Build the Future with Algorithia
Join a passionate team of algorithmic innovators driving the next generation of AI and machine learning.
π€ View Open Roles π Learn About Our Mission
Join a passionate team of algorithmic innovators driving the next generation of AI and machine learning.
π€ View Open Roles π Learn About Our Mission
Collaborate on groundbreaking projects at the intersection of AI, quantum computing, and large-scale distributed systems.
Your work empowers 250k+ learners and contributes to open-source frameworks used in 150+ countries.
Access our entire educational ecosystem - including exclusive research materials and hands-on algorithm labs.
Join MIT, Stanford, and Oxford researchers pushing the boundaries of algorithmic fluency and ethical AI.
Machine Learning Team | San Francisco
Lead research in reinforcement learning for complex optimization problems. Requires strong publication track record in ML conferences.
Quantum Algorithms | Remote
Design next-generation quantum algorithms for complex optimization problems. Requires 3+ years in quantum computing research.
Community Engagement | Remote
Oversee our $1M+ open source initiatives that power educational platforms and AI research frameworks globally.
Not seeing the right role? We're always looking for bright minds.
π Let Us KnowWe're a culture of relentless curiosity. You'll work in teams with 80%+ research published in open access, and participate in weekly whiteboard innovation sessions.
Our compensation packages are designed for people at the cutting edge of algorithmic innovation. In addition to market-competitive salaries:
Equity allocation for all full-time employees
$5,000 annual allocation for conferences and courses
Up to 20% of base compensation for impact contributions
Asynchronous work with global team collaboration
Chief Algorithm Architect
"The best thing about working at Algorithia is the freedom to tackle fundamental research problems that have real-world impact. My team's work on quantum algorithms is being used in production systems today."
Vice President ML Research
"We maintain a balance between theoretical exploration and practical application. Our machine learning team works on both academic breakthroughs and production-level AI systems."
Director of Research
"What makes this team special is our commitment to open science. We publish 80% of our work in open access formats, and our research team includes contributors from over 30 countries."