Member of Technical Staff, Data Agent (Bay Area, Remote)

Genesis AI • San Carlos, CA

5d • Remote

About The Position

This role focuses on developing LM/VLM-powered agents that can autonomously interact with various tools like code, GUIs, web applications, and design software to drive generative simulation. The goal is to build agentic systems that create diverse and high-quality physical data by integrating simulation, generative models, and interactive tools. The position also involves creating data pipelines for curating, generating, and preprocessing datasets for training and evaluating language and vision-language agents. Collaboration with simulation and infrastructure teams is key for developing APIs, GUIs, and services for seamless interaction with physics engines and simulation environments. The role encourages innovation by staying current with LLM agents, autonomous tool use, and generative simulation, translating research into production-ready systems, and contributing to a generative simulation stack for applications in robotics, embodied AI, and physical reasoning.

Requirements

• A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents.
• Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation.
• Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis.
• Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence.

Nice To Haves

• Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).

Responsibilities

• Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation.
• Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools.
• Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents.
• Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments.
• Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems.
• Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed