Developer Experience & Data Tooling Lead
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.
Software Engineer – Data Tooling
Role Overview
We're looking for someone to lead developer experience and data tooling for our pre-training data team. This person will build internal tools and infrastructure that make the team more productive—dashboards, CLIs, data exploration UIs, and the systems that tie them together.
The role is focused on DX and tooling—we're looking for someone who genuinely loves hacking on things, shipping fast, and tinkering.
What You'll Do
Lead tooling efforts across the stack: build systems, continuous integration, CLI tools, and internal web UIs
Build internal tools for exploring datasets, labeling data, reviewing data quality, and tracking data inventory
Improve ergonomics of data infrastructure—IO patterns in Ray/dataflow jobs, dataset tracking, pipeline observability
Identify opportunities by engaging with the team, listening to pain points, and proactively improving workflows
Raise the bar on code organization, packaging, and engineering best practices
What We're Looking For
Nice-to-Haves
Strong software engineering fundamentals
Genuine care for developer experience and best practices in code organization
Good communicator who engages with teammates to understand their needs
Bias toward action—sees something broken and fixes it
Based in San Francisco (this role is in-office)
Ideal Background (in rough priority order)
Open source contributor — someone in the mold of tools like Ruff, uv, or similar developer-facing projects
Build systems / CI experience — has written or maintained build systems, CI pipelines, or developer tooling at scale
Startup product dev — comfortable moving fast, shipping throwaway prototypes, iterating quickly
Not Required
Deep ML/AI expertise (this is a tooling role, not a modeling role)
Prior experience specifically in "data engineering" pipelines—we care more about tooling instincts than domain experience
Why This Role
You'll have significant ownership over how a high-performing team works day-to-day. The scope is broad, the feedback loops are fast, and the work directly impacts how quickly we can move on core research and data efforts.
Our culture:
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
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Quality. Magic should feel like magic
Compensation, benefits, and perks (US):
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
Sponsored
