System Engineer

Join Hudson River Trading (HRT) as a Systems Engineer within our dynamic Research & Development team. We are at the forefront of technology, building and maintaining expansive distributed compute clusters and multi-petabyte storage solutions. Our facilities boast GPU and CPU compute clusters that surpass those of many national laboratories, and we are developing our own on-premises data centers globally. Our teams are dedicated to optimizing computing, networking, storage, and power usage for unparalleled performance. Our people and our computational resources are our greatest assets, and we are committed to investing in both.As a full-time Systems Engineer, you will play a pivotal role in projects that ensure our live trading and research operations run seamlessly around the clock, globally. Your responsibilities will vary from maintaining our high-performance computing (HPC) environment to designing and implementing services that enhance our research capabilities. Duties will include hardware and software installation, configuration, remote administration, monitoring, testing new technologies, developing automation tools, and performance tuning.

Hudson River Trading (HRT) is seeking a talented Senior GPU Systems Engineer to join our dynamic Research and Development team. In this pivotal role, you will play a crucial part in scaling and advancing our sophisticated HPC/AI research infrastructure. Collaborating with a diverse team of experts, you will ensure our trading and research operations run seamlessly 24/7 across the globe. Your responsibilities will include the design and optimization of extensive GPU compute clusters, identifying and resolving performance bottlenecks, and automating system deployment and monitoring across thousands of nodes. This is a high-impact opportunity that requires innovative thinking and technical expertise in a fast-paced environment.

Join Mustard Systems, where we harness the power of statistical modeling to analyze sports events, enabling accurate predictions of future outcomes. By leveraging our proprietary datasets, sophisticated statistical models, and custom software solutions, we aim to deliver precise forecasts in the world of sports.We prioritize speed and real-world impact over perfection in code. If you are an engineer who excels at rapid problem-solving and thrives in a flexible, outcome-oriented environment, you'll find a home with us.Your Role:Enhance our connections to new liquidity providers using advanced web scraping and reverse engineering techniques.Create and maintain low-latency, real-time data feeds to support trading strategies based on extracted data.Improve system visibility for teams to gain insights into integration challenges and enhancements.Our agile methodology allows us to adapt plans as new information and opportunities arise. Developers play a pivotal role, taking complete ownership of their software from design through development, testing, review, and production support.Key Responsibilities:Design and Implement Impactful Features: Develop features that align with our business objectives, ensuring high-quality code that delivers measurable value.Collaborate on Code Quality: Review and test peer code to uphold functionality, maintainability, performance, and quality standards.Production Support: Take charge of your team’s software in production, ensuring stability and prompt resolution of any issues.Cross-Team Collaboration: Partner with other development teams on cross-functional projects, working alongside traders and quants to devise the best solutions to real business challenges.Participate in Out-of-Hours Support for our Software Systems.Core Technology Stack:Languages: Python (3.10+), JavaScript/TypeScript for frontend tasks, and Go for select infrastructure.Tools: RabbitMQ and Kafka for messaging, PostgreSQL and Redis for data storage.Environment: Linux servers.Observability: OpenTelemetry, Prometheus, Grafana, and Zabbix.Required Qualifications:Solid experience in software development, particularly with Python.A degree in Computer Science or a related quantitative field from a recognized university.Excellent communication skills, enabling you to explain complex technical concepts to both technical and non-technical audiences.Strong decision-making skills, with an ability to make informed trade-offs in implementation and architectural decisions, balancing innovation with practicality.Experience with web scraping and related technologies is essential.

