Machine Learning Educator at Jane Street | New York

About the Position Join Jane Street as a Machine Learning Educator, where your expertise will empower our team to excel in the dynamic world of machine learning. As a vital contributor, you will guide our members in understanding and applying machine learning concepts effectively. At Jane Street, machine learning is integral to our global operations. Our fast-paced trading environment provides an ideal platform for hands-on ML experimentation, facilitating the integration of innovative ideas seamlessly. Our team is composed of dedicated professionals who share a passion for software engineering and the creation of user-friendly APIs and systems. Education is a cornerstone of our philosophy. We believe that continuous learning and exploration are essential for our growth. As machine learning integrates into every facet of our operations, we are committed to enhancing our educational offerings. The Machine Learning Educator will play a crucial role in developing and enhancing our educational programs and courses, covering a wide array of topics from introductory machine learning to advanced model training techniques. We are seeking a candidate who: Is a proficient and engaging teacher, demonstrating excellent writing and presentation skills. Is adept at coding, with a strong desire to contribute to our machine learning research through hands-on experience with our technology stack. Serves as a mentor to aspiring educators, guiding them in curriculum development and teaching methodologies. We look forward to connecting with individuals who have experience teaching machine learning in academic or industry settings. If you are a recruiting agency interested in partnering with us, please reach out to agency-partnerships@janestreet.com.

About the PositionJoin our dynamic team at Jane Street as a Machine Learning Researcher, where your intelligence and curiosity will be pivotal in advancing our machine learning initiatives.On the Machine Learning team, you will develop sophisticated deep learning models that underpin our trading strategies. You will have access to an expansive computing cluster, equipped with tens of thousands of powerful GPUs. The trading domain presents unique challenges, including large-scale models and nonstationary datasets within a competitive multi-agent environment, compelling us to explore innovative techniques.At Jane Street, our researchers, engineers, and traders collaborate closely, sitting just a few feet apart to refine models, construct systems, and execute trading strategies. Your day could involve delving into market data, fine-tuning hyperparameters, troubleshooting distributed training performance, or analyzing trading behaviors of our models in real time.We will depend on your extensive knowledge of the machine learning landscape and your familiarity with diverse methodologies, whether they stem from LLMs, image models, reinforcement learning agents, recommendation systems, or traditional ML approaches. You will contribute to training models for our next-generation deep learning-based trading strategies and help cultivate the foundational insights necessary for navigating new markets and scenarios. Additionally, you will be involved in recruiting new team members, participating in conferences, and imparting your expertise to colleagues—all considered vital and impactful aspects of this role.About YouIf a career in finance is new to you, you’re not alone; many of our team members started from similar backgrounds. If you possess a curious mindset and a passion for tackling intriguing problems, we believe you will thrive here. While there isn’t a fixed skill set we are seeking, ideal candidates should possess:Hands-on experience with empirical machine learning challengesThe capacity to apply logical and mathematical reasoning to various problemsA strong intellectual curiosity and enthusiasm for cutting-edge research across multiple ML domainsProficiency in utilizing a diverse range of models and techniquesPractical coding skills to quickly implement and iterate on your concepts using Python and your preferred ML frameworkA willingness to ask questions, acknowledge mistakes, and embrace new learning experiencesFor further insights, take a look at our interview process and meet our team.

Join our dynamic Machine Learning team at Jane Street, where we're seeking an innovative engineer with extensive experience in machine learning and a solid mathematical background. Your role will be pivotal in shaping the trajectory of our ML platform. Machine learning is integral to Jane Street's global operations. Our fast-paced trading environment offers a unique platform for rapid experimentation in ML, enabling us to seamlessly integrate new concepts. Our team comprises passionate individuals who value exceptional software engineering and the design of user-friendly APIs and systems. Your deep understanding of the ML ecosystem and various methodologies—be it neural networks, random forests, gradient-boosted trees, or advanced ensemble techniques—will be crucial for informed decision-making, ensuring we utilize the optimal tools for each challenge. You will also focus on refining research workflows to enhance our feedback loops. Successful ML engineers can grasp the mechanics of diverse modeling techniques and communicate the underlying mathematics effectively. If you haven't considered a career in finance before, rest assured, you're not alone; many of our team members started in similar positions. While we don't have a rigid set of qualifications, your curiosity and passion for solving complex problems will greatly contribute to our team culture.

