
1 - 10 employees
Founded 2021
đ¤ Artificial Intelligence
Artificial Intelligence ⢠Software
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.
đĽ 15 hours ago
đ California â Remote
đľ $200k - $550k / year
â° Full Time
đ´ Lead
đĽ Software Engineer
đŚ H1B Visa Sponsor
đť Ghost score 0%
Where this job comes from
Posted on Magic's careers page, not through a job board
First seen by Remote Rocketship 15 hours ago
Still open on Magic's site. Checked 58 minutes ago.

1 - 10 employees
Founded 2021
đ¤ Artificial Intelligence
Artificial Intelligence ⢠Software
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.
⢠Develop new benchmarks and evaluation methodologies ⢠Run data ablations ⢠Assess dataset quality ⢠Investigate whether measurements accurately reflect model performance ⢠Design and validate evaluations and benchmarks across model training and deployment ⢠Investigate model behavior and identify gaps in existing evaluations ⢠Identify opportunities to improve training data ⢠Improve evaluation correctness, reproducibility, and reliability ⢠Audit and improve public benchmarks, research papers, and open-source implementations ⢠Define metrics that accurately reflect model quality ⢠Build tools that make evaluation results accessible and useful across Magic
⢠Experience developing model evaluations, benchmarks, or ML experiments ⢠Strong programming skills and experience working with machine learning systems ⢠Track record of owning technical projects end-to-end ⢠Skepticism toward results that cannot be reproduced, validated, or explained ⢠Experience analyzing model performance and interpreting experimental results ⢠Comfortable navigating ambiguity and determining whether a measurement actually captures the behavior it claims to measure ⢠Commitment to raising the standard of rigor in AI evaluations
⢠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 support for candidates moving to San Francisco ⢠A small, fast-moving, highly collaborative team working on frontier AI systems
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