Join Hudson River Trading (HRT), a leader in quantitative trading, where innovation meets technology. We design and implement state-of-the-art systems in one of the most sophisticated computing environments in the world, driving our global trading operations. In our collaborative and non-siloed coding culture, talented engineers can make meaningful contributions and witness their impact on a daily basis. At HRT, you will tackle complex trading challenges alongside some of the brightest minds in the industry.We are on the lookout for highly motivated and skilled Research Engineers to collaborate closely with our Algorithm Development (Quant Research) teams. This role demands exceptional programming skills, a strong user-centric approach, and the ability to adapt in a dynamic environment with ever-changing requirements. You will engage in multitasking and context switching, gaining insights into the conception and execution of some of the most advanced trading strategies globally.As a Research Engineer, you will contribute to diverse projects, including:Creating tailored quantitative systems that empower Algo Developers to easily articulate and backtest innovative predictive signals.Developing top-tier research tools to accelerate Algo Developers’ research cycles.Supporting the development and deployment of expansive deep learning models for HRT’s live trading operations.Enhancing HRT’s monetization systems that translate our predictions into profitable trades.Assessing simulation versus live performance discrepancies to refine the accuracy of our simulations.Designing systems for monitoring and managing live trading environments.Focusing on specific time horizons, ranging from high-frequency trading to mid-to-low frequency hedge fund strategies.Engaging with a wide array of asset classes across global markets, including equities, fixed income, and options.

About the RoleJoin Woozle Research as an Associate Director in our dynamic London or Glasgow office. This pivotal leadership role is designed for seasoned professionals eager to influence high-caliber primary research utilized by leading hedge funds, private equity firms, and consultancies worldwide.Your key responsibilities include leading a team of Analysts and Associates, ensuring our deliverables consistently surpass client expectations, and nurturing lasting partnerships with investors and decision-makers.If you are passionate about guiding teams, enhancing client relationships, and delivering impactful market insights, we want to hear from you!

aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.

About AnthropicAt Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create advanced AI systems that serve humanity well.As a leader in AI research, Anthropic is committed to developing ethical, powerful artificial intelligence. We aim to align transformative AI systems with human values. We invite you to join our Pretraining team as a Research Engineer, where you will be instrumental in creating the next generation of large language models. This role allows you to operate at the crossroads of cutting-edge research and practical engineering, playing a key part in building safe, steerable, and trustworthy AI systems.Key Responsibilities:Conduct innovative research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.Independently lead small-scale research projects while partnering with colleagues on larger initiatives.Design, execute, and analyze scientific experiments to deepen our understanding of large language models.Enhance and scale our training infrastructure to boost efficiency and reliability.Develop and refine development tools to improve team productivity.Contribute across the entire stack, from low-level optimizations to high-level model design.

Marie Curie seeks an Associate Director of Internal Research Development based in London. This position shapes research initiatives that have a direct impact on patient care throughout the organization. Key responsibilities Oversee internal research development projects from initial concept through to completion Lead and coordinate teams from different departments, ensuring research efforts align with patient care priorities Use strategic thinking to move the organization’s research agenda forward Requirements Proven experience leading research projects in a collaborative and multidisciplinary environment Strong skills in strategic planning and project leadership Genuine interest in research focused on improving patient outcomes

Join Longshot Systems, where we are at the forefront of developing sophisticated platforms for sports betting analytics and trading.We are in search of talented Machine Learning Researchers to join our quantitative modeling team. This team’s primary objective is to enhance the predictive capabilities of our models using historical event and market data. The quality of our models is paramount, as improvements directly influence our company’s success.In this role, you will design, test, and implement innovative machine learning models using Python, continuously enhancing our existing state-of-the-art solutions. As a small, focused company, we offer you the chance to be involved in every aspect of the R&D process, from high-level design to production implementation.The ideal candidate will possess high creativity and enjoy developing new, innovative approaches to problem-solving, and will have the autonomy to explore the most suitable methods for the challenges at hand. A strong mathematical foundation in machine learning and core statistics is essential. While knowledge of sports betting is not required, experience with modeling sports — particularly in-play football, basketball, or tennis — is advantageous.We embrace a hybrid working model, requiring in-office presence on Thursdays at our London (Farringdon) office, while allowing flexibility for the remainder of the week. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, with support for flexible schedules to help our team achieve their goals.Our interview process includes:Introductory call (30 mins) - discussing your background and interestsTechnical interview (60 mins) - focusing on modeling questions and a coding exerciseFull assessment day (10:30 am – 5 pm) - encompassing a comprehensive modeling exercise and team interactions

