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 |