Jane Street

Jane Street is seeking a Machine Learning Researcher to work on projects combining novel ML ideas with systematic trading strategies. The role involves end-to-end studies, exploring new modeling paradigms, and applying state-of-the-art techniques to challenging problems in finance, utilizing large-scale data and computing resources. The position is for a PhD student or postdoc with empirical ML research experience, strong logical and mathematical thinking, and Python implementation skills.

Machine Learning Researcher to build deep learning models for trading strategies, leveraging large-scale GPU clusters and novel techniques to address challenges in nonstationary datasets and multi-agent environments. The role involves training next-generation models, understanding new markets, and contributing to hiring and knowledge sharing.

Machine Learning Researcher at Jane Street to build deep learning models for trading strategies, leveraging large-scale GPU clusters and tackling challenges like large models, nonstationary datasets, and multi-agent environments. The role involves training next-generation models, developing fundamental understanding for new markets, and contributing to hiring and knowledge sharing.

Machine Learning Researcher to build deep learning models for trading strategies, supported by a large GPU cluster. The role involves tackling challenges like large models, nonstationary datasets, and multi-agent environments, requiring novel techniques. Researchers collaborate closely with engineers and traders, diving into market data, hyperparameter tuning, distributed training, and model behavior in production. The position requires in-depth knowledge of ML, including LLMs, image models, RL agents, recommendation systems, and classical ML, to shape the future of ML at Jane Street. Responsibilities include training next-generation models, building fundamental understanding for new markets, hiring, attending conferences, and teaching teammates.

Machine Learning Performance Engineer role focused on optimizing the performance of ML models for both training and inference. Requires deep low-level systems programming and GPU knowledge, debugging skills, and experience with ML libraries and distributed training.

Machine Learning Researcher to build deep learning models for trading strategies, supported by a large GPU cluster. The role involves training models, architecting systems, and studying model behavior in production, with a focus on novel techniques for challenges like large models, nonstationary datasets, and multi-agent environments. Responsibilities include hiring, attending conferences, and teaching.

Machine Learning Researcher to build deep learning models for trading strategies, leveraging a large GPU cluster and tackling challenges like large models, nonstationary datasets, and multi-agent environments. The role involves training models, architecting systems, and researching novel techniques across various ML domains (LLMs, image models, RL agents, recommendation systems, classical ML). Responsibilities include training next-gen models, building fundamental understanding, hiring, attending conferences, and teaching teammates.

Research role focused on building deep learning models for trading strategies, leveraging a large GPU cluster. The role involves training models, architecting systems, and understanding market data in a competitive multi-agent environment, pushing for novel techniques across various ML domains like LLMs, image models, RL agents, and recommendation systems.

Seeking an engineer with low-level systems programming and optimization experience to join the ML team, focusing on optimizing the performance of ML models for both training and inference in a real-time trading environment. This role requires a deep understanding of GPU architecture, networking, and distributed systems to ensure efficient large-scale training and low-latency, high-throughput inference.

Machine Learning Performance Engineer at Jane Street, focusing on optimizing the performance of ML models for both training and inference. This role requires deep expertise in low-level systems programming, GPU optimization, and a whole-systems approach to performance, including storage and networking, within a high-frequency trading environment.

Research role focused on applied research in weather prediction, embedded within a commodities trading desk. Requires strong programming skills (Python), expertise in atmospheric science topics, and experience with AI models. The role involves challenging the limits of atmospheric predictability and exploring new research directions.

Applied research role on a weather team, embedded within a commodities trading desk, focusing on atmospheric predictability challenges. Requires strong Python programming and expertise in atmospheric science topics, with AI model experience preferred.

Quantitative Researcher role at Jane Street focusing on identifying market signals, analyzing data, building and testing models, and creating trading strategies. The role involves close collaboration with experienced researchers, working with large datasets and GPU clusters, and applying various statistical and ML techniques. Interns will work on projects, learn about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets, complemented by classes on markets and trading.

Jane Street is seeking Quantitative Researchers to build models and systems for pricing and trading financial instruments. The role involves working with large datasets and advanced computing infrastructure, applying various statistical and ML techniques, and collaborating closely with engineers and traders. The focus is on developing actionable strategies based on data analysis and model building.

Quantitative Researchers at Jane Street build models, strategies, and systems for pricing and trading financial instruments. The role involves working with experienced researchers on experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Researchers collaborate closely with engineers and traders, utilizing large-scale data and computing resources. The role is open to various ML techniques, from linear models to deep learning, and emphasizes curiosity, logical thinking, strong programming skills (Python), and collaboration.

Quantitative Researchers at Jane Street build models, strategies, and systems for pricing and trading financial instruments. The role involves working with large datasets and advanced computing infrastructure, applying various statistical and ML techniques, and collaborating closely with engineers and traders. Success requires a curious, logical, and programming-proficient individual who can adapt findings into actionable strategies.