Join Longshot Systems, where we are pioneering cutting-edge platforms for sports betting analytics and trading.We are looking for enthusiastic Graduate Machine Learning Researchers to become integral members of our quantitative modeling team. This team is dedicated to enhancing the predictive capabilities of our models using historical event data, as the excellence of our models is crucial to our company’s success.In this role, you will be responsible for designing, testing, and implementing innovative machine learning models in Python while continuously refining our existing top-tier solutions. As a small, focused company, Longshot offers you the opportunity to engage deeply in all facets of the R&D process, from high-level design to production implementation, while also learning from experienced industry professionals.The ideal candidate will possess a creative mindset and thrive in generating novel approaches to problem-solving. You will have the autonomy to explore and research the most suitable methods for the challenges presented. A solid mathematical foundation in Machine Learning principles and core statistics is essential, though prior knowledge of sports betting is not a requirement.We embrace a hybrid working model, with in-office work on Thursdays at our London (Farringdon) location and remote work for the remainder of the week. Our regular working hours are from 10 AM to 6 PM UK time, Monday to Friday, with a strong emphasis on flexible working to empower our team to achieve their objectives.Our interview process consists of the following steps:Introductory call (30 mins) - Discuss your background and interestsTechnical interview (60 mins) - Engage in modeling discussions and scenario-based questionsFull assessment day (9:30 AM–5 PM) - Tackle a real modeling challenge utilizing near-production dataQualifications A PhD or research Master’s degree in a quantitative, technical discipline (e.g., Mathematics, Physics, Machine Learning) from a reputable university Proficiency in modeling tabular data using Python Benefits Participation in an uncapped company bonus scheme, typically ranging from 10-20% of salary based on experience 10% matched pension contributions Private healthcare coverage Long-term illness insurance Gym membership Choice of hardware and setup for your development environment

Lightning AI builds tools that help researchers and organizations bring AI projects from idea to production. Known for PyTorch Lightning, the team focuses on making it easier to develop, train, and deploy AI systems. Since merging with Voltage Park, Lightning AI combines developer-focused software with scalable compute resources. The platform supports experimentation, training, and production inference, while emphasizing security and control. Offices are located in London, New York City, San Francisco, and Seattle. Investors include Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. Values Move Fast: Break big challenges into achievable tasks and act quickly. Focus: Work as one team to deliver well-crafted features, concentrating on a single goal at a time. Balance: Support healthy work habits and value rest for long-term results. Craftsmanship: Aim for excellence and innovation, paying close attention to detail. Minimal: Keep solutions simple and disciplined, avoiding unnecessary complexity. Role overview This hybrid Research Engineer position is based in London. The role centers on optimizing training and inference workloads on compute accelerators and clusters, with a focus on the Lightning Thunder compiler and the PyTorch Lightning ecosystem. Work will blend deep learning research, compiler development, and large-scale system optimization. The Research Engineer will help build foundational software that improves model performance and efficiency, shaping the future of machine learning infrastructure. This position reports directly to the Tech Lead and is part of the Engineering Team. Flexible work options are available.

