Engineering Intern

Roam

$312K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in building and scaling products with multi-agent tools.
  • Proficient in running post-training for LLMs and conducting data pipeline automation.
  • Background in launching products that quickly gained thousands of users and drove retention.
  • Knowledge of GPU optimization and CUDA kernels is preferred.
  • Significant experience in software engineering with a focus on applied AI is a strong plus.

Responsibilities

  • Architect and implement game generation pipelines utilizing LLMs and agentic chains.
  • Optimize iteration cycles, model accuracy, and generation speed for mobile and cloud environments.
  • Scale the product effectively to meet user demands.
  • Build real-time feedback loops for auto-testing and improving games based on player actions.
  • Deliver context-aware content creation through multi-turn dialogue and precise parameter control.

Benefits

  • Free housing, food, and transportation provided.
  • Opportunity for full-time employment for successful candidates.
  • Collaborate with a mission-driven team at the forefront of AI technology.
  • Participate in shaping innovative benchmarks in 3D world interactivity.
  • Direct contribution to a product with a large user base and creator network.
Full Job Description
About the Role:

You'll work at the intersection of applied AI and large-scale systems, focusing on world generation pipelines, data-efficient training methods, and inference-time optimization for real-time generation. Your work will enable everyone make, play and monetize highly engaging games & 3D environments. This will include:
  • Architect and implement game generation pipelines powered by LLMs and advanced agentic chains
  • Optimize game iteration cycles, model accuracy, and generation speed across mobile and cloud stacks
  • Scale the product
  • Build feedback loops that learn from player & self-play actions to auto-test and improve games in real time
  • Deliver context-aware creation via multi-turn dialogue and fine-grained parameter control


We're looking for engineers who have:
  1. Built & scaled products with agents: Orchestrated multi-agent tool-calling with memory and planning, shipped to real users with live evals, tracing/observability.
  2. Ran LLM post-training: Curated clean preference data, automated data pipelines, and built eval harnesses.
  3. Built fast growing products: solo or with a friend launched products that grew to 1000s of users. Owned onboarding and growth loops and drove retention.
  4. Worked on GPU optimization & CUDA kernels: and similar.

Responsibilities:
  • Architect and implement game generation pipelines powered by LLMs and advanced agentic chains
  • Optimize game iteration cycles, model accuracy, and generation speed across mobile and cloud stacks
  • Scale the product
  • Build feedback loops that learn from player & self-play actions to auto-test and improve games in real time
  • Deliver context-aware creation via multi-turn dialogue and fine-grained parameter control

Strong candidates may also have:
  • Significant experience in software engineering and applied AI
  • 1+ year full time experience at a hypergrowth startup

Compensation:
  • $150 an hour. Successful candidates might be offered a Full Time offer.
  • Free housing, food, and transportation.


Growth Opportunity

You'll join a mission-driven team working at the frontier of AI world generation. We're HQ'd in SF and currently work all week around. In this role, you'll have the opportunity to:
  • Own large parts of Roam's core generation and simulation stack spanning from multimodal data pipelines to agent orchestration and engagement modeling.
  • Define new benchmarks for fun, retention, and interactive intelligence in 3D worlds using behavioral data across thousands of environments.
  • Ship alongside a team that has already built products for 13M+ users, with 1000+ large creators ready to deploy our technology.


If you're excited to move fast, build at the edge of what's possible, and help define how AI inhabits 3D worlds, let's talk.

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