Junior Quantitative Researcher at Pinely | Amsterdam

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 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 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.

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 pinely as we expand our innovative team! We are seeking a dedicated Site Reliability Engineer who thrives in a dynamic environment.Key Responsibilities:Deploy, configure, and manage Linux-based servers efficiently.Diagnose and resolve hardware and network availability issues while monitoring for failures.Oversee numerous nodes across various remote sites and cloud infrastructures.Contribute to infrastructure automation initiatives using Python and/or Go.Engage with cloud platforms including AWS, Google Cloud, and Alibaba Cloud.Enhance monitoring systems for production trading environments utilizing Grafana.Required Qualifications:A minimum of 3 years of experience in managing and troubleshooting high-load systems.Strong grasp of the Linux TCP/IP stack.Familiarity with essential network components such as DHCP, DNS, and BGP.Proficiency in at least one configuration management tool (e.g., Salt, Ansible).Extensive knowledge of infrastructure monitoring tools, including Prometheus and Grafana.Fluent in English (B2/Upper-Intermediate or above).Basic skills in Python/Bash/Go.Willingness to travel for work-related tasks.Preferred Qualifications:Familiarity with leading server hardware brands.Experience optimizing hardware and OS configurations for peak performance.What We Offer:Competitive salary and comprehensive social benefits.Attractive bonus structure with flexibility in salary negotiations.Opportunity to work with unique networks such as radio relay, shortwave, FPGA cards, and atomic clocks, including server optimization on overclocked systems.Access to cutting-edge technologies and a supportive environment for implementing innovative solutions.Flexible working conditions, minimizing bureaucracy and promoting autonomy.Tuition reimbursement and sponsorship for conferences and training.

Join our dynamic Trading Systems team at Pinely as a C++ Developer! If you are passionate about optimizing trading systems and leveraging cutting-edge technology, this is the perfect opportunity for you. Our team is dedicated to enhancing the efficiency of our trading operations, utilizing everything from low-level assembly optimizations to Linux kernel modifications and FPGA integration. Your contributions will directly influence our trading performance, efficiency, and profitability.Collaborate with a group of exceptionally talented engineers, including ICPC gold medalists and CTF competition winners, who are eager to share their knowledge and expertise.

Join our innovative team at Pinely as a Quantitative Research Intern in Amsterdam! This internship provides a unique opportunity to delve into high-frequency trading (HFT) strategies, where you will collaborate with seasoned researchers and engineers. You will gain invaluable practical experience in applying advanced methodologies to real financial datasets. During this internship, you will engage in groundbreaking projects aimed at automating and enhancing trading strategies within a dynamic market environment. The duration of the internship ranges from 3 to 6 months, allowing for flexibility based on your availability. Successful candidates may receive a full-time job offer upon completion of the internship.Key ResponsibilitiesContribute to the research and development of innovative high-frequency trading strategies.Analyze existing HFT strategies and market microstructures to uncover new trading opportunities.Collaborate with developers and fellow researchers to implement and fine-tune trading strategies.Assist in refining current trading strategies and supporting quantitative strategy design efforts.QualificationsA strong passion for research and quantitative analysis.Solid understanding of probability theory and mathematical statistics.Proficient in Python and C++ programming languages.Familiarity with machine learning techniques is a plus.Exceptional performance in mathematical competitions or competitive programming contests.What We OfferWork alongside brilliant minds, including Kaggle Grandmasters and ACM ICPC World Finalists.Access to robust infrastructure for supporting your strategies and daily testing of ideas on a real-time production leaderboard.A modern, well-equipped workspace designed for productivity and comfort.A supportive work environment that prioritizes a healthy work-life balance.Participation in corporate and team events.

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.

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

Join our innovative team at Pinely as a 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 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.

Join our dynamic team in Amsterdam as a C++ Team Lead, overseeing the pivotal Trading Systems team that drives our core operations. You will leverage your expertise to lead the development and optimization of trading systems across various markets, collaborating closely with engineers and software developers. This role demands a strong commitment to technical research and close collaboration with our quantitative analysts to enhance system performance and reliability.Key Responsibilities:Architect and sustain high-performance trading systems utilizing modern C++ for diverse exchanges;Execute production tests to analyze protocols, feeds, and competitiveness, focusing on optimizing the fill ratio;Create low-latency inference solutions adaptable to varied hardware environments;Identify and implement optimal hardware and software configurations that meet stringent latency and performance metrics;Partner with researchers, business development teams, and key stakeholders to refine and elevate the overall trading process.

