Senior Deep Learning Researcher

Join our innovative team at Pinely as a Senior Deep Learning Researcher, where your expertise will drive advancements in artificial intelligence and machine learning. We are looking for a passionate individual who thrives in a research-driven environment and is ready to take on the challenge of contributing to the high-frequency trading (HFT) sector. You will work independently on pioneering research projects that push the boundaries of technology.Key ResponsibilitiesEngage in groundbreaking research within the realms of artificial intelligence, machine learning, and associated quantitative disciplines.Design and implement state-of-the-art deep learning models and architectures.Conduct thorough analyses of extensive, unstructured, and noisy datasets to derive valuable insights.Investigate emerging methodologies and technologies to continuously improve research outcomes.QualificationsDemonstrated research experience, including publications in prestigious journals and conferences, or a PhD/MD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.Robust foundation in machine learning and mathematical statistics with a proven track record of analyzing large, unstructured datasets.Hands-on experience and deep understanding of contemporary deep learning architectures, particularly transformers and their variants.Strong programming skills in any language, preferably Python.Experience in executing high-quality research projects.What We OfferAttractive base salary and comprehensive social benefits.Generous bonus structure with flexibility in salary and employment terms.Access to cutting-edge hardware and software, enabling you to implement innovative solutions that drive tangible results.Opportunities to trade on numerous international exchanges.Flexible work environment with minimal bureaucracy and pressure.Tuition reimbursement and sponsorship for conferences and training programs.

Join our dynamic team at Pinely as a Deep Learning Research Group Lead, where you will spearhead innovative AI research initiatives and take full charge of one of our key subgroups. This pivotal role is essential to our organization as our deep learning strategies increasingly drive our business growth each year. The team you lead will have a significant impact across various markets and asset classes.Your Responsibilities:Lead the development of advanced AI models, particularly foundational models for market data, to accurately forecast prices of financial instruments in diverse and rapidly changing markets.Define and steer the research agenda: formulate hypotheses, design experiments, and thoroughly validate findings.Mentor and guide researchers, focusing on recruitment, motivation, development, and retention of top talent.Streamline the research process to ensure it is efficient, transparent, and value-centric.Consolidate results from various researchers into a cohesive, functional product.Engage in coding and strategy development, not merely oversight.Gradually broaden your responsibilities within the deep learning division.Candidate Profile:A passionate and adaptable deep learning researcher with a strong background in technical leadership.Preferably with expertise in competitive, application-driven AI fields such as large language models, reasoning systems, and generative models (e.g., video).Motivated by depth of research and real-world impact, eager to contribute meaningfully to both the team and the broader field.A supportive leader who maintains a high-performance pace while nurturing a positive team environment.While prior trading experience is beneficial, it is not mandatory; we value a first-principles mindset and a readiness to innovate within quantitative markets.What We Offer:Significant influence on a core aspect of the company—deep learning is vital for our growth.Immediate effect on real profit and loss: streamlined processes, rapid feedback loops, and direct evaluation of your contributions.A unique setting for data-driven research, complete with extensive datasets, reproducible experiments, and results substantiated by billions of observations.Robust engineering support and access to a Data Center equipped with H200s, doubling in capacity each year.Engagement with complex challenges in a highly competitive environment characterized by low signal-to-noise ratios and vast amounts of loosely correlated data that demand innovative, rigorous, and advanced solutions.The chance to create foundational models for finance, shaping the future of the quantitative industry.The freedom to experiment, delve into extensive research, and establish your vision for model and strategy development.A top-tier team based in Amsterdam, with strong offline collaboration and a streamlined hierarchy.

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

Join our 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.

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.

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 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.

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

About CuspAICuspAI is a pioneering AI company dedicated to unlocking breakthrough materials essential for advancing human progress. While nature has taken billions of years to refine molecules, we leverage the power of AI to achieve trillion-dollar material breakthroughs in mere months instead of millennia. Our founding team is recognized as the most cited globally, featuring elite researchers in AI, chemistry, and engineering.We tackle some of the most pressing and complex challenges, including energy solutions, clean water access, future computing technologies, and carbon capture. This is merely the beginning of what our innovative 'search engine' for next-generation materials can achieve.Join our diverse and forward-thinking team at the intersection of AI and materials science, where your contributions will foster impactful partnerships and drive innovation, scalability, and collaboration across industries. Your work is significant—let’s make it count.Be part of the on-demand materials revolution. Join us!

At JetBrains, 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 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.

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.

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.

About the RoleAs a Senior Learning & Development Advisor, you will play a pivotal role in redefining, innovating, and implementing our L&D programs. Collaborating closely with two other Learning Advisors, you will naturally take on a coordinating and guiding role within the team. This is a significant position with an impact on all levels of the organization, from junior lawyers to partners and business professionals. You will critically analyze existing programs and enhance their focus, coherence, and quality. Translating organizational objectives and strategic developments into concrete learning interventions, you will operate data-driven while ensuring practical applicability. Your responsibilities include:Redesigning and harmonizing existing learning and development programs, with clear learning objectives and measurable impact.Collaborating with the Lead Talent Development to develop a sustainable L&D architecture that aligns with De Brauw's strategy and culture.Translating organizational goals into actionable learning interventions and development pathways.Overseeing the implementation and rollout of updated programs.Advising partners, managers, and HR on strategic development issues.Selecting and managing external training partners and trainers.Evaluating and optimizing programs based on feedback and data analysis.Combining conceptual thinking with execution capacity: knowing when standardization is required and when customization is appropriate. Who Are You?We are looking for an experienced professional with a proactive and analytical mindset. You combine strategic insight with practical execution and have experience with complex learning trajectories within professional organizations, preferably in the legal or business services sector. Additionally, you possess:A completed relevant university degree (such as educational science or similar).A minimum of 5 to 8 years of experience in Learning & Development.Proven experience in redesigning and implementing extensive learning and development programs.Experience in stakeholder management at senior levels.Knowledge of modern learning principles, blended learning, and digital learning solutions (LMS/LXP).Strong analytical skills and experience in measuring the impact of learning interventions.Independence, proactivity, and the ability to provide guidance without formal hierarchical authority.Excellent communication skills in both Dutch and English.Content sharpness, carefulness, and persuasiveness; you are not afraid to critically evaluate existing programs and implement improvements.The ability to navigate easily within a complex organizational context, balancing interests and people.

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.

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.

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.

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.

Jump Trading Group is dedicated to pioneering research at the highest level. We empower brilliant minds in Mathematics, Physics, and Computer Science to explore and redefine scientific boundaries, applying cutting-edge research to global financial markets. Our unique culture fosters continuous innovation, demanding creativity, intellectual integrity, and a fierce competitive spirit. We believe in collaborative success, unlocking individual talents through teamwork and mutual respect. At Jump, the outcomes of our research transcend mere financial gains; we design, develop, and implement technologies that transform industries, support startups across various sectors, and collaborate with leading research institutions and universities to address complex challenges.The Quantitative Research teams at Jump Trading delve into global markets, striving to unravel the intricacies of diverse traded products and exchanges. They utilize exceptional statistical analysis and data mining expertise, applying their research findings to make forecasts and create profitable predictive trading models.