I am currently working with a company focusing on AI, LLM and Computer Vision.
Salary package attractive! Hybrid working arrangement- 4 days office. Office location near Buona Vista. 4 rounds of interview to offer stage.
about job
- Develop and execute comprehensive RL frameworks to evaluate the safety, performance, and alignment of autonomous agents.
- Build advanced monitoring tools using Bayesian models (GPs, BNNs) to quantify system risk and confidence levels.
- Architect and maintain testing infrastructure to debug and validate non-deterministic software systems.
- Conduct technical red-teaming and benchmarking using specialized methods like PPO and RLHF.
- Manage the full technical lifecycle from environmental interfacing to policy optimization.
- Translate complex theoretical designs into high-quality, production-ready code under senior technical mentorship.
skills and requirements
- Strong academic background in a quantitative field such as Mathematics, Physics, or Machine Learning theory.
- Expert-level proficiency in the Python ecosystem, specifically NumPy and PyTorch.Hands-on experience with Reinforcement Learning techniques, including Trust Region methods and RLHF.
- Practical knowledge of Bayesian Machine Learning models like Gaussian Processes or Bayesian Neural Networks.
- Demonstrated ability to design automated testing frameworks and debug complex, non-linear systems.
- Familiarity with Multi-Agent RL (MARL) technologies and a keen interest in applied AI safety research is a significant plus.
To apply online please use the apply function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
