Jane Street
Quant · Quantitative trading firm
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.
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.
Currently tracking 23 active AI roles, up 120% versus the prior 4 weeks. Primary focus: Serve · Research.
| 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, 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Natural Gas Analyst/Trader Seeking an experienced Natural Gas Analyst/Trader to research and develop new strategies that integrate fundamental analysis with quantitative trading approaches within the natural gas market. | — | 0 |
| Macro Analyst Seeking an experienced Macro Analyst to enhance global trading strategies with quantitative and fundamental analysis, focusing on global macro topics and expanding trading opportunities. | — | 0 |
| Quantitative Trader Quantitative traders at Jane Street identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, and manage risk. The role involves close collaboration with research and technology, utilizing large-scale computing resources and applying various statistical and ML techniques, including deep learning. | — | 0 |
| Quantitative Trader Quantitative traders at Jane Street identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, and manage risk. They work with large datasets and leverage various statistical and ML techniques, from linear models to deep learning, in a collaborative environment. | — | 0 |
| Macro Analyst Experienced Macro Analyst to provide macroeconomic and geopolitical insights to global trading and research teams, focusing on developing well-reasoned views and expanding trading opportunities. Responsibilities include macro updates, quantitative analysis, aggregating research, and deep dives into specific topics. | — | 0 |
| FTR Trader Experienced FTR trader to trade congestion products, conduct research, and design trading strategies in multiple ISO/RTOs. Requires strong market knowledge, analytical skills, and experience with strategy lifecycle and risk management. | — | 0 |
| Tools and Compilers Research and Development Research internships in Tools and Compilers group focusing on improving OCaml, including type systems, optimizers, and toolchain enhancements. Projects involve applying state-of-the-art research to a production codebase. | — | 0 |
| Tools & Compilers Research and Development Research internship in Jane Street's Tools and Compilers group, focusing on improving OCaml. Projects involve type systems, superoptimization, and compiler testing, applying state-of-the-art research to a production codebase. | — | 0 |