Research Scientist, AI

About the role

Atlys is building an AI-first platform that removes friction and uncertainty from travel. Our mission is to enable every person on Earth to travel freely. To date, we've processed visas for 1M+ travellers across 127 countries.

Responsibilities

• Set and drive a research agenda on open problems in agentic AI, including how LLM-powered agents plan, use tools, take actions and recover from errors over long, multi-step tasks.
• Develop new methods for multimodal understanding and reasoning, so models can reliably extract, verify and reason over noisy, unstructured real-world inputs across formats and languages.
• Design and run post-training research, including fine-tuning, preference optimisation and reinforcement learning, to push model capabilities beyond what general-purpose frontier models offer.
• Research calibration, uncertainty estimation and self-verification so AI systems know when to act autonomously and when to defer to a human.
• Build evaluations, benchmarks and synthetic data methods that give an honest picture of model quality, robustness and failure modes, especially on the long tail.
• Collaborate closely with research engineers to take ideas from prototype to production, and share findings through internal write-ups and, where appropriate, publications.

Requirements

• PhD or MS in Computer Science, Machine Learning or a related field, or equivalent research experience, plus 3+ years of applied or academic research in ML, NLP or computer vision.
• Track record of original research, such as publications at top venues (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR), influential open-source work, or research that clearly moved production metrics.
• Deep hands-on experience with LLMs beyond prompting, including fine-tuning, RLHF/DPO or other post-training methods, evaluation design, and a strong grasp of why models succeed or fail.
• Strong in Python and PyTorch, and can run experiments yourself, from data curation and training runs to careful analysis.
• Bring rigour with a bias to impact: you ask sharp questions, design clean experiments, avoid fooling yourself, and care about whether the result changes what we build.

Benefits

• Competitive compensation and equity so you participate in the value you help create.
• Comprehensive health insurance covering you and your family, plus annual preventive health check-up on us.
• A thoughtful leave policy with paid time off and company holidays, because great work also requires real time off.
• Lunch, high tea and dinner at the office, so the basics are taken care of while we build together.
• Learning & development credits to invest in courses, books, conferences and tools that help you get better at your craft.
• Relocation support to make moving closer to the team as seamless as possible.
• Great tools to do your best work, including high-spec equipment, software and compute for your research.
• An office designed for more than just work, with pickleball, table tennis, PlayStation, an arcade game room, an F1 simulator and even a full flight simulator.