ML Researcher; PhD Entry-level

Machine Learning Researcher (PhD Entry-Level)

Location: London, Paris, Geneva, Zug, Zurich, Milan

Type: Full-time

We are looking for talented PhD graduates in Machine Learning or related fields to join a research-driven team working on cutting-edge problems at the frontier of AI.

This role is designed for candidates transitioning from academia to industry. You will have the opportunity to apply your research expertise to real-world challenges, while continuing to explore novel ideas and contribute to the broader ML community.

• Apply your PhD research experience to solve complex, real-world problems
• Develop and evaluate machine learning models using modern frameworks
• Explore new methodologies and propose innovative approaches
• Work with large, messy datasets to derive meaningful insights
• Collaborate closely with engineers and researchers to bring ideas into production
• Read, implement, and build upon state-of-the-art academic literature
• Contribute to internal research discussions and, where relevant, external publications

• PhD (or close to completion) in Machine Learning, Computer Science, Mathematics, Physics, Statistics, or a related STEM discipline
• Strong understanding of core ML concepts (e.g. optimisation, generalisation, probabilistic modelling)
• Hands‑on experience implementing ML models (typically in Python)
• Familiarity with at least one major ML framework (PyTorch, Tensor Flow, JAX)
• Demonstrated research ability (e.g. thesis work, publications, or impactful projects)
• Curiosity, intellectual independence, and a problem‑solving mindset

• Publications in conferences such as NeurIPS, ICML, ICLR, CVPR, or ACL
• Experience in areas such as:
• Deep learning
• Reinforcement learning
• NLP / LLMs
• Computer vision
• Time series or sequential modelling
• Exposure to real-world datasets or applied research problems
• Internships or collaborations outside academia

• Opportunity to transition from academic research into industry without losing the research focus
• Work on high-impact problems with tangible outcomes
• Collaborative environment with experienced researchers and engineers
• Scope to continue publishing and attending conferences (where relevant)
• Mentorship and structured growth as you start your industry career