Principal ML Research Scientist — Frontier AI for Impact

IMC Trading; Greater London; Sur place; GBP 120 000 - 170 000; Plein temps

Résumé du poste

IMC Trading is seeking a Principal Research Scientist to define and accelerate its long-term machine learning research agenda within Systematic Equities. This role suits an established academic researcher who wants to stay close to frontier ML while delivering real-world impact.

You will collaborate with quantitative researchers, engineers and leadership to identify directions, evaluate developments and translate advances into practical tools, frameworks and infrastructure.

Qualifications

• PhD in Machine Learning or related quantitative discipline.
• Outstanding academic credentials and a strong publication record.
• Current or recent experience in a faculty‑equivalent academic or research leadership role.

Responsabilités

• Shape the long-term machine learning research agenda within Systematic Equities.
• Identify and translate advances from frontier ML research into practical opportunities.
• Conduct original research and develop proof‑of‑concept solutions where appropriate.
• Advise and mentor quantitative researchers on methodology, experimentation and research direction.
• Help guide future investments in research tooling, infrastructure and compute capabilities.
• Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR.
• Contribute to publication efforts where appropriate and consistent with intellectual property considerations.

Connaissances

Strong programming skills

Experience mentoring researchers

Leadership in research initiatives

Excellent communication acrossDiscipl}

Publication record in leading venues

Formation

PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or related quantitative discipline

Outils

TensorFlow / PyTorch

Description du poste

IMC Trading is seeking a Principal Research Scientist to define and accelerate its long-term machine learning research agenda within Systematic Equities. This role suits an established academic researcher who wants to stay close to frontier ML while delivering real-world impact.

You will collaborate with quantitative researchers, engineers and leadership to identify directions, evaluate developments and translate advances into practical tools, frameworks and infrastructure.