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, with 16 new openings in the last 4 weeks. Primary focus: Serve · Research.
Jane Street currently has 25 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), Senior Weather Analyst/ML Researcher (2). Most positions are in Research and Engineering.
Jane Street's active AI hiring is concentrated in: serving infrastructure (28%), pre-training (28%), data (28%). 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 (9 roles), United States (8 roles), United Kingdom (7 roles), Singapore (1 role).
Job postings at Jane Street most frequently reference: model serving, fine tuning, recommender systems, frontier research, pretraining.
In the past 30 days, Jane Street has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 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 |
| 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 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 |
| 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 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 |
| 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 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 |
| Statistical Arbitrage Research Analyst Seeking a Statistical Arbitrage Research Analyst to apply math and statistical methods to develop trading strategies across various asset classes. Role involves analyzing diverse datasets, assessing data quality, feature engineering, and collaborating with a team. Experience in quantitative research and statistical/ML modeling is preferred. | — | 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 |