About Lightning AIFounded in 2019, Lightning AI is the driving force behind PyTorch Lightning. We create a comprehensive platform for the development, training, and deployment of AI systems, streamlining the journey from innovative research to impactful production.Our merger with Voltage Park, a neocloud and AI factory, enhances our offerings by integrating developer-centric software with efficient, large-scale computing resources. We provide teams with essential tools for experimentation, training, and production inference, ensuring security, observability, and control are integral to our solutions.We cater to individual researchers, startups, and established enterprises, with a global presence including offices in New York City, San Francisco, Seattle, and London. Lightning AI is supported by esteemed investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We prioritize speed and precision, deconstructing complex challenges into manageable tasks.Focus: We tackle one objective at a time with care, working collaboratively to deliver features accurately.Balance: We believe in maintaining a healthy work-life balance, promoting sustained performance through rest and recovery.Craftsmanship: We strive for excellence and take pride in the details that contribute to our innovation.Minimal: We embrace simplicity in our innovations, focusing on what truly matters.Role OverviewWe are looking for an accomplished Research Engineer to enhance the optimization of training and inference workloads using compute accelerators and clusters, particularly through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem. This role exists at the intersection of deep learning research, compiler development, and large-scale system optimization. You will be instrumental in advancing technology that enhances model performance and efficiency, establishing essential software that will influence the entire machine learning landscape.As part of the Engineering Team, you will report to our Tech Lead. This hybrid role is based in our offices located in New York City, San Francisco, or London.

Join our team as an Imaging Research and Development Associate on a one-year contract basis. In this pivotal role, you will provide invaluable support to our Clinical Project Management, Data Management, and Medical Leadership teams by delivering expert medical, scientific, and operational guidance for our Central Image Management Solution (CIMS) clinical trials. You will serve as a key point of contact, addressing issues related to central reading alongside both internal and external project teams. Your collaboration with stakeholders will involve document development, central reader training, quality monitoring, and analysis of image services and product offerings for CIMS clinical trials. Contribute to our department and the broader company in achieving strategic goals and objectives.

Join Arondite as a Deployed Systems Engineer, where you will play a pivotal role in the deployment and management of advanced systems solutions. This position offers an exciting opportunity for technical professionals to showcase their expertise in a dynamic environment.

Application Deadline: We are actively conducting interviews and aim to onboard the right candidate promptly.ABOUT THE ROLEAt Apollo Research, we are embarking on an ambitious journey to establish a groundbreaking field known as the “Science of Scheming.” We are seeking passionate Research Scientists and Engineers eager to contribute to the creation of a new hard science from the ground up.YOUR RESPONSIBILITIES- Collaborate with leading AI innovators. Our partnerships with various labs provide access to an extensive range of models that no single AI lab can offer. Your contributions will significantly influence the development and deployment of advanced AI systems.- Conduct in-depth studies of reinforcement learning dynamics that drive the emergence of reward-seeking behaviors, evaluation awareness, and misaligned preferences. Design and train model organisms, scaling insights to cutting-edge systems.- Explore the “Scaling Laws of Scheming.” Establish empirical foundations to forecast how scheming risks evolve as models increase in capability.- Innovate evaluation techniques that can potentially scale to highly evaluation-aware models.- Investigate AI cognition. Uncover unique patterns in the reasoning processes of advanced AI systems that have yet to be documented.Note: This position does not focus on interpretability roles.KEY REQUIREMENTSWe seek a diverse set of skills to advance our research agenda. We do not expect any single candidate to meet all the criteria listed below. However, a successful candidate will likely excel in one or several of the following areas:- Fast-paced empirical research: Ability to design and execute experiments with a focus on accelerating iteration cycles.

Join the Vanguard of InnovationAt Palantir, we are at the forefront of developing advanced software for data-driven decision-making and operational excellence. Our platforms empower organizations to harness data for transformative outcomes—be it in developing lifesaving pharmaceuticals, anticipating supply chain disruptions, or locating missing persons.Your ContributionAs a Systems Engineer within Palantir’s Technical Operations team, you will play a pivotal role in optimizing our core business processes and workflows. Your responsibilities will encompass designing, constructing, and sustaining the infrastructure that underpins our vital business functions, including financial reporting, sales operations, and personnel management. Collaborating with both internal teams and external partners, you will adapt industry tools to meet the dynamic needs of Palantir, while enhancing our utilization of Palantir Foundry and AIP for internal projects.In this capacity, you will provide strategic technical guidance to key stakeholders. A typical day may involve assessing new technological solutions, aligning tech initiatives with business objectives, resolving high-priority system challenges, and engaging in cross-functional collaboration to drive system enhancements. Success in this role requires adeptness in managing multiple business systems while demonstrating flexibility and adaptability to evolving requirements and challenges.

