- A PhD in Computer Science, AI/ML, Robotics, Mathematics, Physics, Operations Research or a related quantitative field, or MSc and 5+ years of industry experience applying AI/ML or simulation to real-world problems.
- Hands-on experience building, extending or validating simulators, ideally discrete-event simulation (SimPy or similar).
- Practical experience with reinforcement learning and training simulation-based agents, including simulation for RL and Gym-style environments.
- Strong Python and software engineering fundamentals: testing, code review, maintainable and reproducible code.
- Rigorous experimental and statistical thinking: benchmarking, tuning, ablations, uncertainty.
- Experience in robotics, logistics, warehouse or other operations-heavy domains.
- Publications in major AI, ML, robotics or vision venues (e.g. NeurIPS, ICML, ICLR, AAAI, RSS, CoRL, ICRA, IROS, CVPR, ICCV, ECCV).
- Excellent English communication skills, both written and verbal, with the ability to engage diverse audiences effectively and explain uncertain results clearly to technical and non-technical audiences in a multidisciplinary environment.
The expected base salary range for this role is GBP 70,000 - 120,000 based on external market data, plus bonus and equity. Actual offers will depend on factors such as the candidate's experience, education, training, key or critical skills, geographic location, and current market and business conditions.
Additional Information
Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
