Join the Future of AI Trading
Help us build the next generation of intelligent trading systems. Work with world-class engineers, researchers, and traders to democratize algorithmic trading for everyone.
Why Work at Kyros
We invest in our people because they're our most important asset.
Remote-First Culture
Work from anywhere in the world. Our team spans 12 countries and 6 time zones. We believe great talent isn't limited by geography — our distributed culture keeps us agile and diverse.
Competitive Equity
Every team member gets meaningful equity in Kyros. When the company succeeds, everyone succeeds. We're building long-term wealth together, not just paying salaries.
Learning & Growth Budget
$5,000 annual learning budget for conferences, courses, books, and certifications. Plus access to internal AI research seminars and bi-weekly knowledge-sharing sessions.
Trading Credits
All employees receive premium-tier trading credits to use the platform at no cost. Dogfood our own tools, develop intuition for our users, and participate in internal trading competitions.
Our Culture
At Kyros, we move fast and think deeply. We're a team of intellectually curious builders who thrive on solving hard problems at the intersection of artificial intelligence and financial markets. Small teams, big impact — every engineer ships features that reach thousands of traders within days, not months.
We believe in radical transparency, async-first communication, and giving people the autonomy to do their best work. Leadership is accessible — everyone has a direct line to the founders. We debate ideas vigorously, ship quickly, measure relentlessly, and iterate based on real data.
Open Positions
5 roles currently open across our team.
Senior AI/ML Engineer
Design and train deep learning models for market prediction and signal generation. Work with transformer architectures, reinforcement learning agents, and ensemble methods in production trading systems.
Full-Stack Developer
Build and scale our Next.js dashboard, real-time trading interfaces, and internal tooling. Strong TypeScript, React, and PostgreSQL experience required. Experience with WebSocket and real-time data a plus.
Quantitative Researcher
Develop novel trading strategies using statistical models and machine learning. Conduct rigorous backtesting, walk-forward analysis, and live performance attribution across multiple asset classes.
DevOps / Infrastructure Engineer
Architect and maintain low-latency cloud infrastructure for 24/7 trading operations. Experience with Kubernetes, AWS, Terraform, and real-time data pipelines (Kafka/Redis) required.
Trading Systems Engineer
Build and optimize the core trading engine connecting to MetaTrader 5 brokers. Focus on order management, execution quality, and latency optimization. C++ and Python experience preferred.
Don't See Your Role?
We're always looking for exceptional talent. If you're passionate about AI, trading, or building world-class products, we'd love to hear from you.
Send Your Resume