Software Engineer - Post-training Data

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Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.

As a Software Engineer working on our post‑training data infrastructure, you write efficient and robust data pipelines and work with the research and Applied teams to devise strategies for gathering and maintaining specific, diverse datasets at scale.

• Develop creative ways to obtain post‑training datasets teaching the model targeted capabilities.
• Develop creative ways to reliably generate synthetic datasets.
• Iterate on filtering and scoring heuristics for a post‑training dataset.
• Contribute to our data infrastructure by implementing, maintaining and testing data pipelines serving workloads across scales from gigabytes to 100s of petabytes.

• Extreme attention to detail and commitment to data quality.
• Ability to write reliable, well‑tested code and quickly learn new tools, programming languages or frameworks needed for a given job.
• Versatility in end‑to‑end data pipelines, from scraping to processing.
• High intellectual agility and grit to tackle tough challenges.

• Integrity. Words and actions should be aligned.
• Hands‑on. At Magic, everyone is building.
• Teamwork. We move as one team, not N individuals.
• Focus. Safely deploy AGI. Everything else is noise.
• Quality. Magic should feel like magic.

• Annual salary range: $200K - $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.

Entry level

Full‑time

Engineering and Information Technology.

Software Development.