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Special Projects, Research Operations

Magic is on a mission to build safe AGI to accelerate humanity's progress on important problems. As a Special Projects, Research Operations member, you will help establish workflows that train AI models, collaborating with researchers and engineers while shaping the culture of the new operations team.

Software Engineer - Post-training Data

Magic is dedicated to building safe AGI that accelerates humanity’s progress on critical issues. The Software Engineer role focuses on developing and maintaining data pipelines for post-training datasets, collaborating with research and applied teams to ensure data quality and diversity at scale.

Research Engineer

Magic is on a mission to build safe AGI to accelerate humanity’s progress on critical problems. As a research engineer, you will work on training and evaluating large AI models, optimizing novel model architectures, and building internet-scale datasets to support research and product development.

Software Engineer - Supercomputing Platform & Infrastructure

Magic is an AI coding startup that enables developers to work with AI to find code for building apps. As a Software Engineer on the Supercomputing Platform & Infrastructure team, you will design and build optimized solutions for AI workloads on massive Computing Clusters.

Kernel Engineer

Magic is a company focused on building safe AGI to accelerate humanity's progress on critical issues. They are seeking a Kernel Engineer to design, implement, and maintain high-performance kernels aimed at optimizing throughput and latency during training and inference.

Distributed Systems Engineer

Magic is on a mission to build safe AGI that accelerates humanity’s progress on critical problems. As a distributed systems engineer, you will be responsible for developing the data and coordination systems that support ultra-long context inference and training on the company's GPU clusters.

Software Engineer - Product

Magic is on a mission to build safe AGI that accelerates humanity’s progress on critical problems. As a Software Engineer on the product team, you will be responsible for building and maintaining product surfaces integrated into their model and infrastructure, collaborating closely with design and machine learning engineering teams.

Distributed Compute Engineer

Magic is working on frontier-scale code models to build a coworker, not just a copilot. As a Distributed Compute Engineer at Magic, you will be responsible for building the stack and systems that enable large-scale AI model training and inference on GPU clusters.

Magic.dev is on a mission to build safe AGI that accelerates humanity’s progress on critical problems. As a Special Projects, Research Operations member, you will help train AI models by designing and operating systems that coordinate human experts, managing workflows, and collaborating with researchers and engineers.

Magic is an AI coding startup that enables developers to work with AI to find code for building apps. The Software Engineer will focus on developing efficient data pipelines and collaborating with research teams to gather and maintain diverse datasets at scale.