Anyscale
51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Anyscale is a company that provides an advanced AI platform designed to optimize performance and reduce costs for AI workloads. Powered by RayTurbo, a supercharged version of the Ray AI Compute Engine, Anyscale's platform allows users to efficiently run AI and machine learning tasks across a variety of computing environments including GPUs and CPUs. The company caters to developers and AI/ML specialists by enabling scalable, distributed computing and offers tools for rapid model training, evaluation, and deployment. Anyscale is used by AI leaders globally, including companies like OpenAI and Uber, to accelerate and enhance their AI development processes.
Software Engineer – Ray Core
🕒 May 15
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Anyscale
51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Anyscale is a company that provides an advanced AI platform designed to optimize performance and reduce costs for AI workloads. Powered by RayTurbo, a supercharged version of the Ray AI Compute Engine, Anyscale's platform allows users to efficiently run AI and machine learning tasks across a variety of computing environments including GPUs and CPUs. The company caters to developers and AI/ML specialists by enabling scalable, distributed computing and offers tools for rapid model training, evaluation, and deployment. Anyscale is used by AI leaders globally, including companies like OpenAI and Uber, to accelerate and enhance their AI development processes.
📋 Description
• Leading cross-team projects while mentoring junior team members • Develop high quality open source software to simplify distributed programming (Ray) • Identify, implement, and evaluate architectural improvements to Ray core • Improve the testing process for Ray to make releases as smooth as possible • Communicate your work to a broader audience through talks, tutorials, and blog posts
🎯 Requirements
• At least 5 years of relevant work experience • Experience in building scalable and fault-tolerant distributed systems • Extensive experience working in C/C++ and on low-level operating systems • Solid background in algorithms, data structures, system design • Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred • Knowledge of GPU programming is preferred
🏖️ Benefits
• Health insurance • Paid time off
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