Data Agent at Genesis (Paris, France)
Genesis· Paris, France·
Role details
Work type
Hybrid
Employment
Full-Time
Job description
What You’ll Do
- 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 You’ll Bring
- 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
- Bonus: Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators)
Why work at Genesis
- Culture: Values include candor, responsibility, limitless ambition, and a joyful journey. The team is described as multicultural, optimistic, and pragmatic.
- Work model: Hybrid/office-based presence in Paris, San Francisco Bay Area, and London. No explicit remote policy mentioned, but the company emphasizes in-person collaboration.
- Engineering culture: Builders get to work on the hardest problems in robotics and AI – from foundation models to hardware design to data systems. The team includes pioneers of generative simulation, Diffusion Policy, and GPU compilers.
- Notable perks: The chance to shape a category-defining general-purpose robot; close collaboration with world-class investors and advisors; fast-growing startup with significant resources ($105M seed).