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Autoscience Institute

engineering opportunity

Senior / Staff Software Engineer

Senior / Staff Software Engineer role at Autoscience Institute in San Mateo, US. Focus areas include Python, Google Cloud Platform (GCP), Backend Infrastructure, Production Systems, ML Infrastructure, AI Observability. Building and optimizing the recursive self-improvement pipeline for Mira, our commercial autonomous research agent Working on the agentic discovery search system and robust post-training stack used to

San Mateo, USFull-time

Posted

About the role

What will you do at Autoscience Institute?

We are looking for a Senior / Staff Software Engineer with 5+ years of experience to join a tiny, elite team building AI systems that autonomously conduct AI research. You'll be a high-leverage IC writing production Python code that powers recursive self-improvement for our commercial product, Mira — already deployed at top-three global quant trading firms and delivering 20%+ model performance gains.

We need someone who has owned complex projects end-to-end, writes pristine code, and can operate without handholding at a company where iteration speed is the competitive advantage. This is a ground-floor opportunity at an 8-person team backed by General Catalyst with $14M in seed funding and a Series A in progress. What will you be doing?

Building and optimizing the recursive self-improvement pipeline for Mira, our commercial autonomous research agent Working on the agentic discovery search system and robust post-training stack used to train and fine-tune customer-specific models Writing high-performance Python algorithms focused on shaving performance and increasing speed of autonomous research workflows Collaborating cross-functionally with researchers and engineers to translate experimental ideas into production systems Shaping technical direction and architecture decisions as one of the first senior engineering hires at the company

Which skills does this role require?

PythonGoogle Cloud Platform (GCP)Backend InfrastructureProduction SystemsML InfrastructureAI Observability

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