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Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading team in New York City. Responsibilities Apply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior. You will contribute across the full strategy lifecycle — from alpha research and signal generation to portfolio optimization and execution logic. You will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life. We're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow. Qualifications 2+ years of prior work experience in statistical arbitrage or systematic trading research Proven ability to conduct research with large, noisy real-world datasets Strong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not required Degree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorate Deep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environment Ability to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearly The annual base salary range for this position is $200,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-AC]

Location: Bremen, Germany About the position You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures. Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field. Strong research interest and practical experience in one or more of the following areas: semantic parsing and structured representation learning knowledge graphs or graph-based reasoning transformer models, sequence modeling, or GNNs natural language generation and explainability educational AI, personalization algorithms, or cognitive modeling Evidence of research potential through publications, a strong thesis, or significant projects. Experience or interest in innovative teaching and learning approaches. Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases. Responsible, self-motivated, and capable of working independently as well as collaboratively. Excellent verbal and written communication skills. Intercultural competence and experience in international environments. Fluency with co-pilot tools for coding and writing. Fluency in English, the language of instruction and communication on campus. Funding & Appointment Terms The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €550 mini-job allowance to support parallel part-time employment (optional) Application Details Expected start date: September , 2026 Application package must include: Curriculum Vitae (CV); Academic transcripts ; A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Bremen, Germany About the position You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile. Mandatory requirements PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI). Demonstrated expertise in at least two of the following areas: semantic parsing or structured NLP knowledge representation, reasoning graphs, or GNNs natural language generation, explainability, or rationale modeling ontology alignment, cross-domain transfer, or representation learning personalization algorithms, metacognition, or educational AI human-in-the-loop systems or RLHF Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic writing skills. Demonstrable ability to design rigorous experimental pipelines and validation methodologies. Responsible, independent, and proactive research personality with strong teamwork skills. Intercultural experience and readiness to work in an international research environment. Fluency with AI co-pilot assistants for coding and writing. Fluency in English, the primary language of research and instruction on campus. Preferred qualifications: Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets. Prior involvement in interdisciplinary or applied research projects. Potential to contribute to competitive funding applications. Experience with open-source releases or reproducible research pipelines. Application Details Starting date: September , 2026 Contract: Full-time (100%), TV-L E13 Work mode: Hybrid Application package must include: Curriculum Vitae (CV); A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility.  We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Design trading strategy simulation software optimized for distributed computation Develop software for large scale data acquisition, storage, accessibility, and visualization Create user interfaces for data exploration and post trade analysis Accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field Excellent software development skills in modern C++ and Python A strong understanding of object oriented design, data structures and algorithms A strong understanding of quantitative finance mathematics A solid foundation in programming with the ability to think, communicate, and code clearly A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network) Skills in multi‐threaded applications An understanding of how to build software for long term use and broad adoption Demonstrated ability to produce algorithmic code in a fast-paced environment The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Research Engineer , you will be an integral member of a systematic research team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility.  We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Design trading strategy simulation software optimized for distributed computation Develop software for large scale data acquisition, storage, accessibility, and visualization Create user interfaces for data exploration and post trade analysis Accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field Excellent software development skills in modern C++ and Python A strong understanding of object oriented design, data structures and algorithms A strong understanding of quantitative finance mathematics A solid foundation in programming with the ability to think, communicate, and code clearly A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network) Skills in multi‐threaded applications An understanding of how to build software for long term use and broad adoption Demonstrated ability to produce algorithmic code in a fast-paced environment For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Greenwich DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team We are a fast-moving and progressively-thinking team that intimately collaborates with traders and quantitative researchers to implement, refine and deploy alpha signals, evaluate and maintain trading tools, improve our research pipeline, while ensuring that our code bases remain nimble, maintainable and extensible. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. About the Role As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. You will: Work directly with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Embed with trading desks, work intimately with traders and portfolio managers, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Collaborate with other engineering teams to accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack on a continuous basis What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field A minimum of 2+ years’ experience using Python in a production setting A strong understanding of quantitative finance and mathematics Experience with linux-based, large-scale, concurrent, high-throughput, low-latency software systems A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience with low-level systems programming languages (C/C++, Rust, Zig) is a plus Experience with functional programming is a plus This role will be for our Greenwich, CT office. The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team We are a fast-moving and progressively-thinking team that intimately collaborates with traders and quantitative researchers to implement, refine and deploy alpha signals, evaluate and maintain trading tools, improve our research pipeline, while ensuring that our code bases remain nimble, maintainable and extensible. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. About the Role As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. You will: Work directly with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Embed with trading desks, work intimately with traders and portfolio managers, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Collaborate with other engineering teams to accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack on a continuous basis What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field A minimum of 2+ years’ experience using Python in a production setting A strong understanding of quantitative finance and mathematics Experience with linux-based, large-scale, concurrent, high-throughput, low-latency software systems A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience with low-level systems programming languages (C/C++, Rust, Zig) is a plus Experience with functional programming is a plus The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Bremen, Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Interns are NOT eligible for equipment and other benefits as the position is temporary. The Reality The frontier models are converging into commodities; the engine is no longer the differentiator. The scarcity in 2026 is not the model. We are not looking for people to fine-tune Llama on toy datasets or write "better prompts." We are building the runtime systems that turn probabilistic token generation into reliable workers that finish 50-step tasks without spiraling. We are solving the math of multi-step reliability through engineering, not wishful thinking. What You Will Solve You will work on the Agentic Harness , treating the LLM as a component within a larger, deterministic control system. Your research will focus on: Architecting loops that survive error accumulation. You will build verification layers that force the agent to recognize its own hallucinations and self-correct. You will implement systems where the agent compiles its own constraints and the harness enforces them via constrained decoding or external execution. You will optimise KV-cache hit rates and design "restorable compression" strategies to prevent attention decay. Who We Are Looking For We are looking for systems thinkers who happen to know ML, not the other way around. You know that a demo is not a product. You are interested in the "boring" engineering: state machines, retries, idempotency, serialisation — that actually makes agents work. You are comfortable working with the raw output of the model and building robust software in Python or Rust around it. You understand why dynamic tool loading destroys inference economics. You prefer deterministic guardrails over "prompting it to be nicer." You are willing to read a 500-line trace of a failed agent loop to find the exact moment the context drifted. You care about the "last mile" of reliability. What We Offer For Interns: Internship Duration: from 2 months or more Type of internship: 100% remote or hybrid in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD) What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Responsibilities: — Lead and contribute to research on how frontier AI systems influence people. Requirements: — Experience or knowledge in GLM, human-computer interaction, machine learning, reinforcement learning, human experiments, computational social science, statistics, AI evaluation, Natural Language Processing, cognitive science, statistical modelling, AI safety, R, data science, frontend engineering, Python, AI coding, fine-tuning, psychology, language models. Benefits: — Hybrid work format in London, UK. Salary range: $65,000 - $145,000 per year.

