Pure Math Tutor

Applied Math Tutor

xAI

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor - Applied Math Specialist, you’ll play a key role in advancing SpaceXAI's mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You’ll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging applied math problems to boost performance. All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which candidates must be comfortable. RESPONSIBILITIES: * Use proprietary software applications to provide input/labels on defined projects. * Support and ensure the delivery of high-quality curated data. * Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. * Interact with the technical staff to help improve the design of efficient annotation tools. * Choose problems from applied math domains that align with your expertise, focusing on areas such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields where you can confidently provide detailed solutions and evaluate model responses. * Interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: * Must have either (a) a Master’s or PhD in Mathematics with a specialization in a subdomain of applied mathematics (there is a separate position for pure math) or (b) a medal in an International Math Olympiad (IMO) or similar level math competition. * Proficiency in reading and writing, both in informal and professional English. * Strong ability to navigate various information resources and databases. * Outstanding communication, interpersonal, analytical, and organizational capabilities. * Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. * A strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: * Math PhD with a specialization in a subdomain of applied mathematics. * Peer-reviewed applied math publications in well-regarded journals. * Previous AI Tutoring experience and/or experience teaching college courses. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. * For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.  On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.  * Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. * For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. * We are unable to provide visa sponsorship. * For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

AI Research Internship - XTY Labs

XTX Markets

The Firm  XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, New York, Singapore, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.   XTY Labs XTY Labs, a division of XTX Markets established in 2024, stands at the intersection of finance and cutting-edge machine learning research. The lab is designed to be a home for those eager to pioneer the future of algorithmic trading, with a strategic focus on developing and applying novel machine learning techniques to financial data. Situated in Hudson Yards, New York City, XTY Labs offers a state-of-the-art, “academia-like” workspace designed to inspire creativity and innovation. Led by Research Director Dr. Atlas Wang [Link], researchers will have the opportunity to explore new ideas and transform their advanced machine learning research into real-world financial solutions, backed by XTX Markets' expansive research cluster, rich datasets, and advanced technological infrastructure. Emphasizing practical application, XTY Labs’ mission is to swiftly integrate successful models into the market, directly enhancing XTX's trading strategies and operations. This direct pipeline from research to implementation establishes XTY Labs as a premier destination for those looking to make a significant impact in the financial sector through original machine learning research.   The XTY AI Research Internship **Please note that we are now only accepting applications from candidates who are available starting from January 2027 or later.** This 12–14-week research-focused internship, is designed for highly motivated students in the middle years of their advanced degrees, who are eager to push the boundaries of high-risk, high-reward AI research and rapidly integrate cutting-edge ideas into our advanced strategies. Top performing interns will be actively considered for full-time research roles in either our NYC or London teams. Why Join? * Work at the Frontier of Fundamental AI Research: Explore and innovate at the forefront of machine learning, optimization, generative AI, foundation models, distributed training, and other cutting-edge areas, driving direct business impact. * Fast-Paced Innovation: A unique opportunity to test, iterate, and refine cutting-edge concepts at industry speed, all taking place in weeks if not days. * Mentorship & Collaboration: Each intern will be paired with at least one full-time researcher as a mentor and will also work closely with the research director for guidance and collaboration. * Exposure to Real-World Quantitative AI: Experience firsthand how advanced AI techniques shape algorithmic trading in one of the world’s most technologically sophisticated firms. This is an exclusive opportunity for students who excel in research-driven environments and are eager to make a meaningful impact in a field still rich with untapped potential in the GenAI era. Our environment is designed for innovation with a flat organizational structure, a friendly and collaborative culture, and an absence of red tape, allowing you to focus on advancing the field of machine learning in finance. You will work from our NY office at least 4 days per week.   Responsibilities  * Engage in pioneering research to devise original machine learning algorithms, with the autonomy to investigate and apply novel methods. * Utilize a broad knowledge base across deep learning, natural language processing, time series analysis, control and optimization, reinforcement learning, among others. * Architect, build, and refine models, agents, and software prototypes with a focus on robustness and generality. * Clearly communicate research progress and findings, ensuring efficient internal knowledge transfer both verbally and in writing. * Foster teamwork and collaborate with XTX Markets’ quantitative research team, contributing to a collective effort of fewer than twenty experienced researchers. The program offers an unparalleled opportunity to work within a rich computational environment, equipped with an impressive array of resources. Interns will immerse themselves in a culture that promotes collaboration, innovation, and a flat hierarchy. The program is designed to bring together a wide range of backgrounds and interests, not only those who are already set on a career in finance.   Essential Attributes * Pursuing an advanced degree. ideally Ph.D., in computer science, electrical engineering, mathematics, or a related quantitative field, with at least one year remaining before your expected graduation date. * Strong evidence of ability to conduct original research. That shall include a proven publication record in leading machine learning and AI venues (we do not count publication numbers) * Demonstrated practical experience and deep understanding of modern deep learning architectures, in particular transformers and its variants. * Solid knowledge in fundamental data science, optimization, and statistics * Solid programming skills (language does not matter; Python is fine) * No prior experience in finance is needed.   Desirable Attributes * Proven expertise in developing and working with foundational models, including but not limited to large language models and multi-modal frameworks. * A background in managing and analyzing large, unstructured, and noisy datasets. * Hands-on knowledge of time series forecasting.   Compensation  The base salary for the AI Research Internship role will be $35,000 per month. You will enjoy similar benefits to those of our US permanent employees as appropriate and receive a generous sign-on bonus to be used for covering accommodation costs.   Interview Format   We plan to keep our internship cohort small, with a highly selective application process. Our interview process seeks to gain signal in the following topics: * Your Research Experience * Modern machine learning techniques, especially deep learning * Classical machine learning techniques * General mathematics (linear algebra, analysis, probability etc.) * Hands-on programming and data engineering We seek to get a broad signal in our process. Successful candidates are those who are strong in all areas and exceed expectations in at least one.   Your interview process will follow a four-stage format: * An introductory conversation with the recruitment team.  * A practical take-home exercise, where you are provided with a dataset to construct and develop an AI model comprehensively from start to finish. * A discussion with the Research Director to delve into your research history, knowledge in deep learning/machine learning, compatibility with XTY's goals, and to gauge your innovative thought processes. * A final 1-hour interview with either an XTX Quantitative Researcher or XTY full-time Researcher.

