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Senior / Staff Software Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

Job DescriptionSenior / Staff Software Engineer

Company: Autoscience Institute
Location: San Mateo, CA (in office 4 days per week; flexible hours)
Compensation: $300,000 - $350,000 + competitive equity
Employment Type: Full-time
Visa Sponsorship: H-1B transfers, TN and O-1 sponsored

About Autoscience Institute

Autoscience Institute builds AI systems that autonomously conduct AI research. It announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops), and its commercial product Mira is deployed at top-three global quant trading firms, delivering 20%+ model performance gains.

Founded in 2024, Autoscience has about 10 people and raised $14M from General Catalyst, Perplexity Fund, S32, MaC Ventures and Toyota Ventures, with a Series A in progress.

The Role

Autoscience is hiring Senior / Staff Software Engineers (5+ years) to join a tiny, elite team as high-leverage ICs writing production Python that powers recursive self-improvement for Mira. You have owned complex projects end to end, write pristine code and operate without hand-holding at a company where iteration speed is the competitive advantage. As one of the first senior engineering hires, you will shape technical direction.

What You Will Do

  • Build and optimize the recursive self-improvement pipeline for Mira.
  • Work on the agentic discovery search system and the post-training stack used for customer-specific models.
  • Write high-performance Python that speeds up autonomous research workflows.
  • Turn experimental ideas into production systems with researchers and engineers.
  • Shape architecture and technical direction.

What You Bring

  • 5+ years of software engineering experience
  • Ownership of complex projects end to end
  • Excellent production Python
  • Backend and ML infrastructure experience (GCP a plus)
  • Ability to work in the San Mateo office 4 days a week

Tech Stack

Python, Google Cloud Platform, backend infrastructure, production systems, ML infrastructure, AI observability

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