Join our dynamic Machine Learning team at Jane Street, where we are seeking a talented Machine Learning Engineer with extensive experience in the field and a solid mathematical background. You will play a crucial role in shaping the direction of our cutting-edge ML platform. Machine learning is a vital component of Jane Street's global operations. Our rapidly evolving trading environment provides a unique platform for ML experimentation, enabling us to seamlessly integrate innovative ideas. Our team is composed of passionate individuals dedicated to the art of software engineering and the creation of user-friendly APIs and systems. We depend on your deep understanding of the ML landscape and various methodologies—be it neural networks, random forests, gradient-boosted trees, or advanced ensemble methods—to facilitate informed decision-making and ensure we employ the most effective tools for each challenge. Your contributions will also focus on refining research workflows to enhance feedback loops. Successful candidates will grasp the underlying mechanics of different modeling techniques and possess the ability to articulate the mathematical principles that govern them. If finance is a new frontier for you, you're not alone—many of us were once in your shoes. While we don't have a strict checklist of qualifications, if you possess a curious mind and a drive to tackle intriguing challenges, we believe you’ll thrive in our environment.

About the Position Jane Street is seeking intelligent and inquisitive minds to join our expanding Machine Learning team and lead our innovative ML initiatives. As a Machine Learning Researcher, you will develop advanced deep learning models that enhance our trading strategies, supported by our powerful computing cluster featuring tens of thousands of high-performance GPUs. The trading landscape presents unique challenges—such as complex models and dynamic datasets within a competitive multi-agent setting—driving us to explore cutting-edge methodologies. At Jane Street, our researchers, engineers, and traders collaborate closely, often just a few feet apart, to train models, design systems, and execute trading strategies. Each day may involve analyzing market data, optimizing hyperparameters, troubleshooting distributed training performance, or assessing our models' real-world trading behavior. Your extensive knowledge of the machine learning ecosystem and familiarity with diverse methodologies—ranging from LLMs, image models, reinforcement learning agents, recommendation systems, to classical ML techniques—will be instrumental in shaping the future of ML at Jane Street. You will be responsible for training models that will inform the next generation of our deep learning-driven trading strategies, as well as building the foundational insights necessary for navigating new markets and situations. Additionally, you will engage in hiring new talent, attending conferences, and sharing knowledge with teammates—all considered vital aspects of your role.

Jane Street is seeking a talented engineer with a strong background in low-level systems programming and optimization to join our dynamic Machine Learning team.As a key component of Jane Street's global operations, machine learning plays a pivotal role in our continually evolving trading environment. This unique setting offers rapid feedback for ML experimentation, enabling us to seamlessly integrate fresh ideas into our processes.Your primary responsibility will be to enhance the performance of our machine learning models during both training and inference phases. We prioritize efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference for research purposes. This involves improving standard CUDA implementations, while also adopting a holistic approach that considers storage systems, networking, and both host and GPU-level factors. Furthermore, we aim to ensure our platform's efficiency down to the granular level—how effective is our throughput? How long does it realistically take to load a vector from the L2 cache?If finance is not your primary background, rest assured—you are not alone. Many of our team members come from diverse fields. If you possess a curious mindset and a passion for tackling challenging problems, you will likely find a home here.

About the PositionJoin Jane Street as we innovate and expand OxCaml, a specialized variant of OCaml designed for performance engineering. Your role will be crucial as we not only create and implement this programming language but also ensure our developers master its intricacies. That’s where you come in!We are seeking a talented and experienced educator who can create engaging educational materials and deliver effective courses to empower our engineers to excel in OxCaml. You will play a vital role in our internal training initiatives, enhancing our OCaml Bootcamp for new hires and developing advanced tutorials for seasoned developers eager to leverage OxCaml’s sophisticated features.This role presents a unique opportunity to collaborate closely with the language's designers and implementers, contributing to the educational framework that will shape the future of OxCaml at Jane Street.Here’s what we’re looking for:Adept in teaching, with proven skills in writing and presenting educational content effectively.A strong understanding of our technology stack, complemented by a passion for coding, as significant time will be dedicated to hands-on programming.Experience in curriculum development and teaching, alongside mentoring others who aspire to enhance their teaching skills.We encourage candidates with experience in teaching computer science topics within university environments, as well as those who have taught technical subjects in professional settings, to apply.

