Senior Research Scientist
What you will be doing
EquiLibre has a small world-class team of AI researchers applying their knowledge to financial markets. Your job will be to conduct AI/ML research alongside some of the best researchers in the field. You will be a leader in pushing new techniques, new architectures, and new ideas in a domain quite unlike any other in machine learning.
Desired qualifications
- Extensive track record of ML research, either in academia or in industry. Evidence of quality contributions (academic papers, Github repos of personal research, etc).
- Solid technical basics in math, probability, and computer science.
- Experienced with using agentic coding tools (Claude Code, Cursor, etc) as a force multiplier.
- Stays connected to modern developments in ML, can go deep in at least one field.
What you enjoy at work
- Working in a small highly-integrated team, building new things at a very high velocity.
- Leveraging massive compute to solve hard problems.
- Thinking deeply about problem selection. Sometimes the hardest thing is to figure out what to work on.
- Driving new ideas to the finish line, seeing them working well in production.
Junior Research Scientist
What you will be doing
EquiLibre has a small world-class team of AI researchers applying their knowledge to financial markets. Your job will be to conduct AI/ML research, learning from some of the best researchers in the field. You will push new techniques, new architectures, and new ideas in a domain quite unlike any other in machine learning.
Desired qualifications
- ML research experience, either in academia or in industry. Evidence of quality contributions (academic papers, Github repos of personal research, etc) is helpful.
- Solid technical basics in math, probability, and computer science.
- Experienced with using agentic coding tools (Claude Code, Cursor, etc) as a force multiplier.
- Stays connected to modern developments in ML.
What you enjoy at work
- Working in a small highly-integrated team, building new things at a very high velocity.
- Leveraging massive compute to solve hard problems.
- Learning new ideas quickly, applying them, and seeing the results of your work.
- Digging deep into confusion and inconsistencies, always trying to develop the best possible mental model of the domain.
ML Infrastructure Engineer
What you will be doing
EquiLibre is expanding its on-prem ML compute cluster, and we need you to help us do that. From defining and refining the architecture to our ever-changing needs, to setting up the devops and monitoring infrastructure, all the way to managing the day-to-day functioning of the cluster, you will be a key contributor in all aspects of the process. This can even include running ML experiments to verify functionality and performance.
Desired qualifications
- Experience with some of Kubernetes, Docker, Terraform, GCP/AWS/Azure, SSO/IAM.
- Ability to pick up new ML and compute infra technologies quickly and deliver improvements to the compute infrastructure.
- Experience using agentic coding tools (Claude Code, Cursor, etc.) as a force multiplier.
- Experience with writing production code in some of Bash, Python, C++.
What you enjoy at work
- Working in a small highly-integrated team, building new things at a very high velocity.
- Debugging large scale distributed systems, making them run as efficiently as possible.
- Working closely with the research team to understand how the compute is being used, and helping them use it better.
Cutting-edge research
Work on problems at the frontier of AI and trading, with direct real-world impact on financial markets.
Exceptional team
Collaborate with world-class researchers from DeepMind, Google, Jane Street and other places.
Equity compensation
Our compensation packages includes equity, reflecting the value you bring to the team.