9 of 9 Remote Ray Jobs

Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development. Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles : Apply ...

with practical experience in building and training reinforcement learning models. Excellent programming skills, with experience using reinforcement learning and ML frameworks (e.g. PyTorch, TensorFlow, Ray, Gym, RLLib, SB3, TRL) and MLOps tools. Solid understanding of hyperparameter optimisation techniques and strategies. Experience building machine learning platforms or tooling for industrial ...

roles 3+ years deploying ML solutions in production Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.) Experience with distributed training (Horovod, Ray, etc.) Proven work with generative AI and LLM applications Strong Python and ML framework skills (PyTorch, TensorFlow, etc.) Experience with MLOps practices and tools Strong communication ...

workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...

have: Professional experience in Reinforcement Learning and/or dealing with combinatorial optimization problems Hands-on experience in high-performance computing environments (Kubernetes, Ray etc.) Domain expertise in the industries of Supply Chain, Manufacturing, Aviation, Energy Benefits: Time to dedicate to personal development, as well as InstaDeep-provided education opportunities ...

from home 1-2 days a week. About you: You have experience of engineering and supporting at least one HPC scheduler, such as YellowDog, Ray, Slurm or IBM Symphony You have a deep knowledge of Linux You have a good understanding of both loosely coupled and tightly coupled HPC workloads ...

from home 1-2 days a week. About you: You have experience of engineering and supporting at least one HPC scheduler, such as YellowDog, Ray, Slurm or IBM Symphony You have a deep knowledge of Linux You have a good understanding of both loosely coupled and tightly coupled HPC workloads ...

fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with GPU optimization: memory efficiency, quantization, mixed precision Comfortable owning ambiguous, zero-to-one technical problems … Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience in large-scale data processing (Apache Arrow, Spark, Ray) Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You'll Get Extreme ownership and autonomy from day one - you define ...

fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with GPU optimization: memory efficiency, quantization, mixed precision Comfortable owning ambiguous, zero-to-one technical problems … Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience in large-scale data processing (Apache Arrow, Spark, Ray) Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You'll Get Extreme ownership and autonomy from day one - you define ...