About the PositionJane Street is on the lookout for a dedicated Paralegal to join our dynamic Legal & Compliance team. In this pivotal role, you will play a vital part in managing contracts—ranging from financial agreements to vendor contracts and leases. Your organizational skills will be crucial as you handle workflows, maintain databases, and support daily legal operations and various ad hoc projects.Collaborating with seasoned professionals, you will help streamline processes and enhance the systems that keep our legal operations efficient. As a primary point of contact, you will engage with diverse teams across Jane Street, including traders, technologists, procurement specialists, market data analysts, and engineering personnel.Key responsibilities include:Collecting signatures, drafting, blacklining, proofreading, scanning, and completing essential forms.Organizing and upkeeping centralized directories, contract templates, and supporting documents.Reviewing and preparing various legal documents, including onboarding materials, Powers of Attorney, Non-Disclosure Agreements, service and vendor contracts, leases, and more, while ensuring proper filing and maintenance in our database.Preparing and maintaining lease abstracts for our offices, data centers, and co-locations.Facilitating data collection and provision for stakeholders related to their projects, while implementing process improvements that enhance efficiency and scalability in our legal operations and contract workflows.About YouA Bachelor’s degree accompanied by 3+ years of administrative or paralegal experience.Experience with corporate or financial transactions at a trading firm, hedge fund, law firm, or private equity firm, or with vendor/procurement and leasing within financial services or tech.Self-motivated with a strong independent work ethic.Exceptional organizational skills with the ability to manage competing priorities effectively.Strong communicator with excellent interpersonal skills.Proficient in database management, project management, and AI tools.A reliable and flexible team player with a courteous demeanor.Excellent computer skills, including proficiency in MS Word, Excel, Google Workspace, and web-based portals.A notary license is preferred or a willingness to obtain one.

Position OverviewJane Street is seeking talented Quantitative Researchers to join our innovative team. In this role, you will develop advanced models, strategies, and systems for pricing and trading financial instruments. Your expertise in experimental design, dataset generation, time series analysis, feature engineering, and model building will be applied to financial datasets, all while collaborating with a team of experts who will challenge and enhance your methodologies.At Jane Street, our researchers, engineers, and traders work closely together in a dynamic environment, leveraging petabytes of data and a vast GPU cluster equipped with tens of thousands of high-performance GPUs. Your day might involve deep analysis of market data, tuning hyperparameters, debugging distributed training issues, or evaluating how our models perform in real-world trading scenarios.We value diversity in our modeling solutions, embracing a broad range of statistical and machine learning techniques, from linear models to deep learning, tailored to meet the unique challenges we face. The most successful researchers will possess a strong curiosity about how their work contributes to our trading operations and how to translate their insights into actionable strategies.

About the RoleJane Street is seeking a skilled Data Engineer dedicated to transforming our trading operations through robust data management. This role is pivotal as we strive to gain a comprehensive and precise understanding of the data that drives our trading strategies.In this position, you will leverage a combination of proprietary and open-source tools to analyze datasets from diverse sources. Your responsibilities will include identifying anomalies, standardizing data formats and symbologies, automating ETL processes, and enabling our traders to derive insightful analytics.We value individuals who have a passion for exploring data and are adept at communicating their insights to various stakeholders, collaborating closely with both traders and software engineers.While prior experience in financial data is an advantage, we welcome talented engineers from diverse backgrounds and are committed to providing the necessary training.

