Jane Street
Quant · Quantitative trading firm
Currently tracking 29 active AI roles, with 38 new openings in the last 4 weeks. Primary focus: Pretrain · Research.
Jane Street has 31 active AI-related job listings. The majority of these roles are focused on data (29%) and pre-training (26%), with a significant number also in serving infrastructure (23%). Research roles represent the largest functional area, with hiring concentrated in Hong Kong and the United States. Frequent tech tags include fine-tuning, model serving, and pretraining.
Quant · Quantitative trading firm
Jane Street currently has 35 active AI-related roles in our index. The most common open titles are: Quantitative Researcher (9), Machine Learning Researcher (8), Machine Learning Engineer (5), Quantitative Trader (4), Machine Learning Performance Engineer (3). Most positions are in Research and Engineering.
Jane Street's active AI hiring is concentrated in: data (34%), pre-training (26%), serving infrastructure (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Jane Street is hiring AI talent in: Hong Kong (12 roles), United States (11 roles), United Kingdom (11 roles), Singapore (1 role).
Job postings at Jane Street most frequently mention: Machine Learning, Statistics, GPU Computing, Distributed Training, Python.
In the past 30 days, Jane Street has posted 6 new AI-related roles. That is a -25% change versus the prior 30 days (8 → 6).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Researcher Research internship focused on applying novel ML ideas to systematic trading strategies, working with large models on nonstationary datasets in a competitive multi-agent environment. Involves end-to-end studies, new modeling paradigms, and blue-sky approaches. | Pretrain | 9 |
| ꓟachine ꓡearning ꓣesearcher Machine Learning Researcher internship focused on applying novel ML ideas to systematic trading strategies. Involves working with large datasets and models in a competitive multi-agent environment, with opportunities to explore new modeling paradigms and blue-sky approaches. The role blurs lines between research, technology, and trading. | PretrainPost-train | 9 |
| ꓟachine ꓡearning ꓣesearcher Machine Learning Researcher at Jane Street focusing on applying novel ML ideas to systematic trading strategies. The role involves working with large models and nonstationary datasets in a competitive multi-agent environment, requiring the development of new techniques. Access to petabytes of data and a large GPU cluster is provided. | Pretrain | 9 |
| Machine Learning Researcher Machine Learning Researcher at Jane Street to build deep learning models for trading strategies, supported by a large GPU cluster. The role involves training models, tuning hyperparameters, debugging distributed training, and researching novel techniques for challenges like large models, nonstationary datasets, and multi-agent environments. Researchers will shape the future of ML at Jane Street, train next-generation models, and contribute to hiring and teaching. | PretrainPost-train | 9 |
| Machine Learning Researcher Machine Learning Researcher to build deep learning models for trading strategies, leveraging a large GPU cluster. The role involves training models, architecting systems, and tackling challenges like large models, nonstationary datasets, and multi-agent environments. Researchers will shape the future of ML at Jane Street, train next-gen models, and contribute to hiring and teaching. | PretrainAgent | 9 |
| Machine Learning Researcher 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. | PretrainPost-train | 9 |
| Machine Learning Performance Engineer 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. | ServeData | 9 |
| Machine Learning Researcher 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. | PretrainPost-train | 9 |
| Machine Learning Researcher 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. | PretrainPost-train | 9 |
| Machine Learning Researcher 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. | PretrainAgent | 9 |
| Machine Learning Researcher Jane Street is seeking Machine Learning Researchers to build deep learning models for trading strategies, leveraging a large GPU cluster. The role involves training models, architecting systems, and running trading strategies in a competitive multi-agent environment with nonstationary datasets, requiring novel techniques. Researchers will shape the future of ML at Jane Street by training next-generation models and tackling new markets. | Post-trainAgent | 8 |
| Machine Learning Performance Engineer 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. | ServeData | 8 |
| Machine Learning Performance Engineer 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. | ServeData | 8 |
| Quantitative Researcher Jane Street is seeking Quantitative Researchers to 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. The ideal candidate is intellectually curious, a strong programmer, and comfortable with Python, with a focus on logical and mathematical problem-solving. | Post-train | 7 |
| Machine Learning Engineer Jane Street is seeking Machine Learning Engineers for their internship program. The role involves working on real-world ML projects, mentored by full-time employees, using a large GPU cluster. The focus is on ML experimentation and application to financial data, with opportunities to learn and collaborate. | Data | 7 |
| Quantitative Researcher Quantitative Researcher role at Jane Street focusing on identifying market signals, analyzing data, building and testing models, and creating trading strategies. The role involves applying various statistical and ML techniques, including deep learning, to financial datasets. Responsibilities include experiment design, dataset generation, time series analysis, feature engineering, and model building. The role emphasizes learning and collaboration within a research-heavy environment. | Data | 7 |
| Quantitative Trader This role focuses on quantitative trading, involving market signal identification, strategy analysis, model construction, and statistical analysis. It leverages ML techniques, including deep learning, on large datasets. The role involves analyzing data, training predictive models, simulating strategies, and developing production tools, with opportunities to specialize in ML, algorithmic trading, or strategy development. | Post-trainServe | 7 |
| Machine Learning Engineer Machine Learning Engineer intern position at Jane Street, focusing on ML experimentation and applying ML to financial data. The role involves working on real-world ML projects with mentorship and access to significant GPU resources. | Data | 7 |
| Quantitative Researcher Quantitative Researcher role at Jane Street focused on identifying market signals, analyzing data, building and testing models, and creating trading strategies. The role involves applying various statistical and ML techniques, including deep learning, to financial datasets, with a strong emphasis on experiment design, dataset generation, time series analysis, feature engineering, and model building. Access to large datasets and computing resources is provided. | Data | 7 |
