Member of Technical Staff (Research Engineering)

You’ll bridge research and engineering—rapidly implementing, experimenting with, and scaling new algorithms and models. You’ll work closely with scientists and founders to translate ideas into high-performance systems, and will operate across the stack from prototyping to deployment.

• Prototype and scale experimental models (LLMs, RL agents, agentic systems) on large, real-world data.
• Build tools and pipelines for training, evaluation, and analysis.
• Implement state-of-the-art research from papers and iterate in collaboration with scientists.
• Own the full ML lifecycle: data engineering, experimentation, training, and deployment.
• Operate in a highly autonomous, engineering-driven environment.

• Strong background in deep learning, reinforcement learning, or computational modeling.