Jane Street is seeking an experienced Machine Learning Educator to develop and maintain their ML educational programs. This role involves teaching general ML, AI assistants, internal training stacks, and performance reasoning. The educator will also write code for ML research, mentor other teachers, and develop curricula. Experience teaching ML in a university or industry setting is required.

Quantitative Researchers at Jane Street build models, strategies, and systems for pricing and trading financial instruments. The role involves applying expertise in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets. Researchers collaborate with engineers and traders, working with large datasets and GPU clusters. The position is open to various statistical and machine learning techniques, including deep learning, and requires strong programming skills in Python and a curious, collaborative mindset.

Machine Learning Engineer at Jane Street to drive the direction of their ML platform, focusing on building and maintaining training and inference infrastructure, enhancing research workflows, and applying ML to financial trading. Requires strong mathematical foundations and experience with ML frameworks.

Jane Street is seeking a Machine Learning Engineer to join their ML team and drive the direction of their ML platform. The role involves building and maintaining training and inference infrastructure, enhancing research workflows, and applying ML to financial trading. Requires a strong mathematical background and expertise in ML frameworks.

Jane Street is seeking a Machine Learning Engineer with a strong mathematical background to join their ML team and drive the direction of their ML platform. The role involves applying various ML techniques to aid decision-making in their trading environment, enhancing research workflows, and building/maintaining training and inference infrastructure to move concepts to production.

Quantitative Researchers at Jane Street build models, strategies, and systems for pricing and trading financial instruments. The role involves applying expertise in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets. Researchers collaborate closely with engineers and traders, working with large datasets and GPU clusters. The role is open to various statistical and machine learning techniques, emphasizing curiosity, problem-solving, and adaptability.

Jane Street is seeking Quantitative Researchers to build models, strategies, and systems for pricing and trading financial instruments. The role involves applying expertise in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets. Researchers will collaborate with engineers and traders, working with large datasets and a significant GPU cluster. The position is open to various statistical and machine learning techniques, emphasizing curiosity and the ability to integrate findings into actionable trading strategies.

This role involves quantitative trading, focusing on analyzing market signals, developing predictive models, and constructing quantitative strategies using statistical and ML techniques. It emphasizes learning and applying these methods to financial data, with opportunities to build tools and answer complex questions.

Quantitative traders at Jane Street identify market signals, analyze strategies, build quantitative and algorithmic trading systems, manage risk, and develop new businesses. They use a wide range of statistical and ML techniques, from linear models to deep learning, on large datasets and computing clusters.

Seeking an experienced Data Center Mechanical Engineer to manage cooling infrastructure for high-density AI workloads, supporting trading operations. This role involves designing, implementing, and monitoring power and cooling systems, bridging theoretical design with practical compute needs, and collaborating with ML researchers and engineers. Requires deep understanding of data center infrastructure from power distribution to chip level, with a focus on GPU/HPC systems.

Senior Network Engineer to scale networks, drive standardization through automation, and explore AI/ML for operational improvements in a multi-vendor, highly available network infrastructure handling high-speed trading and internet connectivity.

Software Engineer role at Jane Street, a quantitative trading firm. The role involves using technology across various business areas, with a focus on functional programming (OCaml) and increasing use of Python for data analysis, visualization, and machine learning. The company values open-source contributions and offers training in necessary technologies.

Software Engineer role at Jane Street, a trading firm that uses technology at the core of its business. The role involves working with OCaml and Python, with Python being used for data analysis, visualization, and machine learning. The company values open source and collaboration.

Senior Network Engineer to scale networks, drive standardization through automation, and explore AI/ML for operational improvements. Responsibilities include data center initiatives, WAN optimization, stakeholder interfacing, leading support and improvements, and documenting solutions. The role involves a passion for innovation, building scalable systems, and curiosity about AI in network operations.

This role focuses on network analysis and support, with an emphasis on building automation and DevOps-driven solutions. The analyst will enhance existing workflows, streamline processes, and ensure network stability, security, and adaptability. Key responsibilities include diagnosing and resolving network issues, supporting site expansions, maintaining monitoring systems, and using scripting/development tools for automation and AI integration.

Senior Network Engineer to scale networks, drive standardization through automation, and explore AI/ML for operational improvements in a multi-vendor, highly available network infrastructure handling high-speed trading and internet connectivity.

Senior Network Engineer to scale networks, drive standardization through automation, and explore AI/ML for operational improvements in a multi-vendor, highly available network infrastructure supporting distributed systems and high-speed trading.

Oversee the operation and implementation of an automated trade surveillance program, manage the team, and partner with Legal and Compliance. Responsibilities include analyzing trade surveillance alerts, working with developers on implementation, ensuring adherence to policies, and coordinating with international offices.

