Campus AI Researcher, PhD/Postdoc (Full-Time)
Full-time AI research role for PhD/postdoc candidates working on open-ended ML research, model design, tooling, and infrastructure from concept to production.
For PhD and postdoctoral researchers working on open-ended machine-learning problems from research through production.
What Jump looks for
- Strong publications at venues such as ICML, ICLR, AAAI, NeurIPS, UAI, or KDD, and/or meaningful open-source AI research contributions.
- Strong machine-learning background, including modern deep learning and/or language-model architectures such as transformers and state-space models.
- Strong Python and/or C++.
- PyTorch, TensorFlow, and/or JAX.
- Strong quantitative reasoning, collaboration, and communication with trading researchers.
- Intellectual curiosity, originality, practical judgement, and reliable availability.
Useful experience: high-performance computing, distributed large-model training, CUDA or ROCm optimisation, end-to-end model development, and ML research/tooling/infrastructure best practices.
International candidates are encouraged to apply. Jump states that it sponsors work visas for full-time positions.
Details
Role information
Location London
Job type Full-Time
Category Machine Learning
Company
Chicago, United States
Global quantitative trading firm combining research, advanced engineering, AI/ML, and high-performance infrastructure across markets and time horizons.
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Campus AI Researcher, PhD/Postdoc (Full-Time) in London employer: Amsterdam Quant Society
Susquehanna is an exceptional employer for aspiring quantitative traders, offering a dynamic internship experience in the heart of London. With a strong emphasis on mentorship and hands-on project work, interns gain invaluable skills in ETF and options trading, programming, and game theory, all within a collaborative and innovative work culture that fosters personal and professional growth. The opportunity to return for a graduate programme further highlights our commitment to nurturing talent and providing a pathway for future success.