Senior / Staff Software Engineer
Listed on 2026-08-16
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python, Backend Developer
Senior / Staff Software Engineer
Location - San Mateo, CA (On-site) - 4 days/week in-office in San Mateo. Flexible hours --- the team typically works 10:30am--6:30pm.
Compensation - $300,000 -- $350,000 Base + Competitive Equity
Visa - Open to Visa Transfers (OPT, H1B Transfers)
Company Stage - Seed / Series A in Progress
Industry - Artificial Intelligence, Autonomous AI Research, Agentic AI, ML Infrastructure, AI Research Automation, Enterprise Software
About the CompanyAutoscience Institute is building AI systems that autonomously conduct AI research.
The company is developing autonomous research agents capable of discovering, evaluating, and improving AI systems with minimal human intervention. Autoscience has already demonstrated autonomous AI research capabilities, including an AI agent that autonomously created peer-reviewed literature at the ICLR 2025 Workshops.
The company's commercial product, Mira, is an autonomous research agent already deployed at top-three global quantitative trading firms and has delivered 20%+ model performance improvements.
Backed by General Catalyst, Perplexity Fund, S32, MaC Ventures, and Toyota Ventures, Autoscience has raised $14M and is currently progressing toward a Series A. The company operates with a tiny, highly technical team of approximately 10 people.
As a Senior / Staff Software Engineer, you'll join one of the company's earliest senior engineering hires and work directly on the systems powering autonomous AI research.
This is a high-leverage individual contributor opportunity where you'll write production Python, build recursive self-improvement systems, improve agentic discovery infrastructure, and translate research ideas into reliable production software.
The team operates with exceptional autonomy and iteration speed. Engineers are expected to own complex projects end-to-end, make architectural decisions independently, and operate without significant hand holding.
What You'll Do- Build and optimize the recursive self-improvement pipeline powering Mira
- Develop production systems that enable autonomous AI research
- Build and improve the agentic discovery search system
- Develop robust post-training infrastructure for customer-specific AI models
- Build systems for training and fine-tuning models based on customer requirements
- Write high-performance Python algorithms focused on improving autonomous research speed
- Optimize production systems for performance, reliability, and scalability
- Translate experimental research ideas into production-ready engineering systems
- Collaborate closely with AI researchers and engineers on new autonomous research capabilities
- Design and implement backend infrastructure supporting autonomous AI workflows
- Improve the reliability and observability of AI research systems
- Debug complex production systems and identify performance bottlenecks
- Own major technical projects from initial architecture through production deployment
- Make architecture and technical direction decisions as one of the earliest senior engineers
- Build infrastructure capable of supporting increasingly sophisticated AI research agents
- Work closely with the founding team to shape the technical roadmap
- Establish engineering practices that maintain code quality as the company scales
- Operate with high autonomy and move quickly from experimentation to production
- Help define the engineering foundation for recursive AI research systems
- 5+ years of professional software engineering experience
- Strong experience building production software systems
- Experience owning complex technical projects end-to-end
- Experience building backend or infrastructure systems
- Experience working on AI/ML systems or AI-powered products
- Experience operating production systems at scale
- Experience translating research or experimental concepts into production software
- Experience working effectively in small, high-performing engineering teams
- Strong ownership mentality with demonstrated technical autonomy
- Experience making architecture and system design decisions independently
- Comfortable operating without extensive processes or hand holding
- Experience working closely with research and…
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