Magic
Magic is an innovative company focused on building frontier code models to automate software engineering and research. They are working towards achieving safe Artificial General Intelligence (AGI) by automating AI research and code generation, aiming to solve alignment issues more reliably than human efforts alone. The company employs advanced techniques such as frontier-scale pre-training, domain-specific reinforcement learning, and ultra-long context computation. With significant backing, including $515 million in funding, Magic is a small but dedicated team of engineers and researchers addressing fundamental research problems related to AGI.
Software Engineer
November 9, 2024
🇺🇸 United States – Remote
💵 $100k - $550k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Magic
Magic is an innovative company focused on building frontier code models to automate software engineering and research. They are working towards achieving safe Artificial General Intelligence (AGI) by automating AI research and code generation, aiming to solve alignment issues more reliably than human efforts alone. The company employs advanced techniques such as frontier-scale pre-training, domain-specific reinforcement learning, and ultra-long context computation. With significant backing, including $515 million in funding, Magic is a small but dedicated team of engineers and researchers addressing fundamental research problems related to AGI.
📋 Description
• Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. • As a Software Engineer working on our pretraining data, you write efficient and robust pipelines for giant, multimodal datasets. • You will develop and optimize web scraping techniques to harvest and maintain data at internet-scale.
🎯 Requirements
• Strong proficiency in distributed computing and parallel processing techniques • Obsession with details, reliability, and good testing to ensure data quality and integrity • Experience with designing and maintaining high-performance, scalable data architectures • Ability to design, develop and operate an LLM data pipeline from web scraping to data loading
🏖️ Benefits
• Annual salary range: $100K - $550K • Equity is a significant part of total compensation, in addition to salary • 401(k) plan with 6% salary matching • Generous health, dental and vision insurance for you and your dependents • Unlimited paid time off • Visa sponsorship and relocation stipend to bring you to SF, if possible • A small, fast-paced, highly focused team
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