Jane Street
Quant · Quantitative trading firm
Jane Street currently has 25 active AI-related job listings. The hiring is distributed across several stages, with serving infrastructure and data each comprising 28% of the roles, followed by pre-training at 24% and post-training at 20%. The dominant function is Research, with 18 roles, and hiring is concentrated in Hong Kong, the United States, and the United Kingdom. Frequent tech tags include model_serving, recommender_systems, and inference_infra, suggesting a focus on deploying and optimizing AI models.
Quant · Quantitative trading firm
Currently tracking 23 active AI roles, up 120% versus the prior 4 weeks. Primary focus: Serve · Research.
Jane Street currently has 27 active AI-related roles in our index. The most common open titles are: Machine Learning Researcher (7), Quantitative Researcher (7), Machine Learning Engineer (3), Machine Learning Performance Engineer (3), Formal Methods Engineer (2). Most positions are in Research and Engineering.
Jane Street's active AI hiring is concentrated in: serving infrastructure (26%), pre-training (26%), data (26%). 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: United States (9 roles), Hong Kong (9 roles), United Kingdom (8 roles), Singapore (1 role).
Job postings at Jane Street most frequently reference: model serving, agent research, fine tuning, recommender systems, frontier research.
In the past 30 days, Jane Street has posted 6 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 Researcher 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. | PretrainAgent | 9 |
| Machine Learning Researcher 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. | Post-train | 9 |
| Machine Learning Researcher 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. | Post-trainAgent | 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 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 |
| Senior Weather Analyst/ML Researcher 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. | Pretrain | 7 |
| Senior Weather Analyst/ML Researcher 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. | 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 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 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. | Post-train | 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 |
| 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 |
| 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 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. | Data | 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 |
| 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 |
| 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 |
| 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 |
| Workplace Services Rotational Coordinator This role is for a Workplace Services Rotational Coordinator at Jane Street. The program is approximately 18 months long and involves rotations through various Workplace Services groups such as Travel, Events, Desk Administration, Front of House, Conference Center, Food Services, and Operations. The coordinator will provide hands-on support, manage trackers and schedules, build relationships across teams, and identify process improvements. The role requires strong attention to detail, organizational skills, communication, and a hospitality-forward attitude. | — | 0 |
| Compiler Engineer Software engineer to work on code generation in the OxCaml compiler, focusing on optimizations, testing, benchmarking, and deployment. Experience with debuggers and low-level Linux tools is desired. Knowledge of x86-64 and AArch64 architectures is a plus. Experience with LLVM is useful. Management experience is also of interest. | — | 0 |
| IT Logistics and Warehouse Specialist This role is for an experienced logistics and supply chain professional to manage equipment inventory, delivery, installation, and deployment for offices, data centers, and co-locations, and to track assets throughout their lifecycle. Responsibilities include developing logistics plans, managing call-offs, coordinating installations, supporting inventory management, improving processes, troubleshooting issues, managing customs, overseeing warehousing providers, and ensuring real-time inventory data accuracy. The ideal candidate has 5+ years of experience in logistics and project management, preferably in IT or data center environments, with a proven track record in process improvement, vendor management, and warehouse operations. | — | 0 |
| Financing Specialist Jane Street is seeking a Financing Specialist to support and develop their APAC financing capabilities. The role involves optimizing financing capacity, collaborating with trading desks, managing counterparty relationships, and developing the firm's long-term financing strategy. The ideal candidate will have 3-7 years of securities financing experience, a strong understanding of Asian market microstructure, and analytical skills. Programming experience in Python or SQL is a plus. | — | 0 |
| IT Logistics and Warehouse Specialist Logistics and supply chain professional to manage equipment inventory, delivery, installation, and deployment for offices and data centers, tracking assets throughout their lifecycle. | — | 0 |
| Sales Trader Experienced Sales Trader for institutional clients, focusing on ETFs, corporate bonds, and listed derivatives. Responsibilities include facilitating trade execution, building client relationships, providing pre- and post-trade analysis, and anticipating client needs. | — | 0 |
| Workplace Services & Experience – APAC Lead Jane Street is seeking an experienced and strategic Workplace Services and Experience APAC Lead to oversee their workplace functions in Hong Kong and Singapore. This senior leadership role requires strong people management, strategic vision, and the ability to foster collaboration across regions and teams. The lead will be responsible for setting strategic direction, mentoring a multi-office team, managing vendor relationships, overseeing budgets, and championing the company culture. The role also involves supporting new office builds and ensuring seamless operations, with opportunities for international travel and immersion. | — | 0 |
| Financial Resource Management Specialist Seeking analysts for the Finance group to manage the firm's capital base for trading. Responsibilities include monitoring capital usage, reconciling models, executing funding trades, operating position management systems, and automating workflows. The role involves quantitative analysis, problem-solving, and decision-making under pressure, with opportunities for growth and long-term improvement. | — | 0 |
| Senior Financial Reporting Accountant Senior Financial Reporting Accountant responsible for maintaining books and records for APAC businesses, reviewing financial statements, and collaborating with accounting technology teams to improve processes. | — | 0 |