Founding Member of Technical Staff
- Palo Alto, CA, United States
$200,000 to $300,000 USD / year
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Job details
- Pay
- $200,000 to $300,000 USD / year
- Posting language
- English
- Posted
Original job description
ABOUT THE ROLE
Join a small, founding-stage team building AI systems for financial markets. You will take ideas from early exploration through production, working across trading infrastructure, data, and research tools.
WHAT YOU'LL DO
- Develop and ship projects end to end across the trading technology stack.
- Build and extend data pipelines, trading signals, and research infrastructure.
- Create automated execution systems and tools that help the team move quickly from idea to live experiment.
- Partner with quantitative and AI researchers on approaches to market prediction.
- Contribute across trading infrastructure, machine learning, and security as team needs evolve.
WHAT WE'RE LOOKING FOR
- One to five years of full-time software engineering or quantitative development experience, with strong software engineering fundamentals.
- Proficiency in Python or C++ and a degree in computer science, mathematics, statistics, physics, or a related field.
- Experience owning a project from ideation through production, with a focus on solving downstream user or business problems.
- Trading, markets, or quantitative experience beyond general application development, such as work at a trading firm, hedge fund, exchange, or markets-focused startup, or serious personal trading projects.
- Strong statistical intuition and comfort working with noisy real-world data.
- Experience using AI-driven development tools and approaches.
- Ability to take initiative and work effectively in an early-stage, ambiguous environment.
COMPENSATION & BENEFITS
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available. Equity details were not provided.
LOCATION
On-site in Palo Alto, California.
More about this job
Skills
- Team building
- Financial markets
- Research
- Machine learning
- Python
- C++
- Computer science
- Statistics