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DevOps Engineer
Build and maintain cloud infrastructure, CI/CD pipelines, and Kubernetes clusters to support robotics software, ML workflows, and embedded deployments for a Physical AI startup.
Data Scientist
Designs and deploys ML models to predict and prevent GPU cluster failures, optimizing real-time AI infrastructure reliability and utilization.
Technical Program Manager - Cluster Orchestration & Applied Training
Leads cross-functional programs to improve AI workload scheduling and training workflows on CoreWeave's cloud infrastructure, using Kubernetes, Slurm, and AI/ML platforms.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior ML Engineer (Token Factory)
Build and optimize large-scale AI training and inference systems using Python and JAX, focusing on fine-tuning, distributed training, and low-precision computation for foundation models.
Senior Computer Vision Engineer - Deep Learning
Build and deploy deep-learning computer-vision systems using CNNs and Vision Transformers for defence and security applications.
Member of Technical Staff - Pretraining
Research and lead large-scale pretraining for multimodal (image, video, audio) AI foundation models, shaping architectures, training objectives, and systems used by millions of creators.
Member of Technical Staff - Image / Video Generation
Research and train large-scale diffusion models for image and video generation, ablate architectural choices, and fine-tune models for specialized tasks like upscaling and inpainting.
Member of Technical Staff - VLM
Research and develop cutting-edge vision-language models integrated into FLUX’s generative stack, pioneering novel architectures and training strategies to enhance multimodal generation and controllability.
Senior MLOps Engineer
Senior MLOps Engineer builds and optimizes ML pipelines, tracks experiments, and deploys models using tools like MLflow and PyTorch FSDP.
Principal Data Scientist (User Understanding Platformisation)
Principal Data Scientist to lead AI-driven user understanding and generative recommendation systems for Grab’s platform, building shared ML capabilities that power personalized search, chatbots, and notifications across Southeast Asia.
Member of Technical Staff, Agentic Environments
Build and optimize scalable systems for training and deploying large language models, collaborating with research and infrastructure teams to push AI capabilities in production.
AI & Deep Learning Scientists
Research and train large language models and Mixture-of-Experts architectures to generate trading signals from financial time-series data on a GPU cluster.