About the Position Jane Street is on the lookout for an IT Operations Engineer to bolster our technology infrastructure by supporting, configuring, and maintaining a variety of systems. This includes desktop environments, network infrastructure, and diverse application platforms. Technology is the heartbeat of our operations. In this role, you will be instrumental in addressing tech support inquiries, setting up and configuring Windows, Linux, and macOS laptops, desktops, and servers. You'll also support our Windows domain infrastructure, monitor critical systems, and engage in projects aimed at enhancing operational efficiency. During quieter times, you'll have the opportunity to utilize automation tools like PowerShell to devise elegant, scalable solutions that streamline our processes. Your success in this role will hinge on your exceptional problem-solving skills and ability to communicate effectively with our technically adept users. We seek an individual who can troubleshoot in real-time, listen patiently, ask clarifying questions, and humbly acknowledge mistakes. You will receive immediate feedback and find satisfaction in seeing your solutions make a tangible impact on our business. This position is part of our global IT Operations team, which consists of engineers who monitor and manage our mixed Windows/Linux/macOS environments across a diverse computing landscape that spans multiple continents. Collaborating with specialized teams both within and outside the IT department, you will help create and sustain the infrastructure that underpins our trading operations. Please note that this role may involve occasional physical tasks, including lifting equipment up to 40lbs. About You A genuine passion for assisting others and solving technical challenges. A robust foundation in information technology and networking principles. Technical proficiency in networking, programming, or system administration. Familiarity with Windows Desktop/Server Operating Systems and best practices within a production setting. Practical knowledge of Active Directory, Group Policy, and other common Windows administrative subsystems. Clear, concise, and empathetic verbal communication skills. Strong written communication abilities for technical documentation and knowledge base upkeep. Willingness to work occasional evening or weekend hours. Familiarity with Linux or macOS operating systems is a plus. Additional technical proficiency in programming or scripting for Windows (especially PowerShell) or Linux (especially Bash) is also advantageous.

About the Position Join our dedicated team of Linux Engineers at Jane Street, where you will be instrumental in maintaining the vital infrastructure that supports our cutting-edge technology. Our team comprises skilled Systems Engineers, Administrators, and Programmers focusing on enhancing the platform that drives Jane Street's production trading systems. With a blend of proprietary and open-source software, you will have the opportunity to explore and innovate at every level. Your day-to-day activities might include debugging kernel performance, developing management tools, or addressing production issues on the fly. Solving complex systems challenges is our forte. We emphasize deployment automation, scalable configuration management, and meticulous monitoring in our ongoing projects. While we automate as much as possible, it's not out of laziness; rather, we believe that automation minimizes errors and lightens our workload—plus, we find it enjoyable. Working within our team provides a unique opportunity to collaborate with various departments across the company. You will work closely with teams in trading, technology, and operations to develop and sustain systems that have a firm-wide impact. By leveraging feedback from other groups and utilizing our custom monitoring tools, we aim to resolve production issues swiftly, conduct thorough root-cause analyses, and implement long-term solutions in a clean and efficient manner. We don't require you to have extensive experience; we are eager to hire intelligent problem solvers and guide them through their learning journey. You will train alongside seasoned team members in a hands-on environment, acquiring the skills necessary to make significant improvements to our infrastructure daily.

At Jane Street, we're seeking a skilled Macro Analyst to support our global trading and research teams in analyzing macroeconomic and geopolitical factors affecting assets. The ideal candidate is adaptable, able to quickly familiarize themselves with new regions or subjects, develop insightful analyses, and apply these insights to broader market questions. Your expertise in global macro topics will be crucial in enhancing our trading strategies.Key Responsibilities:Engage in in-depth discussions with traders and researchers, providing macroeconomic updates and quantitative analyses, and clearly articulating your data-driven insights.Collaborate with global sell-side sales and research contacts, synthesizing broker insights and forming your own opinions.Conduct comprehensive analyses into specific geographies or macro topics, from formulating relevant questions and gathering data to deriving conclusions and recommendations based on both quantitative and qualitative assessments.

About the PositionJane Street is seeking a skilled Power Analyst to join our dynamic team. In this role, you will be instrumental in pricing and executing trades within the power markets. Your responsibilities will include developing models that analyze cross-commodity correlations, simulating returns for various strategies, and enhancing our current desk strategies to achieve optimal performance.About You5+ years of experience as an analyst within power marketsStrong analytical mindset with proficiency in probability and statisticsAbility to thrive in a fast-paced, collaborative environmentExcellent communication and interpersonal skillsMotivated and eager to learn, adaptable, and responsibleCoding skills are a plus

About the Position Join Jane Street as a Quantitative Trader, where you will play a pivotal role in identifying market signals, analyzing and executing trading strategies, constructing quantitative models, and conducting in-depth statistical analyses. You will also be responsible for building sophisticated algorithmic trading systems, managing risks, and developing new business opportunities. Our trading desks foster a collaborative environment, allowing you to work closely with experienced traders who are dedicated to mentoring and supporting you. Expect to take on significant trading responsibilities within weeks to months, complemented by a robust year-long educational curriculum designed to enhance your skills. At Jane Street, we blur the lines between research, technology, and trading, ensuring close collaboration as we push the boundaries of innovation. We handle vast amounts of data with a computing cluster encompassing hundreds of thousands of cores and an extensive GPU cluster. We embrace a variety of statistical and machine learning techniques, from linear models to deep learning, to tackle complex problems effectively.

