - that’s Vandebron.The RoleWe are rethinking our technology infrastructure, and we want you to be part of this exciting transition! As a Senior Backend Engineer, you will play an essential role as we move from a Scala/ZIO foundation to a new generation of services built with Kotlin and Spring Boot. You will be instrumental in developing our future-proof platform, creating scalable and high-quality services that drive Vandebron’s mission for 100% green energy.Collaborating within a dynamic, cross-functional team of engineers, designers, and product stakeholders, you will transform complex energy challenges into efficient backend solutions. Our culture promotes knowledge sharing and experiential learning, making it an integral part of our work environment.ResponsibilitiesCollaborate with fellow engineers to design and develop new microservices utilizing Kotlin and Spring Boot.Design and uphold clean, high-performing APIs that cater to our React and React Native frontends.Produce clean, efficient, and well-documented code that meets our product specifications with increasing autonomy.Engage in all phases of the development lifecycle, including writing tests, conducting code reviews, and ensuring the delivery of high-quality software.Contribute ideas and feedback within your team to cultivate a collaborative and productive work environment.

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

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.

Cognite is at the leading edge of industrial digital transformation, creating innovative AI and data solutions that tackle some of the globe’s most challenging and impactful issues. With a rich industrial background and an extensive array of AI capabilities, including low-code AI agents, Cognite is dedicated to accelerating digital transformations to enhance operational efficiencies.Our ambitious goal is to unlock $100 billion in customer value by 2035, redefining the operational landscape of global industries.

As a Client Value Partner in Digital Technology at Celonis, you will play a pivotal role in driving value for our clients through innovative digital solutions. Your expertise will guide organizations in leveraging our cutting-edge technology to transform their operations and achieve remarkable outcomes. You will collaborate closely with cross-functional teams to ensure client success and satisfaction, while also identifying new opportunities for growth.

Join Vattenfall as a Strategic Value Manager in our Marketing Decisioning team, where you will play a pivotal role in shaping our marketing strategies and enhancing customer engagement. Your expertise in data-driven decision-making will be essential in driving our marketing initiatives forward. Collaborate with cross-functional teams to develop innovative marketing solutions that align with our business objectives.

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.

Role overview airapps is looking for an AI/ML Engineer to join the team in Amsterdam. The main focus of this position is to build and deploy machine learning algorithms that enhance product features and improve user experiences. Working alongside a collaborative group, this role helps shape technical solutions and takes projects from initial idea through to implementation. What you will do Design and implement machine learning models for practical, real-world use cases Work closely with colleagues to develop algorithms that strengthen airapps services Apply AI and ML expertise to support the company’s technology goals Location This role is based in Amsterdam and requires on-site presence.

Location: Amsterdam, Netherlands Company: Wiz Inc. Role: Senior Business Value Consultant - Central / North About Wiz Wiz is a cloud security company trusted by security teams worldwide. The team includes professionals from over 20 countries, working together to protect the infrastructure of a broad client base. More than half of the Fortune 100 depend on Wiz to scan and secure over 230 billion files every day. Wiz continues to grow rapidly in a large and evolving market. Read more about our growth. Role Overview The Senior Business Value Consultant will help clients understand the strategic and financial impact of adopting Wiz. This role combines hands-on commercial work with a focus on long-term business outcomes. The consultant will translate complex technical solutions into clear, persuasive value propositions for clients. What You Will Do Value Selling: Create deliverables that show strategic alignment, outline multi-year plans, and build business cases with ROI analysis to support client decisions. Orchestration: Lead discovery sessions to identify customers' current challenges and future needs, helping shape effective solutions.

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.

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!

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.

Are you a visionary engineer who has successfully built agentic systems? Have you deployed LLM-powered features into production, distinguishing between impressive demos and scalable, functional solutions? If you find yourself bogged down by mundane CRUD operations, we have an exciting opportunity for you!Join us at Carv as an AI Native Staff Engineer. We are at the forefront of integrating agentic AI systems within the recruitment sector, and we're seeking a seasoned professional who has substantial experience in this domain to join our dynamic team.Key ResponsibilitiesDevelop AI-Driven Product SystemsCreate and implement comprehensive AI-powered product features from concept to deployment.Design architectures that seamlessly integrate LLMs, agents, and conventional software systems.Implement Retrieval-Augmented Generation (RAG) pipelines, structured reasoning flows, and tool-using agents.Enhance the reliability, latency, and cost-effectiveness of our solutions.Leverage AI for Engineering ExcellenceUtilize AI agents to enhance development speed, testing efficiency, and architectural decisions.Rapidly prototype and deliver production-ready systems.Establish internal AI tools to amplify team productivity.Pushing the limits of what current AI models can achieve.Drive Impactful SolutionsTransform product challenges into scalable AI-driven solutions.Evaluate real-world performance metrics like accuracy, business impact, and user experience.Prioritize production resilience over mere demo quality.Cultivate an AI-First Engineering CultureElevate our internal AI utilization standards.Set practical benchmarks for evaluation and iterative improvement.Mentor fellow engineers on AI-native methods and workflows.Contribute to the long-term technical strategy of the organization.Who You AreWe are looking for someone who:Incorporates LLMs into your daily work processes.Has experience creating agents, RAG systems, or AI-powered applications.Values practical reliability over theoretical perfection.Thinks in terms of orchestration beyond just prompts.Regularly experiments with new models and tools.We place less importance on:An academic background in ML.Publishing research papers.Training models from scratch.We value more:Your tangible outputs.Your ability to leverage AI for increased velocity.Your perspective on systems that incorporate AI components.Why Work With Us?At Carv, we are revolutionizing recruitment by placing AI at the center of our product development rather than as an afterthought.Join us, and you will:Collaborate with seasoned SaaS leaders with over 15 years of industry expertise.Gain significant ownership over architecture and AI strategy.Thrive in a high-velocity, high-impact environment.

Join us at Carv as we revolutionize the recruitment landscape with cutting-edge AI technology. As an AI Native Staff Engineer, you will leverage your experience in building autonomous systems to develop and deploy LLM-powered features that work seamlessly at scale.Your role will go beyond mere CRUD operations; you will architect innovative AI-driven solutions that transform product challenges into scalable success. Your expertise will help shape our AI engineering culture and influence the future direction of our technology.Key ResponsibilitiesDevelop Advanced AI Product SystemsDesign and launch AI-enhanced product features from concept to delivery.Architect systems that integrate LLMs, AI agents, and traditional software components effectively.Implement RAG pipelines, structured reasoning flows, and agent-based tools.Continuously enhance system reliability, response times, and cost-effectiveness.Maximize AI Engineering EfficiencyUtilize AI agents to expedite development processes, testing, and architectural decisions.Rapidly prototype and deliver production-quality systems.Establish internal AI tools that amplify team productivity.Pioneer new possibilities with state-of-the-art AI models.Deliver Impactful SolutionsConvert product challenges into efficient AI-enabled solutions.Assess real-world effectiveness through metrics like accuracy, business outcome, and user experience.Focus on production reliability over mere demo quality.Cultivate an AI-Driven Engineering CultureSet high standards for AI usage within the team.Develop practical evaluation and iterative processes.Mentor fellow engineers on AI-focused workflows.Contribute to the long-term technical vision.

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.