| Quantitative Researcher 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. | Post-train | 7 |
| Quantitative Researcher 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. | Data | 7 |
| Quantitative Researcher 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. | Post-train | 7 |
| Machine Learning Educator 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. | Data | 7 |
| Quantitative Researcher 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. | Data | 7 |
| Machine Learning Engineer 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. | ServeData | 7 |
| Machine Learning Engineer 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. | ServeData | 7 |
| Machine Learning Engineer 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. | Serve | 7 |
| Quantitative Researcher 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. | Serve | 7 |
| Quantitative Trader Quantitative traders at Jane Street identify market signals, analyze and execute strategies, build quantitative models, conduct statistical analyses, build algorithmic trading systems, and manage risk. The role emphasizes a collaborative environment, access to significant data and computing resources, and the application of various statistical and ML techniques. While not strictly an AI-building role, it heavily utilizes AI/ML techniques in a quantitative finance context. | — | 5 |
| Quantitative Researcher Quantitative Researcher role at Jane Street focused on learning market signals, analyzing data, building and testing models, and creating trading strategies. The role involves working with experienced researchers on projects, learning about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Access to large datasets and computing resources is provided. The role is open to applying various statistical and ML techniques, including deep learning. | Data | 5 |
| Quantitative Trader Quantitative Trader role focused on applying statistical and ML techniques to financial data for trading strategies. Involves analyzing market signals, building predictive models, simulating strategies, and developing trading intuition, with access to significant data and computing resources. The role emphasizes learning and problem-solving in a collaborative environment. | Data | 5 |
| Quantitative Trader This role focuses on quantitative trading, involving market signal identification, strategy analysis, model construction, and statistical analysis. While the company has significant computing resources and applies various ML techniques, the core of this role is not building AI models but rather using them as tools within a broader quantitative trading context. The role involves learning and applying ML to financial data, simulating strategies, and understanding market microstructure. | Data | 5 |
| Cybersecurity Engineer - Vulnerability Management Jane Street is seeking a Cybersecurity Engineer to mature their vulnerability management program, focusing on automation and scaling. The role involves hands-on building, reasoning about risk, and leveraging AI tooling alongside human judgment. Responsibilities include managing the vulnerability lifecycle, prioritizing findings, driving automation, and building metrics. | — | 5 |
| Formal Methods Engineer Software engineers and researchers to establish a new Formal Methods team focused on agentic programming, aiming to provide feedback for agents and validate agent-generated code. The role involves leveraging existing tools and pursuing novel approaches to make formal methods a practical tool for building software. | Agent | 5 |
| Formal Methods Engineer Seeking software engineers and researchers to establish a new Formal Methods team focused on agentic programming. The role involves leveraging and developing formal methods to provide feedback for agents and validate agent-generated code, integrating research into practical tools for internal and external use. | Agent | 5 |
| Quantitative Trader 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. | — | 5 |
| Quantitative Trader 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. | Data | 5 |
| Data Center Mechanical Engineer 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. | — | 5 |
| Senior Network Engineer 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. | — | 5 |
| Software Engineer 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. | Data | 5 |
| Software Engineer 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. | — | 5 |
| Senior Network Engineer 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. | — | 5 |
| Network Analyst 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. | — | 1 |
| Senior Network Engineer 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. | — | 1 |
| Senior Network Engineer 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. | — | 1 |
| Software Engineer Software Engineer role at Jane Street, focusing on designing and building systems and tools for the firm, including trading, accounting, and infrastructure. Experience with functional programming (OCaml) and Python for data analysis and machine learning is mentioned, but not strictly required. The role emphasizes strong programming skills, intellectual curiosity, and a willingness to learn. | — | 0 |
| Data Strategist Seeking a Data Strategist to identify, evaluate, and procure external datasets to improve trading strategies. This role involves partnering with traders and researchers, managing vendor relationships, and coordinating with internal teams like Legal, Compliance, Finance, and Data Engineering. | — | 0 |
| Events Coordinator Jane Street is seeking an Events Coordinator to plan and execute a wide range of internal and external events for employees and college recruits. This role will partner closely with Recruiting, Human Resources, and Office Administration to design, schedule, and deliver high-quality events that align with firm-wide objectives and enhance culture. Responsibilities include full-scale event management, building relationships with stakeholders, establishing event objectives, maintaining event details and costs, and sharing best practices. | — | 0 |
| Trader (OCaml Experience) Jane Street is hiring Traders with OCaml experience to execute proprietary strategies in global financial markets, build and maintain trading infrastructure, and develop new trading strategies. The role requires a quantitative background, experience with trading systems, statistics, machine learning, and financial time series analysis, as well as OCaml and Python proficiency. | — | 0 |
| Technical Program Manager, Information Technology This role focuses on leading and architecting complex, enterprise-scale technical initiatives within Jane Street's IT and infrastructure organizations, with a strong emphasis on security, regulatory compliance, and trading technology integration. The Technical Program Manager will own end-to-end delivery, establish program management excellence, and shape strategic technical direction. While the role mentions interfacing with LLMs and AI tools for workflow automation, the core responsibilities are in program management and IT infrastructure, not direct AI/ML development. | — | 0 |