Datacenter Operations

XTX Markets

The Firm  XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.  We leverage the talent of our team, modern computational techniques, and state-of-the-art research infrastructure to analyze large data sets across markets quickly and efficiently, maximizing the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.  XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale datacenter in Finland to future-proof its significant computational capabilities.  At XTX Markets, technology is our business, and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.    The Role   We are establishing a Datacenter Operations function in New York and are seeking an experienced datacenter engineer ideally with a background in networking and/or systems administration, and proven low-latency trading infrastructure experience, to help run the physical layer of XTX’s datacenter infrastructure.   The role combines hands-on physical datacenter work including server racking, cabling, power management, component integration, supporting network deployment, Americas colocation project management in close collaboration with the Trading Development and Procurement teams.   The position is based in our New York office but will require occasional travel to datacenters predominantly based in Americas.      Responsibilities   * You will lead and execute deployment of physical infrastructure in Americas datacenters primarily, and support datacenter operations activities globally.  * You will supervise and execute large projects (e.g., colocation setup and expansions, moving large amounts of equipment between sites) and maintain our datacenters (e.g., replacing failed components).  * You will be responsible for installing and maintaining a well-ordered datacenter infrastructure (e.g., designing, installing, and maintaining labelled, structured cabling, or power, space and cooling capacity monitoring and expansion).  * You will perform server integration work (e.g., fitting PCIe cards, NICs, etc into servers), hardware refreshes and failed component replacements.  * You will coordinate with third parties regarding infrastructure support.  * Produce and maintain operational runbooks, install guides, test plans and post-change verification; review and approve changes.  * Assist with inventory and logistics tasks as needed to support deployments (secondary responsibility, not a primary focus).    Essential Attributes  * 5+ years working in datacenters or infrastructure operations.  * Hands-on experience with switches/routers and low-latency network design (experience with Cisco, Mellanox, and Arista preferred).  * Proven experience building/operating low-latency trading infrastructure and Americas colocation projects  * Network routing knowledge: BGP, OSPF and multicast routing (implementation and troubleshooting).  * Comfortable working inside servers: component installs, PCIe cards, firmware updates, and hardware diagnostics (experience with Dell servers a plus).  * Hands-on experience with fibre optics, transceivers (SFP/SFP+/QSFP/DWDM) and optical networking fundamentals.  * Strong change management, documentation and verification discipline.  * Excellent communication skills for vendor coordination, exchange/Broker integration and remote-hands instruction.  * Due to the nature of our trading activities, some work will necessarily need to take place at weekends. As such, flexibility to work weekends (with time off in lieu provided) or a willingness to work an alternative schedule, such as Tuesday through Saturday, would be required.    Compensation The base salary range for this role is between $150,000 to $225,000 depending on relevant job-related skills and experience. You will be eligible for participation in a discretionary annual performance bonus scheme and will enjoy a comprehensive package of benefits. All bonuses, benefits, and any sign-on payments are in addition to the base salary range stated.