AI Research Engineer

Research Engineer | San Francisco | Full-Time Brief Overview Applied AI lab building world models for 3D game environments. Early-stage, well-backed, 3 weeks from beta launch. What You'll Own You'll take large ownership of the core generation and simulation stack—the intelligence layer that turns ideas into playable 3D environments without any technical skill required. Your focus: distributed multi-agent orchestration for coordinated world synthesis (terrain, assets, behaviors), data-efficient training pipelines, real-time inference optimization, and agentic codegen tools that enable studio-quality environment creation. You'll architect systems that let creators go from concept to playable world in hours, not months. You'll define new benchmarks for retention, fun, and interactive intelligence using behavioral data across thousands of live environments. Your code ships to millions within weeks. Your Profile Strong software fundamentals. You move fluidly between production systems and research code. You've shipped at scale. Multimodal & agentic systems. You've built or trained large models (diffusion, vision-language, RL agents). Hands-on with Claude, OpenAI, or custom implementations. Distributed training & scale. You've worked large-scale vision/3D pipelines, data curation, or distributed training. You know where things break and how to fix them. Preferred: Generative vision, world models, RL systems, robotics, game engines, or multi-agent coordination. The Reality Schedule: 996 for the first 4 months. Fast-moving team, tight deadlines. Location: San Francisco, on-site. Relocation support + free housing, food, transportation provided. Team: 12-person applied AI team. Flat structure, direct access to founders. Impact: Your work ships to millions of users within weeks. Compensation Base: $200K–$350K (flexible for exceptional candidates) All-in TC: Up to $1M+ for top talent, heavily weighted to equity Other: Visa sponsorship, relocation support, free housing/food/transportation Why This Matters You're not training another large model or optimizing a search ranking. You're building the systems that let millions of people create, play, and monetize worlds together. Your work ships in weeks, not quarters. How It Works Vibe check (20 min with founder) — Mission fit, communication, intensity readiness Technical deep dive (90 min with tech lead) — Systems design, research depth, shipping experience Internal panel (60–90 min with team leads) — Collaboration, vision, ambiguity tolerance Trial task (1–2 days) — Real problem from the stack; shows your thinking + culture fit Offer — If aligned, fast move Total timeline: 10–15 days from first call to offer. #J-18808-Ljbffr Harnham