Jane Street is seeking a Financial Reporting Accountant to support their global accounting function. This role involves assisting with the month-end close process, preparing and maintaining internal books and records, and creating accounting reconciliations and financial schedules. The position also requires collaboration with outside auditors and advisers. The ideal candidate is a detail-oriented, organized, and self-starting individual with a strong understanding of US GAAP and excellent communication skills.

Jane Street is seeking an ASIC Physical Design Engineer for their Ultra Low Latency team. This role involves designing, testing, and deploying advanced hardware, with a focus on owning the physical design flow end-to-end while also having the ability to read/write RTL and understand front-end/back-end design interactions. The ideal candidate has 8+ years of experience in modern physical design flows and is interested in leveraging software engineering techniques and better tools to improve the hardware design process.

Video Editor (1 Month Fixed-Term) to join a creative team, editing a 3-4 minute promo/documentary-style video, working from a paper cut to shape narrative, build musical arc, and construct b-roll sequences. Will also cut interview footage snippets for other formats during revision waiting periods. Proficiency in Premiere Pro or DaVinci Resolve required.

Experienced Campus Recruiter needed to manage pipelines, source candidates, facilitate interviews, and contribute fresh ideas to recruiting strategies for internship and in-house programs. Requires 8+ years of university recruiting experience, a creative and proactive approach, and strong organizational and communication skills.

Campus Recruiting Coordinator to join the Campus Recruiting team, responsible for identifying, interviewing, and hiring interns and new graduates for Technology teams. The role involves managing the candidate experience, updating the applicant tracking system, scheduling interviews, coordinating live interviews, and assisting in the planning and execution of the internship program. Requires strong organizational and administrative skills, attention to detail, and a collaborative, eager-to-learn attitude.

Jane Street is seeking an experienced Alpha Capture Specialist to manage relationships with external partners, onboard new ones, and deepen existing ones. The role involves collaborating with internal teams, sharing context, and contributing ideas to the Alpha Capture team's approach. The specialist will use industry knowledge to engage with partners, advocate for the firm's approach, and help build it over time. The role requires a deep understanding of financial markets, strong quantitative skills, and the ability to manage a portfolio of external relationships.

Cybersecurity Engineer role focused on firm-wide defenses, providing expertise, leading awareness efforts, and handling incident response. Requires strong technical foundation, automation skills, threat modeling understanding, and good personal cybersecurity hygiene.

HR Generalist role supporting employees in Singapore, acting as the first point of contact for HR queries, advising on policies, assisting with benefits, and maintaining HR databases. The role involves working autonomously on day-to-day issues while collaborating with the regional team, and assisting with HR projects and operational improvements.

Cybersecurity Engineer role focused on protecting company infrastructure, data, and people. Responsibilities include firm-wide defenses, providing expertise, leading awareness efforts, and handling event analysis and incident response. Requires strong technical foundation, automation skills, threat modeling understanding, and awareness of cybersecurity developments.

Cybersecurity Engineer to protect company's people, data, and infrastructure. Responsibilities include firm-wide defenses, providing expertise, leading employee awareness efforts, and handling event analysis and incident response.

Jane Street is seeking a Strategy and Operations Specialist to support their Technology team. This role involves leading cross-team projects, managing workstreams, improving processes, and fostering team culture. The ideal candidate will have strong problem-solving, communication, and organizational skills, with experience in operations, program management, or consulting.

Cybersecurity Engineer to protect company's people, data, and infrastructure. Responsibilities include firm-wide defenses, providing expertise, leading employee awareness efforts, and handling event analysis and incident response.

Jane Street is hiring an ASIC Physical Design Engineer to join their Ultra Low Latency team. This role involves designing, testing, and deploying advanced hardware, with an emphasis on owning the physical design flow end-to-end while also having the ability to read/write RTL and understand cross-functional design decisions. The team utilizes Hardcaml, a hardware development toolchain embedded in OCaml, and seeks engineers interested in improving hardware design processes with software engineering techniques.

Logistics Coordinator role focused on managing equipment inventory, delivery, installation, and deployment for offices, data centers, and co-locations, with responsibilities including logistics planning, call-off process management, installation coordination, inventory level management, asset transfers, customs broking, and process improvements. Requires 5+ years of experience in logistics and project management, preferably in IT or data center environments, with strong communication and problem-solving skills.

Commodity trader with 3+ years of experience in commodity trading options (gas, power or oil preferred) to manage commodity delta one and options book, run systematic and discretionary strategies, and partner with sell-side counterparts.

This role is for a Trading Desk Coordinator at Jane Street, a financial services firm. The coordinator will support trading desks by managing office operations, logistics, integrating new hires, coordinating social events, organizing learning and development classes, and managing desk relocations. The role requires strong organizational skills, proactivity, and a hospitality mindset.