Are you ready to elevate your career in consulting? Do you excel at the crossroads of strategy, technology, and sustainability? If you're keen to lead client workstreams, manage teams, and deliver impactful results swiftly, SparkOptimus could be your next career destination. Your RoleAs a Junior Manager at SparkOptimus, you will be responsible for overseeing the entire scope of smaller client projects or multiple workstreams within larger initiatives, ensuring they are guided from inception to completion. You will structure and spearhead strategic initiatives, manage both client and internal teams, and facilitate seamless execution across all phases. Your contribution will be vital in ensuring quality delivery, fostering effective team collaboration, and translating insights into actionable outcomes. Key ResponsibilitiesIndependently manage one or two smaller projects or large workstreams.Lead client interactions by communicating effectively, building trust, and guiding clients from insights to actionable steps.Synthesize complex challenges, structure analyses, and deliver clear narratives with actionable next steps.Ensure smooth project operations, focusing on planning, timelines, stakeholder management, and team guidance.Mentor and develop junior team members through formal and informal coaching.Drive implementation efforts, making a tangible impact beyond strategy.Contribute to the broader knowledge base of SparkOptimus and support internal initiatives. Why Join SparkOptimus?SparkOptimus empowers organizations to harness the potential of disruption. We initiate and scale transformative projects that enhance the lives of consumers and customers sustainably. Our pragmatic approach, akin to a start-up mindset, is focused on delivering value for clients globally, including renowned organizations like Heineken, FrieslandCampina, Eneco, ING, IKEA, and AkzoNobel. We collaborate with leaders to clarify objectives and strategies, cultivating the capabilities and culture required to implement change at all organizational levels. At SparkOptimus, we value diversity and inclusion as fundamental to our identity and operations. We are committed to providing equal opportunities and fair treatment for all employees, ensuring that everyone feels acknowledged, valued, and supported. Additionally, SparkOptimus is a certified B Corp, meeting rigorous standards of social and environmental impact, transparency, and accountability. We leverage business as a force for good, driving positive change for our clients, employees, and the community.

Invest-NL backs entrepreneurs driving the Netherlands toward a more sustainable and innovative future. The Deep Tech Fund team is growing, and we are looking for an Investment Manager to help shape and manage a portfolio of direct investments in Dutch startups and scale-ups at the forefront of deep tech. About the Deep Tech Fund Role This Investment Manager position centers on sourcing, assessing, and managing investments in areas such as photonics, nanotechnology, biotechnology, and quantum technology. The work combines technical insight with financial expertise, requiring hands-on involvement in both venture capital and project financing for complex, technology-driven companies. Many of the portfolio companies operate with advanced technical processes. Experience in a technical industry is important to understand the underlying technologies and business models at play. Main Responsibilities Find, analyze, and evaluate new investment opportunities in deep tech. Structure and negotiate intricate investment deals. Actively manage the investment portfolio and build strong stakeholder relationships. Grow and share market knowledge within deep tech and high-tech sectors. Lead deal teams and support the professional development of team members. Establish and maintain connections with co-investors and industry experts. Location This role is based in Amsterdam, Noord-Holland, Nederland.

Join Vandebron on Our JourneySince our inception in 2014, we have been committed to revolutionizing the energy market by directly connecting consumers with local green energy producers. As we enter Chapter 2 of our mission, we aim to make 100% green energy available 100% of the time through innovative solutions such as flexible use of wind and solar parks, smart charging for electric vehicles, and efficient energy storage.At Vandebron, we are proactive in contributing to a sustainable future, with a dash of rebellion. We believe in good energy and smart solutions.Your RoleAs a Junior Business Analyst, you will be at the core of the sustainable energy market, working within the Producer Operations team. You will engage with a diverse portfolio of energy producers, including solar and wind farms. Collaborating closely with our Business Analyst, Emma, you will learn the ins and outs of the field, gaining significant responsibilities from day one in a dynamic atmosphere amid a major system transformation.Key ResponsibilitiesYou will act as the bridge between complex data and our sustainable producers. While Emma focuses on the future of our billing services and strategic projects, you will ensure the daily operations run smoothly. Your role includes:Assisting the team in addressing complex inquiries from producers regarding their data and energy generation.Monitoring the performance of our producers' assets closely and proactively intervening in case of discrepancies.

Join Us at Adyen Adyen is the leading financial technology platform, delivering integrated payments, data, and financial products for global brands like Meta, Uber, H&M, and Microsoft. We are committed to fostering a culture of ambition and innovation, where every team member is empowered to excel in their career. At Adyen, we cultivate an inclusive environment that provides opportunities for our employees to thrive, supported by a strong culture and resources that enable personal growth. Our team consists of motivated individuals who collaboratively tackle complex technical challenges at scale, delivering ethical and innovative solutions that accelerate business success for our clients worldwide. Position: Senior Learning Experience Designer – Tech Academy The Tech Academy at Adyen is a pivotal talent accelerator, revolutionizing the learning experience for our global tech organization. By integrating fast-paced enablement and learning into everyday workflows, we empower engineers, product managers, and PX professionals to innovate swiftly, adapt to changes, and drive customer growth on a global scale. As a Senior Learning Experience Designer, you will play a crucial role at the intersection of technical enablement, operational transformation, and behavioral change. Your mission will be to craft impactful learning experiences that seamlessly integrate into team workflows, transforming learning into a strategic asset for speed, accountability, and tangible business results. Key Responsibilities: Collaborate with tech teams at various levels to create learning experiences that are practical, engaging, and immediately applicable. Partner with technical teams to implement best practices throughout the product and development lifecycle. Enhance tech onboarding processes and critical employee journey moments, ensuring a culture of accountability and ownership. Develop diverse learning formats including programs, micro-learnings, digital nudges, workflow prompts, and lightweight automations, leveraging AI tools. Collect feedback from individual contributors and leaders to identify and address cultural challenges and workflow gaps, translating them into effective learning solutions. Design and execute experiments to test new routines, peer accountability frameworks, and workflow optimizations. Showcase success stories where tech teams exemplify strong ownership and contribute to cultural evolution. Equip teams with the tools to conduct their own peer-led learning sessions, supported by accessible digital tools and AI enhancements. Establish feedback loops and review delivered content, iterating quickly based on user engagement and insights.

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.