About the Role As a Quantitative Trader at Jane Street, you will be part of a dynamic team that utilizes our proprietary trading models to execute over a million trades on busy days. You will collaborate with fellow traders to identify and capitalize on pricing inefficiencies while also developing models, managing risk, and exploring new business opportunities. Our seasoned traders will mentor you, allowing you to grow from an assistant role to assuming greater responsibilities as your skills develop. Technology is integral to our trading strategy, and we pride ourselves on being as much a technology firm as a trading company. We primarily utilize OCaml, a statically-typed functional programming language, and boast the largest team of OCaml engineers in any industrial environment.

About the RoleAt Jane Street, we are continually seeking skilled software engineers to join our dynamic team across all offices. Technology is integral to our approach, empowering engineers to engage across all facets of our operations.We are strong advocates for functional programming, primarily utilizing OCaml, a statically typed functional programming language. In recent years, Python has emerged as a crucial tool within Jane Street’s research and trading domains, serving as the preferred language for data analysis, visualization, and machine learning tasks.Our commitment to open-source software is reflected in our daily practices, with over a million lines of our own code made available as open-source contributions.

About the PositionJane Street is seeking a dedicated Data Specialist to enhance our understanding, improvement, and maintenance of the data that drives our trading operations. As a key member of our engineering team, you will collaborate closely with software developers, traders, and operations professionals throughout the organization.Your role will involve a variety of tasks, including analyzing, onboarding, validating, and generating large data sets from multiple sources. You will work hand-in-hand with your team and trading desks to identify requirements and enhance our software solutions. Additionally, you will engage directly with exchanges and data vendors to address and resolve critical trading issues while developing a solid understanding of our data to support business growth in new areas.

About the Position We are seeking a talented FPGA Engineer with a strong foundation in both software and hardware design to join our innovative team in developing cutting-edge FPGA-based applications. At Jane Street, we strongly believe in leveraging advanced tools to enhance the programming experience, making it faster, more enjoyable, and reliable. We apply these principles to our FPGA engineering efforts and are on the lookout for individuals passionate about utilizing programming language technology to optimize the design, testing, and validation of hardware systems. We employ Hardcaml, an OCaml library that allows for concise RTL hardware descriptions. You will gain significant exposure to the essential libraries and tools integrated into our development environment. No prior knowledge of Hardcaml is required. In this role, you will be integral to the design and implementation of new FPGA applications from the ground up, as well as refining our internal high-level design and testing tools. Your daily responsibilities will involve extensive use of OCaml and Hardcaml for RTL design and testing/integration, along with some exposure to Verilog and C. While experience with OCaml is not mandatory, a solid background in typed programming languages is advantageous. If you wish to explore more about our culture and processes, feel free to check out our interview process, meet some of our newest hires, or watch our OCaml All The Way Down talk and listen to the Programmable Hardware podcast episode.

About the Position Join our global team at Jane Street as an IT Security Engineer, where your extensive Windows engineering expertise and hands-on experience with contemporary security controls will play a pivotal role in safeguarding our IT platforms. You will be instrumental in enhancing the security of our internal IT and remote work environments through a blend of technical execution, consultation, and strategic influence across the IT team. We seek a candidate who possesses exceptional judgment and an eye for prioritizing intricate remediation efforts. Your insights will guide our mitigation strategies, while you provide essential technical counsel and decision-making support as required. Your responsibilities will include: Proactively proposing, designing, testing, implementing, and documenting advanced security controls. Coordinating and delivering security solutions across our IT platforms, while identifying opportunities for further automation of intelligent workflows. Developing scalable security controls, investigating emerging threats, creating new security tools, and spearheading vulnerability management initiatives. This role is part of our dedicated IT Engineering team, which monitors and manages our computing environment across three continents. Your analytical skills and expertise will be critical in supporting our colleagues' daily operations and ensuring our systems are maintained to the highest standards.