Responsibilities: — Own and lead UX research activities across discovery, concept validation, and usability phases — Plan, conduct, and synthesise user interviews, usability testing, stakeholder interviews, and journey mapping — Create actionable outputs like personas, user journeys, service blueprints, and research reports — Proactively identify users to talk to—whether through clients, internal teams, or customer success — Translate research insights into product opportunities and design inputs — Collaborate with UX designers, product managers, and front-end teams throughout the design process — Help shape our research practice as we scale, including mentoring junior team members when needed — Proactively identify new opportunities for research within existing client engagements to extend project reach Requirements: — 3–6 years of hands-on UX research experience (not internships or academic) — Direct experience conducting research for enterprise or B2B products (SaaS, healthcare, platforms, or internal tools) — Comfort working with US-based users and stakeholders, and ability to adapt research communication accordingly — Strong system-level thinking: you can map workflows, identify gaps, and untangle complex journeys — Ability to handle open-ended, ambiguous briefs—you’re someone who finds ways to start and drive the process — Familiarity with creating journey maps, service blueprints, or ecosystem maps — Excellent verbal and written communication, with a knack for explaining research to cross-functional teams Bonus Points If You Have: — Experience working in healthcare, automation, or other complex, high-stakes domains — Exposure to continuous discovery practices alongside product teams — Comfort engaging with product owners and client stakeholders to shape research direction and priorities Benefits: — Opportunities for growth and continuous learning (LinkedIn learning & professional trainings) — Flexible working hours and remote options — A collaborative and innovative team culture — Opportunity for career growth and leadership roles Location: Pune / Remote Experience: 3–6 years Type: Full-time

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: India; Australia; Japan; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

Location: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. As a UX Researcher at Phantom, you will help us understand how people manage their money, discover opportunities, and trade with confidence. You will combine direct user understanding with behavioral data to build shared evidence that informs strategy, priorities, and execution across Product, Design, Engineering, Data Science, Marketing, Support, and leadership. The role sits within Design and partners across functions to prioritize important questions, communicate what findings mean for their work, and follow through on how insights are used. RESPONSIBILITIES - Partner with cross-functional teams to prioritize the questions that matter most, matching each study’s scope, method, and depth to the decision, available resources, and risk. - Lead discovery and evaluation across the product lifecycle: uncover unmet needs, test early concepts, and assess how shipped experiences work in people’s real contexts. - Partner with Data Science to connect user understanding with funnel and cohort analysis, experiments, and outcome measurement. - Translate research into clear insights and recommendations that inform cross-functional strategy, priorities, and product decisions. Use concise narratives, visual evidence, and working sessions to help teams and leadership understand implications, raise risks, and follow through from findings to action. - Bring Product, Design, and Engineering into the research process, and coach partners to run appropriate lightweight studies with a high quality bar. - Make research easy to engage with through clear paths for researcher-led work, coached self-service, and specialist support, backed by a well-maintained participant panel, reusable evidence, and practical tools. - Build a repeatable listening loop with Support, Marketing, and Data Science, combining direct research and targeted feedback to track changing needs across priority journeys and cohorts, while caring for participants and their information. QUALIFICATIONS - Significant experience leading product research end to end, with a portfolio showing your ownership and how your work changed product or business decisions. - Strong qualitative research craft and judgment about which methods fit which questions, including interviews, observation, concept testing, usability studies, and surveys. Balance speed and evidence quality according to the decision’s importance. - Sound analytical judgment, including the ability to partner with Data Science, interpret behavioral data, and explain sampling and evidence limitations. - Experience building or improving a research practice in an environment where you needed to prioritize, work independently, and help others learn. - Clear, direct, and kind communication, strong synthesis, and demonstrated ability to translate research into insights that inform decisions across functions. Explain implications for different audiences, challenge assumptions, surface risks, and build alignment through evidence. - Proactive ownership and sound judgment: make deliberate tradeoffs, deliver with urgency and quality, and move work forward when information is incomplete. - Curiosity about financial products and the ability to make complex or unfamiliar experiences understandable. Nice to have - Experience researching consumer fintech, investing, trading, payments, or crypto. - Experience recruiting across diverse markets or studying trust, risk, onboarding, and repeat use. - Familiarity with product analytics, SQL, or AI-assisted research workflows, supported by strong human judgment. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.