Join Ansatz Capital as a Research Engineer, where you will engage in the innovative research, testing, and deployment of cutting-edge trading strategies. You will also play a critical role in designing and constructing the research infrastructure that enables the evaluation of various trading concepts.We seek candidates who are deeply passionate about strategy development, with a strong aptitude for quantitative problem-solving and a keen interest in uncovering and capitalizing on statistical patterns within the financial markets. Proficiency in Python is essential, as you will be responsible for implementing your insights effectively.Ideal candidates will possess robust software implementation skills and have a track record of developing high-performance code alongside user-friendly tools. Your ability to deliver functional software solutions rapidly and accurately will significantly enhance our quantitative research capabilities and broaden our trading strategy coverage.Our compensation package includes a competitive base salary, a discretionary performance bonus, and opportunities for participation in long-term incentive schemes.

We are seeking a skilled and motivated Quantitative Research Engineer to enhance our data and research platforms. In this pivotal role, you will work closely with our quantitative researchers, employing your engineering and data science expertise to create innovative tools and methodologies that boost research productivity. Your contributions will help optimize the research process, refine data analysis capabilities, and drive overall efficiencies in research efforts. This position demands a robust technical foundation, exceptional problem-solving abilities, and a collaborative spirit to work effectively with cross-functional teams. Key Responsibilities:Partner with quantitative researchers to identify workflow challenges and develop technical solutions that enhance research productivity.Design, develop, and maintain software tools and frameworks that improve the efficiency of research tasks, including data collection, preprocessing, and analysis.Implement advanced data processing algorithms and statistical methods to streamline research workflows and enhance analytical capabilities.Utilize your expertise in software engineering and machine learning to construct scalable systems for large-scale data analysis and experimentation.Conduct code reviews and mentor junior research engineers, ensuring high code quality and adherence to best practices.Collaborate with diverse teams to integrate research tools into existing infrastructures.Evaluate and implement third-party tools and libraries to optimize the research process.Engage in research discussions, providing technical insights to improve methodologies and strategies.Assist in creating documentation, user guides, and training materials for research tools and processes.

About the Position Join our dynamic Tools and Compilers group at Jane Street as a research intern! We are seeking exceptional PhD and master's students who possess remarkable research experience in programming languages, compilers, verification, and related fields. At Jane Street, our Compilers team is dedicated to enhancing OCaml, a critical component of our expanding technology stack, in collaboration with the broader OCaml community. Our focus spans various facets of the compiler, with the goal of simplifying the process for developers to articulate their ideas in OCaml, boosting the performance of generated code, and optimizing the OCaml compiler itself for improved speed and usability. Over the years, we have enriched the type system, introduced innovative language features, and re-engineered the optimizer from the ground up, incorporating feedback-directed optimization. Additionally, we work on enhancing the surrounding toolchain, developing tools for profiling, debugging, documentation, and build automation. Much of our work is open-source, and we strive to contribute to the mainstream OCaml compiler as much as possible. During the application process, we will collaborate with you to identify a project that resonates with your research expertise and interests. Areas we are keen to explore include: Type systems that track locality and uniqueness Superoptimization Compiler testing and validation Throughout your internship, you will partner with mentors on a project for approximately 10-12 weeks. This experience will immerse you in our daily use of OCaml, providing exposure to the libraries and tools integral to our internal systems. You will gain insights into the diverse challenges we tackle every day and have the opportunity to apply cutting-edge research to an actively developed production codebase. Additionally, you will have access to our educational resources, attend guest speaker events, and participate in social gatherings, allowing you to experience what it's like to work at Jane Street full time.