Senior Principal Machine Learning Engineer (Fulfilment)
Singapore, Singapore
SGD 182K-240K (estimate) Executive-level Full Time
Tasks
- Build latent world models and marketplace state representations
- Create policy evaluation frameworks
- Design and implement end to end reinforcement learning systems
- Design training strategies for language models
- Fine-tune large language models on domain data
- Implement monitoring systems for safe production deployment
- Integrate reinforcement learning and large language models into real time production environments
- Optimize pricing dispatching and supply repositioning policies
Perks/Benefits
- Birthday leave
- Confidential Assistance Programme
- FlexWork
- Medical insurance
- Parental leave
- Term life insurance
- Volunteering leave
Skills/Tech-stack
Decision Processes | DeepSpeed | Direct Preference Optimization | Distributed Training | Dynamic Models | FSDP | Fine Tuning | Generalized Reward Policy Optimization | Human Feedback | Latent Dynamic Models | Learning from Human Feedback | LoRA | Markov Decision Processes | Megatron-LM | Offline Reinforcement Learning | Online Learning | PEFT | Policy Optimization | Preference Based Alignment | Preference optimization | PyTorch | Python | QLoRA | RNN | Ray | Reinforcement Learning | Reinforcement Learning from Human Feedback | Representation Learning | Reward Design | Simulation optimization | Spark | State Space Models | State-Space | Stochastic Control | Supervised Fine Tuning | TensorFlow | Transformers | World Models
Education
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