Software Engineer – AI Systems & Data Pipelines

Magic; San Francisco (CA); On-site; USD 200,000 - 550,000; Full time

Benefits offered by this job

Equity

401(k) matching

Health insurance

Unlimited PTO

Visa sponsorship

Relocation stipend

Job summary

Magic in San Francisco seeks a Software Engineer to work on core systems and product surfaces that determine model capabilities and user experience.

You will own end-to-end from problem definition to production, with roles in Pre-training Data, RL Environments, or Product, depending on strengths. Expect to build scalable pipelines, production-ready services, and robust tooling to support safe AGI development.

Qualifications

• Strong software engineering fundamentals.
• Ability to own ambiguous problems.
• Experience building production systems at scale.
• Ability to reason about trade-offs between quality, performance, and cost.
• Strong technical judgment and bias toward shipping.
• Track record of turning complex technical problems into working systems.

Responsibilities

• Build and scale large distributed data pipelines for pre-training.
• Design filtering, mixture, and dataset versioning systems.
• Develop post-training datasets, evaluation frameworks, and reward pipelines.
• Run ablations that translate capability goals into measurable improvements.
• Build end-to-end product surfaces that integrate deeply with the model.
• Design APIs, backend services, and frontend workflows for AI-first experiences.
• Improve reliability, observability, and performance of production systems.

Skills

Software engineering

Ownership

Production systems

Trade-offs

Technical judgment

Problem solving

Job description

Magic in San Francisco seeks a Software Engineer to work on core systems and product surfaces that determine model capabilities and user experience.

You will own end-to-end from problem definition to production, with roles in Pre-training Data, RL Environments, or Product, depending on strengths. Expect to build scalable pipelines, production-ready services, and robust tooling to support safe AGI development.